Steven A. Morley, K.S. Thyagarajan, A. Chris Irvine QUALCOMM Incorporated San Diego, CA

Size: px
Start display at page:

Download "Steven A. Morley, K.S. Thyagarajan, A. Chris Irvine QUALCOMM Incorporated San Diego, CA"

Transcription

1 Steven A. Morley, K.S. Thyagarajan, A. Chris Irvine QUALCOMM Incorporated San Diego, CA 1

2 T he T echnology of Digital Cinema Can be Des cribed in Different Ways A Set of Functional Requirements A Set of Unique System Functions SMPTE DC28 Groups Have Been Focused on These Two Descriptions A System Level Design 2

3 General Functional Flow of Digital Cinema Picture/Sound Input Compression Central Functions Encryption Formatting Transport In-Theatre Storage Decryption Decompression Projection Theatre Management In-theatre Functions Sound System 3

4 A Systems-Level Digital Cinema Architecture Standard Geo-Synchronous Ku-Band Satellite Local Network Auditorium "N" Automation System Film Studio Magnetic Tape Telecine Compression / Encryption Modulation Duplication Physical Media Demodulator Central Disc Storage Projector Decryption Decoder Digital Post Central Hub Network Management/ Conditional Access System Phone Network or Internet Theatre System Theatre Management System Audio System 4

5 Advantages to the S ys tem L evel Approach Fewer System Components Due to Synergistic Design Combining Functions in Optimized Ways Extensive Use of Off-the-Shelf Technologies Ability to Design for System Level Security and Integrated Management Systems Provides Migration Path for Future Upgrades and Enhancements Modular Design to Meet Variable Theater Requirements Maximal Use of Off-the-Shelf Equipment Limits Requirement for Unique Technologies 5

6 Where Off-the-S helf Won t Work for Digital Cinema Electronic Projector Electronic Security Image Compression Plus, Lots of Software to Support the Digital Cinema System Operation 6

7 E lectronic P rojectors Even Though No Commercially Available Projectors Exist Today for Digital Cinema, Several Technologies are Being Developed and Advanced for this Specific Application, including: TI DLP Cinema Technology JVC D-ILA Silicon Light Machines Grating Light Valve Also offerings in Transmissive Light Valve and Laser Technologies 7

8 E lectronic S ecurity Existing DBS Conditional Access Systems do not Offer Adequately Strong Security However, Digital Cinema Offers Ability to Use More Powerful Security Methods Technologies Developed for Other Applications, such as Financial Transactions and Bulk File Encryption, Can be Adapted for Digital Cinema Recent Legislation Allows Export of Very Strong Encryption Technology But, the System is Most Vulnerable to Weakest Link Attacks and Thus Needs to Consider Security as a System Level Issue Because That s the Way the Hackers Will See It 8

9 Image Compression Existing Standards Based Compression Systems have Focused on Television Applications and Have Made Trade-offs Based on That Level of Quality and the Limited Bandwidths Available Cinema Quality Compression Requires a Different Approach Simply Turning Up the Knob on the Bitrate of Existing Systems Will Not Provide the Necessary Quality Fortunately, Technologies Exist that Meet the Requirements 9

10 Compression Considerations Special Compression Systems Designed Specifically for Digital Cinema Applications Provide Cinema-quality Images at Bit Rates Averaging Less Than 40 Mbps An Example Is QUALCOMM s Adaptive Block Size Discrete Cosine Transform (ABSDCT) System Which Is Implemented in a Single-chip Solution Closely Coupled With Encryption/Security Functions and Audio Processing A 2-hour Movie Requires Only About 40 GB of Storage and Can Be Sent in Real-time Over a Standard Satellite Transponder 10

11 Digital Cinema Image Compression Requirements 10-bits or Higher per Component Full Chrominance Resolution (i.e., 4:4:4) Support of Film-Like Colorimetry Gamut Ability to Support at least 1920x1080 pixels/frame (and preferably much higher) 11

12 Digital Cinema Image Compres s ion Requirements (cont.) Compression Ratios that Support Fast Transfers of Digital Cinema Programs Agile Support for Various Resolutions, Frame Rates, Quality Levels Support for Future Upgrading Ideally Would be a Low Cost, Small Size Implementation for Embedding in Projector System 12

13 Mos t Commonly Us ed Compres s ion Systems are Based on Discrete Cosine Transforms (DCT) Image Redundancy is More Readily Filtered Out by First Transforming from Pixel Domain to Frequency Domain DCT is a Nearly Ideal Transform for Conversion from Pixel Domain to Uncorrelated Frequency Representation Once in DCT Domain, Frequency-weighted Quantization Reduces Bit Rate with Graceful Layered Reduction in Image Quality 13

14 F low Diagram of a T ypical DCT - Based Compression System Uncompressed Digital Image Input Divide Frame into NxM Pixel Blocks Discrete Cosine Transformation Frequency Weighting Quantization Zigzag Scanning Run Length Coding Lossless Huffman Coding Compressed Digital Image Output 14

15 F low Diagram of a T ypical DCT - Based Decompression System Compressed Digital Image Input Huffman Decoding Inverse Zigzag Scanning Inverse Quantization Inverse Discrete Cosine Transform Re-mosaic Blocks into Frame Uncompressed Digital Image Output 15

16 E nhancing the B asic DCT Approach While Basic DCT Approaches (such as JPEG) are OK, Enhancements Have Been Developed to Increase Efficiency Efficiency Means the Bit Rate Necessary for a Given Quality Level Most Popular Enhancement is to Use Interframe Compression (e.g., MPEG) Encodes the Differences from Frame to Frame Adds Additional Concern for Motion Artifacts and Synchronization Adds Circuit Sophistication Due to Additional Memory and Processing Difficult to Edit 16

17 The Adaptive Block Size DCT Solution Adaptive Block Size Discrete Cosine Transform (ABSDCT) Takes Advantage of the Wealth of Developed Technology Using DCT s, but Adds Unique Characteristics 17

18 QUAL COMM s AB S DCT Compression System Uses Adaptive Block Sizing Uncompressed Digital Image Input Block Size Assignment Discrete Cosine Transformation Discrete Quadtree Transform (DQT) of DC Co-eff Frequency Weighting Quantization Zigzag Scanning Run Length Coding Lossless Huffman Coding Compressed Digital Image Output 18

19 Adaptive Block Size Example 19

20 QUAL COMM s History with Image Compres s ion Invented and Developed Adaptive Block Methods Initially for Specialized Higher than Hi-Def Applications Demonstrated Realtime Compression/Decompression Hardware Implementation Enhanced ABS Algorithm Specifically for Digital Cinema Applications Introduction of Single-chip Implementation of Multi-rate Decoder 20

21 Advantages to AB S DCT Compres s ion Based on Well Developed DCT Technology with Added Special Aspect of Adaptive Pixel Block Sizing Applies Extra Attention to Local Areas with Greatest Detail Rather than Fixed 8x8 Pixel Blocks (i.e, 64 square pixels), the Average Block Area is Approx. 120 Square Pixels Excellent Compression Quality at Reasonable Bit Rates without Requiring Inter-Frame Compression Is a Much Simpler Algorithm than Inter-frame Methods Decoder or Encoder Circuits Are Implemented in a Single ASIC chip Searching and Editing are Straightforward 21

22 Advantages to AB S DCT Compres s ion Implements Compression Without Compromise Works with 10-bit Non-linear, up to 4:4:4 Sampled Images Scalable Operation from Ultra-High Quality Originals to Multiple Distribution Formats Is Scalable for Various Resolutions, Aspect Ratios, Frame Rates, Compression Ratios Format Independent Operation Transcodable to Simplify Compression Rate Conversions and Ease of Implementation Quality-based Compression (Not Fixed Rate) 22

23 Quality B as ed Encoding Approach Rather Than Set a Fixed Bit Rate for Compression, Set a Required Quality Level and Let Bit Rate Automatically Adjust to Meet that Quality Yields Better Quality at Lower Average Bit Rate 23

24 Quality-bas ed vs. F ixed R ate Compres s ion Average Bit Rate for Quality-Based Compression Approach Bit Rate for Rate-Based Compression Approach % of Frames Bits/pixel for a Given Quality Level 24

25 Scaling the ABSDCT Algorithm Once a High Quality Digital Capture Master is Generated, Various Manipulations Can Be Performed, Often in the DCT Domain Frame Resolution (Downconversion) Component Resolution (Bits per Pixel Component) Chrominance Decimation (4:2:2, etc.) Aspect Ratio (Letterbox and Pan/Scan) Frame Rate 25

26 F uture-proofnes s of AB S DCT Expanded Resolution Is Supported by Multiple Devices e.g., a 4Kx2K Image Requires Four Chips (Using Today s Technology) Still Provides Low Cost, Small Implementation The Decoder Device is Very Flexible to Work with Enhanced Encoding The ABSDCT Algorithm can Support Layered Compression, Flexible Transcoding and Resolution Remapping 26

27 T he AB S DCT Decoder Device Based on Standard CMOS Technology Implements Complete ABSDCT Decompression on a Single Chip Includes 3-DES Decryption of Image and Sound Channels Synchronizes Image and Sound Files 27

28 T he AB S DCT Decoder Device (cont.) Compressed Information is Input on Standard PCI Bus Format Output Images Provided in Standard SMPTE- 274 Interface Output Audio Supports AES-3 Formats (up to 8 Channels) Interfaces with Standard Smart Card Module which Stores Long-term Secret Key Information 28

29 QUAL COMM s Digital Cinema Decoder Module QUALCOMM ABSDCT Decoder 29

30 S ummary Implementing Digital Cinema as a System Results in the Most Cost-Effective, Secure, Future-Proof Design to Serve the Industry s Needs Off-the-Shelf Technology Can Be Used in Many of the System Functions Special Development is Needed for Projectors, Security, Management Software, and Image Compression 30

31 S ummary (cont.) Existing Television-based Image Compression Systems Do Not Meet Cinema Quality, but Specially Designed Algorithms Such as QUALCOMM s ABSDCT Approach Will The ABSDCT Algorithm Implemented in a Single Device with Built-In Encryption, Synchronization, and Audio Processing Provides a Very Effective Solution to this Key Digital Cinema Technology 31

DigiPoints Volume 1. Student Workbook. Module 8 Digital Compression

DigiPoints Volume 1. Student Workbook. Module 8 Digital Compression Digital Compression Page 8.1 DigiPoints Volume 1 Module 8 Digital Compression Summary This module describes the techniques by which digital signals are compressed in order to make it possible to carry

More information

Fundamentals of Video Compression. Video Compression

Fundamentals of Video Compression. Video Compression Fundamentals of Video Compression Introduction to Digital Video Basic Compression Techniques Still Image Compression Techniques - JPEG Video Compression Introduction to Digital Video Video is a stream

More information

IMAGE COMPRESSION. Image Compression. Why? Reducing transportation times Reducing file size. A two way event - compression and decompression

IMAGE COMPRESSION. Image Compression. Why? Reducing transportation times Reducing file size. A two way event - compression and decompression IMAGE COMPRESSION Image Compression Why? Reducing transportation times Reducing file size A two way event - compression and decompression 1 Compression categories Compression = Image coding Still-image

More information

Video Compression An Introduction

Video Compression An Introduction Video Compression An Introduction The increasing demand to incorporate video data into telecommunications services, the corporate environment, the entertainment industry, and even at home has made digital

More information

Professor Laurence S. Dooley. School of Computing and Communications Milton Keynes, UK

Professor Laurence S. Dooley. School of Computing and Communications Milton Keynes, UK Professor Laurence S. Dooley School of Computing and Communications Milton Keynes, UK How many bits required? 2.4Mbytes 84Kbytes 9.8Kbytes 50Kbytes Data Information Data and information are NOT the same!

More information

INF5063: Programming heterogeneous multi-core processors. September 17, 2010

INF5063: Programming heterogeneous multi-core processors. September 17, 2010 INF5063: Programming heterogeneous multi-core processors September 17, 2010 High data volumes: Need for compression PAL video sequence 25 images per second 3 bytes per pixel RGB (red-green-blue values)

More information

DIGITAL TELEVISION 1. DIGITAL VIDEO FUNDAMENTALS

DIGITAL TELEVISION 1. DIGITAL VIDEO FUNDAMENTALS DIGITAL TELEVISION 1. DIGITAL VIDEO FUNDAMENTALS Television services in Europe currently broadcast video at a frame rate of 25 Hz. Each frame consists of two interlaced fields, giving a field rate of 50

More information

JPEG 2000 Archive Profiles

JPEG 2000 Archive Profiles JPEG 2000 Archive Profiles Fraunhofer Digital Cinema Joachim Keinert, Siegfried Fößel 1st Int. Workshop on Standards and Technologies in Multimedia Archives and Records (STAR) Lausanne, 2010-04-26/27 joachim.keinert@iis.fraunhofer.de

More information

Lecture 12: Compression

Lecture 12: Compression Lecture 12: Compression The Digital World of Multimedia Prof. Mari Ostendorf Announcements Lab3: Finish this week Lab 4: Finish *at least* parts 1-2 this week Read the lab *before* lab You probably need

More information

CMPT 365 Multimedia Systems. Media Compression - Image

CMPT 365 Multimedia Systems. Media Compression - Image CMPT 365 Multimedia Systems Media Compression - Image Spring 2017 Edited from slides by Dr. Jiangchuan Liu CMPT365 Multimedia Systems 1 Facts about JPEG JPEG - Joint Photographic Experts Group International

More information

Multimedia Networking ECE 599

Multimedia Networking ECE 599 Multimedia Networking ECE 599 Prof. Thinh Nguyen School of Electrical Engineering and Computer Science Based on B. Lee s lecture notes. 1 Outline Compression basics Entropy and information theory basics

More information

15 Data Compression 2014/9/21. Objectives After studying this chapter, the student should be able to: 15-1 LOSSLESS COMPRESSION

15 Data Compression 2014/9/21. Objectives After studying this chapter, the student should be able to: 15-1 LOSSLESS COMPRESSION 15 Data Compression Data compression implies sending or storing a smaller number of bits. Although many methods are used for this purpose, in general these methods can be divided into two broad categories:

More information

Video Compression MPEG-4. Market s requirements for Video compression standard

Video Compression MPEG-4. Market s requirements for Video compression standard Video Compression MPEG-4 Catania 10/04/2008 Arcangelo Bruna Market s requirements for Video compression standard Application s dependent Set Top Boxes (High bit rate) Digital Still Cameras (High / mid

More information

The Pros and Cons of JPEG 2000 for Video Archiving. Katty Van Mele November, 2010

The Pros and Cons of JPEG 2000 for Video Archiving. Katty Van Mele November, 2010 The Pros and Cons of JPEG 2000 for Video Archiving Katty Van Mele November, 2010 Overview Introduction Current situation Multiple challenges Archiving challenges for cinema and video content JPEG 2000

More information

Compression II: Images (JPEG)

Compression II: Images (JPEG) Compression II: Images (JPEG) What is JPEG? JPEG: Joint Photographic Expert Group an international standard in 1992. Works with colour and greyscale images Up 24 bit colour images (Unlike GIF) Target Photographic

More information

Introduction ti to JPEG

Introduction ti to JPEG Introduction ti to JPEG JPEG: Joint Photographic Expert Group work under 3 standards: ISO, CCITT, IEC Purpose: image compression Compression accuracy Works on full-color or gray-scale image Color Grayscale

More information

Compression Part 2 Lossy Image Compression (JPEG) Norm Zeck

Compression Part 2 Lossy Image Compression (JPEG) Norm Zeck Compression Part 2 Lossy Image Compression (JPEG) General Compression Design Elements 2 Application Application Model Encoder Model Decoder Compression Decompression Models observe that the sensors (image

More information

Layered Compression Technologies for Digital Cinematography. and Cross Media Conversion. 15 Feb 07 1

Layered Compression Technologies for Digital Cinematography. and Cross Media Conversion. 15 Feb 07 1 Layered Compression Technologies for Digital Cinematography and Cross Media Conversion 15 Feb 07 1 Motivation Optimized workflow for the complete production chain for Digital Cinema in 4k does not exist

More information

What is multimedia? Multimedia. Continuous media. Most common media types. Continuous media processing. Interactivity. What is multimedia?

What is multimedia? Multimedia. Continuous media. Most common media types. Continuous media processing. Interactivity. What is multimedia? Multimedia What is multimedia? Media types +Text + Graphics + Audio +Image +Video Interchange formats What is multimedia? Multimedia = many media User interaction = interactivity Script = time 1 2 Most

More information

VC 12/13 T16 Video Compression

VC 12/13 T16 Video Compression VC 12/13 T16 Video Compression Mestrado em Ciência de Computadores Mestrado Integrado em Engenharia de Redes e Sistemas Informáticos Miguel Tavares Coimbra Outline The need for compression Types of redundancy

More information

WorldScreen. Layered Scheme Compression for the Digital Cinema Chain. Mike Christmann.

WorldScreen. Layered Scheme Compression for the Digital Cinema Chain. Mike Christmann. WorldScreen Layered Scheme Compression for the Digital Cinema Chain Mike Christmann http://www.worldscreen.org Project Overview Acronym: WorldScreen Duration: 09/2004 04/2007 Partners: 8 + 2 associated

More information

Multimedia. What is multimedia? Media types. Interchange formats. + Text +Graphics +Audio +Image +Video. Petri Vuorimaa 1

Multimedia. What is multimedia? Media types. Interchange formats. + Text +Graphics +Audio +Image +Video. Petri Vuorimaa 1 Multimedia What is multimedia? Media types + Text +Graphics +Audio +Image +Video Interchange formats Petri Vuorimaa 1 What is multimedia? Multimedia = many media User interaction = interactivity Script

More information

CS 335 Graphics and Multimedia. Image Compression

CS 335 Graphics and Multimedia. Image Compression CS 335 Graphics and Multimedia Image Compression CCITT Image Storage and Compression Group 3: Huffman-type encoding for binary (bilevel) data: FAX Group 4: Entropy encoding without error checks of group

More information

Lecture 5: Compression I. This Week s Schedule

Lecture 5: Compression I. This Week s Schedule Lecture 5: Compression I Reading: book chapter 6, section 3 &5 chapter 7, section 1, 2, 3, 4, 8 Today: This Week s Schedule The concept behind compression Rate distortion theory Image compression via DCT

More information

Review and Implementation of DWT based Scalable Video Coding with Scalable Motion Coding.

Review and Implementation of DWT based Scalable Video Coding with Scalable Motion Coding. Project Title: Review and Implementation of DWT based Scalable Video Coding with Scalable Motion Coding. Midterm Report CS 584 Multimedia Communications Submitted by: Syed Jawwad Bukhari 2004-03-0028 About

More information

Digital Image Processing

Digital Image Processing Digital Image Processing Fundamentals of Image Compression DR TANIA STATHAKI READER (ASSOCIATE PROFFESOR) IN SIGNAL PROCESSING IMPERIAL COLLEGE LONDON Compression New techniques have led to the development

More information

A real-time SNR scalable transcoder for MPEG-2 video streams

A real-time SNR scalable transcoder for MPEG-2 video streams EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science A real-time SNR scalable transcoder for MPEG-2 video streams by Mohammad Al-khrayshah Supervisors: Prof. J.J. Lukkien Eindhoven

More information

Part 1 of 4. MARCH

Part 1 of 4. MARCH Presented by Brought to You by Part 1 of 4 MARCH 2004 www.securitysales.com A1 Part1of 4 Essentials of DIGITAL VIDEO COMPRESSION By Bob Wimmer Video Security Consultants cctvbob@aol.com AT A GLANCE Compression

More information

Video coding. Concepts and notations.

Video coding. Concepts and notations. TSBK06 video coding p.1/47 Video coding Concepts and notations. A video signal consists of a time sequence of images. Typical frame rates are 24, 25, 30, 50 and 60 images per seconds. Each image is either

More information

How to achieve low latency audio/video streaming over IP network?

How to achieve low latency audio/video streaming over IP network? February 2018 How to achieve low latency audio/video streaming over IP network? Jean-Marie Cloquet, Video Division Director, Silex Inside Gregory Baudet, Marketing Manager, Silex Inside Standard audio

More information

Robert Matthew Buckley. Nova Southeastern University. Dr. Laszlo. MCIS625 On Line. Module 2 Graphics File Format Essay

Robert Matthew Buckley. Nova Southeastern University. Dr. Laszlo. MCIS625 On Line. Module 2 Graphics File Format Essay 1 Robert Matthew Buckley Nova Southeastern University Dr. Laszlo MCIS625 On Line Module 2 Graphics File Format Essay 2 JPEG COMPRESSION METHOD Joint Photographic Experts Group (JPEG) is the most commonly

More information

Compressed-Domain Video Processing and Transcoding

Compressed-Domain Video Processing and Transcoding Compressed-Domain Video Processing and Transcoding Susie Wee, John Apostolopoulos Mobile & Media Systems Lab HP Labs Stanford EE392J Lecture 2006 Hewlett-Packard Development Company, L.P. The information

More information

Multimedia Systems Image III (Image Compression, JPEG) Mahdi Amiri April 2011 Sharif University of Technology

Multimedia Systems Image III (Image Compression, JPEG) Mahdi Amiri April 2011 Sharif University of Technology Course Presentation Multimedia Systems Image III (Image Compression, JPEG) Mahdi Amiri April 2011 Sharif University of Technology Image Compression Basics Large amount of data in digital images File size

More information

2014 Summer School on MPEG/VCEG Video. Video Coding Concept

2014 Summer School on MPEG/VCEG Video. Video Coding Concept 2014 Summer School on MPEG/VCEG Video 1 Video Coding Concept Outline 2 Introduction Capture and representation of digital video Fundamentals of video coding Summary Outline 3 Introduction Capture and representation

More information

Digital video coding systems MPEG-1/2 Video

Digital video coding systems MPEG-1/2 Video Digital video coding systems MPEG-1/2 Video Introduction What is MPEG? Moving Picture Experts Group Standard body for delivery of video and audio. Part of ISO/IEC/JTC1/SC29/WG11 150 companies & research

More information

Compression; Error detection & correction

Compression; Error detection & correction Compression; Error detection & correction compression: squeeze out redundancy to use less memory or use less network bandwidth encode the same information in fewer bits some bits carry no information some

More information

The Power and Bandwidth Advantage of an H.264 IP Core with 8-16:1 Compressed Reference Frame Store

The Power and Bandwidth Advantage of an H.264 IP Core with 8-16:1 Compressed Reference Frame Store The Power and Bandwidth Advantage of an H.264 IP Core with 8-16:1 Compressed Reference Frame Store Building a new class of H.264 devices without external DRAM Power is an increasingly important consideration

More information

ECE 417 Guest Lecture Video Compression in MPEG-1/2/4. Min-Hsuan Tsai Apr 02, 2013

ECE 417 Guest Lecture Video Compression in MPEG-1/2/4. Min-Hsuan Tsai Apr 02, 2013 ECE 417 Guest Lecture Video Compression in MPEG-1/2/4 Min-Hsuan Tsai Apr 2, 213 What is MPEG and its standards MPEG stands for Moving Picture Expert Group Develop standards for video/audio compression

More information

MRT based Fixed Block size Transform Coding

MRT based Fixed Block size Transform Coding 3 MRT based Fixed Block size Transform Coding Contents 3.1 Transform Coding..64 3.1.1 Transform Selection...65 3.1.2 Sub-image size selection... 66 3.1.3 Bit Allocation.....67 3.2 Transform coding using

More information

Computer and Machine Vision

Computer and Machine Vision Computer and Machine Vision Deeper Dive into MPEG Digital Video Encoding January 22, 2014 Sam Siewert Reminders CV and MV Use UNCOMPRESSED FRAMES Remote Cameras (E.g. Security) May Need to Transport Frames

More information

Interframe coding A video scene captured as a sequence of frames can be efficiently coded by estimating and compensating for motion between frames pri

Interframe coding A video scene captured as a sequence of frames can be efficiently coded by estimating and compensating for motion between frames pri MPEG MPEG video is broken up into a hierarchy of layer From the top level, the first layer is known as the video sequence layer, and is any self contained bitstream, for example a coded movie. The second

More information

About MPEG Compression. More About Long-GOP Video

About MPEG Compression. More About Long-GOP Video About MPEG Compression HD video requires significantly more data than SD video. A single HD video frame can require up to six times more data than an SD frame. To record such large images with such a low

More information

MULTIMEDIA AND CODING

MULTIMEDIA AND CODING 07 MULTIMEDIA AND CODING WHAT MEDIA TYPES WE KNOW? TEXTS IMAGES SOUNDS MUSIC VIDEO INTERACTIVE CONTENT Games Virtual reality EXAMPLES OF MULTIMEDIA MOVIE audio + video COMPUTER GAME audio + video + interactive

More information

Multimedia Communications. Transform Coding

Multimedia Communications. Transform Coding Multimedia Communications Transform Coding Transform coding Transform coding: source output is transformed into components that are coded according to their characteristics If a sequence of inputs is transformed

More information

Lecture 8 JPEG Compression (Part 3)

Lecture 8 JPEG Compression (Part 3) CS 414 Multimedia Systems Design Lecture 8 JPEG Compression (Part 3) Klara Nahrstedt Spring 2012 Administrative MP1 is posted Today Covered Topics Hybrid Coding: JPEG Coding Reading: Section 7.5 out of

More information

CISC 7610 Lecture 3 Multimedia data and data formats

CISC 7610 Lecture 3 Multimedia data and data formats CISC 7610 Lecture 3 Multimedia data and data formats Topics: Perceptual limits of multimedia data JPEG encoding of images MPEG encoding of audio MPEG and H.264 encoding of video Multimedia data: Perceptual

More information

So, what is data compression, and why do we need it?

So, what is data compression, and why do we need it? In the last decade we have been witnessing a revolution in the way we communicate 2 The major contributors in this revolution are: Internet; The explosive development of mobile communications; and The

More information

7.5 Dictionary-based Coding

7.5 Dictionary-based Coding 7.5 Dictionary-based Coding LZW uses fixed-length code words to represent variable-length strings of symbols/characters that commonly occur together, e.g., words in English text LZW encoder and decoder

More information

Figure 1. Generic Encoder. Window. Spectral Analysis. Psychoacoustic Model. Quantize. Pack Data into Frames. Additional Coding.

Figure 1. Generic Encoder. Window. Spectral Analysis. Psychoacoustic Model. Quantize. Pack Data into Frames. Additional Coding. Introduction to Digital Audio Compression B. Cavagnolo and J. Bier Berkeley Design Technology, Inc. 2107 Dwight Way, Second Floor Berkeley, CA 94704 (510) 665-1600 info@bdti.com http://www.bdti.com INTRODUCTION

More information

Megapixel Video for. Part 2 of 4. Brought to You by. Presented by Video Security Consultants

Megapixel Video for. Part 2 of 4. Brought to You by. Presented by Video Security Consultants rought to You by 2009 Video Security Consultants Presented by Part 2 of 4 A1 Part 2 of 4 How to Avert a Compression Depression Illustration by Jerry King While bandwidth is widening, larger video systems

More information

CHAPTER 6. 6 Huffman Coding Based Image Compression Using Complex Wavelet Transform. 6.3 Wavelet Transform based compression technique 106

CHAPTER 6. 6 Huffman Coding Based Image Compression Using Complex Wavelet Transform. 6.3 Wavelet Transform based compression technique 106 CHAPTER 6 6 Huffman Coding Based Image Compression Using Complex Wavelet Transform Page No 6.1 Introduction 103 6.2 Compression Techniques 104 103 6.2.1 Lossless compression 105 6.2.2 Lossy compression

More information

Digital Communication Prof. Bikash Kumar Dey Department of Electrical Engineering Indian Institute of Technology, Bombay

Digital Communication Prof. Bikash Kumar Dey Department of Electrical Engineering Indian Institute of Technology, Bombay Digital Communication Prof. Bikash Kumar Dey Department of Electrical Engineering Indian Institute of Technology, Bombay Lecture - 26 Source Coding (Part 1) Hello everyone, we will start a new module today

More information

Image and Video Compression Fundamentals

Image and Video Compression Fundamentals Video Codec Design Iain E. G. Richardson Copyright q 2002 John Wiley & Sons, Ltd ISBNs: 0-471-48553-5 (Hardback); 0-470-84783-2 (Electronic) Image and Video Compression Fundamentals 3.1 INTRODUCTION Representing

More information

Advanced Encoding Features of the Sencore TXS Transcoder

Advanced Encoding Features of the Sencore TXS Transcoder Advanced Encoding Features of the Sencore TXS Transcoder White Paper November 2011 Page 1 (11) www.sencore.com 1.605.978.4600 Revision 1.0 Document Revision History Date Version Description Author 11/7/2011

More information

Digital Video Processing

Digital Video Processing Video signal is basically any sequence of time varying images. In a digital video, the picture information is digitized both spatially and temporally and the resultant pixel intensities are quantized.

More information

Scalable Video Coding

Scalable Video Coding Introduction to Multimedia Computing Scalable Video Coding 1 Topics Video On Demand Requirements Video Transcoding Scalable Video Coding Spatial Scalability Temporal Scalability Signal to Noise Scalability

More information

Tech Note - 05 Surveillance Systems that Work! Calculating Recorded Volume Disk Space

Tech Note - 05 Surveillance Systems that Work! Calculating Recorded Volume Disk Space Tech Note - 05 Surveillance Systems that Work! Surveillance Systems Calculating required storage drive (disk space) capacity is sometimes be a rather tricky business. This Tech Note is written to inform

More information

Outline Introduction MPEG-2 MPEG-4. Video Compression. Introduction to MPEG. Prof. Pratikgiri Goswami

Outline Introduction MPEG-2 MPEG-4. Video Compression. Introduction to MPEG. Prof. Pratikgiri Goswami to MPEG Prof. Pratikgiri Goswami Electronics & Communication Department, Shree Swami Atmanand Saraswati Institute of Technology, Surat. Outline of Topics 1 2 Coding 3 Video Object Representation Outline

More information

Perceptual Coding. Lossless vs. lossy compression Perceptual models Selecting info to eliminate Quantization and entropy encoding

Perceptual Coding. Lossless vs. lossy compression Perceptual models Selecting info to eliminate Quantization and entropy encoding Perceptual Coding Lossless vs. lossy compression Perceptual models Selecting info to eliminate Quantization and entropy encoding Part II wrap up 6.082 Fall 2006 Perceptual Coding, Slide 1 Lossless vs.

More information

Advanced Video Coding: The new H.264 video compression standard

Advanced Video Coding: The new H.264 video compression standard Advanced Video Coding: The new H.264 video compression standard August 2003 1. Introduction Video compression ( video coding ), the process of compressing moving images to save storage space and transmission

More information

CAT862 Dolby JPEG 2000/MPEG-2 Media Block IDC Security Policy. Version 3 June 30, 2010

CAT862 Dolby JPEG 2000/MPEG-2 Media Block IDC Security Policy. Version 3 June 30, 2010 CAT862 Dolby JPEG 2000/MPEG-2 Media Block IDC Security Policy Version 3 June 30, 2010 Dolby Laboratories Licensing Corporation Corporate Headquarters Dolby Laboratories, Inc. Dolby Laboratories Licensing

More information

Scalable Compression and Transmission of Large, Three- Dimensional Materials Microstructures

Scalable Compression and Transmission of Large, Three- Dimensional Materials Microstructures Scalable Compression and Transmission of Large, Three- Dimensional Materials Microstructures William A. Pearlman Center for Image Processing Research Rensselaer Polytechnic Institute pearlw@ecse.rpi.edu

More information

Optical Storage Technology. MPEG Data Compression

Optical Storage Technology. MPEG Data Compression Optical Storage Technology MPEG Data Compression MPEG-1 1 Audio Standard Moving Pictures Expert Group (MPEG) was formed in 1988 to devise compression techniques for audio and video. It first devised the

More information

Index. 1. Motivation 2. Background 3. JPEG Compression The Discrete Cosine Transformation Quantization Coding 4. MPEG 5.

Index. 1. Motivation 2. Background 3. JPEG Compression The Discrete Cosine Transformation Quantization Coding 4. MPEG 5. Index 1. Motivation 2. Background 3. JPEG Compression The Discrete Cosine Transformation Quantization Coding 4. MPEG 5. Literature Lossy Compression Motivation To meet a given target bit-rate for storage

More information

Source Coding Techniques

Source Coding Techniques Source Coding Techniques Source coding is based on changing the content of the original signal. Also called semantic-based coding. Compression rates may be higher but at a price of loss of information.

More information

ECE 499/599 Data Compression & Information Theory. Thinh Nguyen Oregon State University

ECE 499/599 Data Compression & Information Theory. Thinh Nguyen Oregon State University ECE 499/599 Data Compression & Information Theory Thinh Nguyen Oregon State University Adminstrivia Office Hours TTh: 2-3 PM Kelley Engineering Center 3115 Class homepage http://www.eecs.orst.edu/~thinhq/teaching/ece499/spring06/spring06.html

More information

A Parallel Reconfigurable Architecture for DCT of Lengths N=32/16/8

A Parallel Reconfigurable Architecture for DCT of Lengths N=32/16/8 Page20 A Parallel Reconfigurable Architecture for DCT of Lengths N=32/16/8 ABSTRACT: Parthiban K G* & Sabin.A.B ** * Professor, M.P. Nachimuthu M. Jaganathan Engineering College, Erode, India ** PG Scholar,

More information

Features. Sequential encoding. Progressive encoding. Hierarchical encoding. Lossless encoding using a different strategy

Features. Sequential encoding. Progressive encoding. Hierarchical encoding. Lossless encoding using a different strategy JPEG JPEG Joint Photographic Expert Group Voted as international standard in 1992 Works with color and grayscale images, e.g., satellite, medical,... Motivation: The compression ratio of lossless methods

More information

CSCD 443/533 Advanced Networks Fall 2017

CSCD 443/533 Advanced Networks Fall 2017 CSCD 443/533 Advanced Networks Fall 2017 Lecture 18 Compression of Video and Audio 1 Topics Compression technology Motivation Human attributes make it possible Audio Compression Video Compression Performance

More information

A Reversible Data Hiding Scheme for BTC- Compressed Images

A Reversible Data Hiding Scheme for BTC- Compressed Images IJACSA International Journal of Advanced Computer Science and Applications, A Reversible Data Hiding Scheme for BTC- Compressed Images Ching-Chiuan Lin Shih-Chieh Chen Department of Multimedia and Game

More information

EE 5359 H.264 to VC 1 Transcoding

EE 5359 H.264 to VC 1 Transcoding EE 5359 H.264 to VC 1 Transcoding Vidhya Vijayakumar Multimedia Processing Lab MSEE, University of Texas @ Arlington vidhya.vijayakumar@mavs.uta.edu Guided by Dr.K.R. Rao Goals Goals The goal of this project

More information

Image coding and compression

Image coding and compression Image coding and compression Robin Strand Centre for Image Analysis Swedish University of Agricultural Sciences Uppsala University Today Information and Data Redundancy Image Quality Compression Coding

More information

Cisco AnyRes Video on Demand Analysis Node

Cisco AnyRes Video on Demand Analysis Node Data Sheet Cisco AnyRes Video on Demand Analysis Node Product Overview Cisco AnyRes Video on Demand (VoD) helps expand the revenue potential of video content for service providers, media distributors,

More information

High Efficiency Video Coding: The Next Gen Codec. Matthew Goldman Senior Vice President TV Compression Technology Ericsson

High Efficiency Video Coding: The Next Gen Codec. Matthew Goldman Senior Vice President TV Compression Technology Ericsson High Efficiency Video Coding: The Next Gen Codec Matthew Goldman Senior Vice President TV Compression Technology Ericsson High Efficiency Video Coding Compression Bitrate Targets Bitrate MPEG-2 VIDEO 1994

More information

Bits and Bit Patterns

Bits and Bit Patterns Bits and Bit Patterns Bit: Binary Digit (0 or 1) Bit Patterns are used to represent information. Numbers Text characters Images Sound And others 0-1 Boolean Operations Boolean Operation: An operation that

More information

Chapter 11.3 MPEG-2. MPEG-2: For higher quality video at a bit-rate of more than 4 Mbps Defined seven profiles aimed at different applications:

Chapter 11.3 MPEG-2. MPEG-2: For higher quality video at a bit-rate of more than 4 Mbps Defined seven profiles aimed at different applications: Chapter 11.3 MPEG-2 MPEG-2: For higher quality video at a bit-rate of more than 4 Mbps Defined seven profiles aimed at different applications: Simple, Main, SNR scalable, Spatially scalable, High, 4:2:2,

More information

MPEG-l.MPEG-2, MPEG-4

MPEG-l.MPEG-2, MPEG-4 The MPEG Handbook MPEG-l.MPEG-2, MPEG-4 Second edition John Watkinson PT ^PVTPR AMSTERDAM BOSTON HEIDELBERG LONDON. NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY TOKYO Focal Press is an

More information

Multimedia Standards

Multimedia Standards Multimedia Standards SS 2017 Lecture 5 Prof. Dr.-Ing. Karlheinz Brandenburg Karlheinz.Brandenburg@tu-ilmenau.de Contact: Dipl.-Inf. Thomas Köllmer thomas.koellmer@tu-ilmenau.de 1 Organisational issues

More information

JPEG Modes of Operation. Nimrod Peleg Dec. 2005

JPEG Modes of Operation. Nimrod Peleg Dec. 2005 JPEG Modes of Operation Nimrod Peleg Dec. 2005 Color Space Conversion Example: R G B = Y Cb Cr Remember: all JPEG process is operating on YCbCr color space! Down-Sampling Another optional action is down-sampling

More information

The Perils of Preserving Digitized and Born-Digital Video

The Perils of Preserving Digitized and Born-Digital Video The Perils of Preserving Digitized and Born-Digital Video A Presentation for the Council of Intermountain Archivists Fall, 2011 Jimi Jones Digital Audiovisual Formats Specialist Office of Strategic Initiatives

More information

Bluray (

Bluray ( Bluray (http://www.blu-ray.com/faq) MPEG-2 - enhanced for HD, also used for playback of DVDs and HDTV recordings MPEG-4 AVC - part of the MPEG-4 standard also known as H.264 (High Profile and Main Profile)

More information

Agenda. Introduction Market trend and application 1394 Market Analysis Data 1394 and industry Applications. Other Technologies USB DVI

Agenda. Introduction Market trend and application 1394 Market Analysis Data 1394 and industry Applications. Other Technologies USB DVI Agenda Introduction Market trend and application 1394 Market Analysis Data 1394 and industry Applications Technology What is 1394? Why 1394? Applications 1394 Protocol PHY Link Layer Transaction Layer

More information

ALMA TECHNOLOGIES VIDEO ENCODING & IMAGE COMPRESSION PRODUCTS CATALOG. Copyright 2012 ALMA TECHNOLOGIES S.A. All rights reserved.

ALMA TECHNOLOGIES VIDEO ENCODING & IMAGE COMPRESSION PRODUCTS CATALOG. Copyright 2012 ALMA TECHNOLOGIES S.A. All rights reserved. ALMA TECHNOLOGIES VIDEO ENCODING & IMAGE COMPRESSION PRODUCTS 2012-2013 CATALOG Copyright 2012 ALMA TECHNOLOGIES S.A. All rights reserved. XILINX and ARTIX are registered trademarks of Xilinx, Inc. ALTERA,

More information

IMAGE COMPRESSION USING HYBRID QUANTIZATION METHOD IN JPEG

IMAGE COMPRESSION USING HYBRID QUANTIZATION METHOD IN JPEG IMAGE COMPRESSION USING HYBRID QUANTIZATION METHOD IN JPEG MANGESH JADHAV a, SNEHA GHANEKAR b, JIGAR JAIN c a 13/A Krishi Housing Society, Gokhale Nagar, Pune 411016,Maharashtra, India. (mail2mangeshjadhav@gmail.com)

More information

Recommended Readings

Recommended Readings Lecture 11: Media Adaptation Scalable Coding, Dealing with Errors Some slides, images were from http://ip.hhi.de/imagecom_g1/savce/index.htm and John G. Apostolopoulos http://www.mit.edu/~6.344/spring2004

More information

A NEW ENTROPY ENCODING ALGORITHM FOR IMAGE COMPRESSION USING DCT

A NEW ENTROPY ENCODING ALGORITHM FOR IMAGE COMPRESSION USING DCT A NEW ENTROPY ENCODING ALGORITHM FOR IMAGE COMPRESSION USING DCT D.Malarvizhi 1 Research Scholar Dept of Computer Science & Eng Alagappa University Karaikudi 630 003. Dr.K.Kuppusamy 2 Associate Professor

More information

A COMPRESSION TECHNIQUES IN DIGITAL IMAGE PROCESSING - REVIEW

A COMPRESSION TECHNIQUES IN DIGITAL IMAGE PROCESSING - REVIEW A COMPRESSION TECHNIQUES IN DIGITAL IMAGE PROCESSING - ABSTRACT: REVIEW M.JEYAPRATHA 1, B.POORNA VENNILA 2 Department of Computer Application, Nadar Saraswathi College of Arts and Science, Theni, Tamil

More information

Image, video and audio coding concepts. Roadmap. Rationale. Stefan Alfredsson. (based on material by Johan Garcia)

Image, video and audio coding concepts. Roadmap. Rationale. Stefan Alfredsson. (based on material by Johan Garcia) Image, video and audio coding concepts Stefan Alfredsson (based on material by Johan Garcia) Roadmap XML Data structuring Loss-less compression (huffman, LZ77,...) Lossy compression Rationale Compression

More information

JPEG: An Image Compression System. Nimrod Peleg update: Nov. 2003

JPEG: An Image Compression System. Nimrod Peleg update: Nov. 2003 JPEG: An Image Compression System Nimrod Peleg update: Nov. 2003 Basic Structure Source Image Data Reconstructed Image Data Encoder Compressed Data Decoder Encoder Structure Source Image Data Compressed

More information

CS 260: Seminar in Computer Science: Multimedia Networking

CS 260: Seminar in Computer Science: Multimedia Networking CS 260: Seminar in Computer Science: Multimedia Networking Jiasi Chen Lectures: MWF 4:10-5pm in CHASS http://www.cs.ucr.edu/~jiasi/teaching/cs260_spring17/ Multimedia is User perception Content creation

More information

Topic 5 Image Compression

Topic 5 Image Compression Topic 5 Image Compression Introduction Data Compression: The process of reducing the amount of data required to represent a given quantity of information. Purpose of Image Compression: the reduction of

More information

Data Compression Fundamentals

Data Compression Fundamentals 1 Data Compression Fundamentals Touradj Ebrahimi Touradj.Ebrahimi@epfl.ch 2 Several classifications of compression methods are possible Based on data type :» Generic data compression» Audio compression»

More information

Lecture Information Multimedia Video Coding & Architectures

Lecture Information Multimedia Video Coding & Architectures Multimedia Video Coding & Architectures (5LSE0), Module 01 Introduction to coding aspects 1 Lecture Information Lecturer Prof.dr.ir. Peter H.N. de With Faculty Electrical Engineering, University Technology

More information

JPEG Compression Using MATLAB

JPEG Compression Using MATLAB JPEG Compression Using MATLAB Anurag, Sonia Rani M.Tech Student, HOD CSE CSE Department, ITS Bhiwani India ABSTRACT Creating, editing, and generating s in a very regular system today is a major priority.

More information

WHITE PAPER ON2 TECHNOLOGIES, INC. TrueMotion VP7 Video Codec. January 10, 2005 Document Version: 1.0

WHITE PAPER ON2 TECHNOLOGIES, INC. TrueMotion VP7 Video Codec. January 10, 2005 Document Version: 1.0 ON2 TECHNOLOGIES, INC. WHITE PAPER TrueMotion VP7 Video Codec January 10, 2005 Document Version: 1.0 On2 Technologies, Inc. 21 Corporate Drive Suite 103 Clifton Park, NY 12065 www.on2.com Contents Introduction...

More information

A Image Comparative Study using DCT, Fast Fourier, Wavelet Transforms and Huffman Algorithm

A Image Comparative Study using DCT, Fast Fourier, Wavelet Transforms and Huffman Algorithm International Journal of Engineering Research and General Science Volume 3, Issue 4, July-August, 15 ISSN 91-2730 A Image Comparative Study using DCT, Fast Fourier, Wavelet Transforms and Huffman Algorithm

More information

Lecture 6 Introduction to JPEG compression

Lecture 6 Introduction to JPEG compression INF5442/INF9442 Image Sensor Circuits and Systems Lecture 6 Introduction to JPEG compression 11-October-2017 Course Project schedule Task/milestone Start Finish Decide topic and high level requirements

More information

Interactive Progressive Encoding System For Transmission of Complex Images

Interactive Progressive Encoding System For Transmission of Complex Images Interactive Progressive Encoding System For Transmission of Complex Images Borko Furht 1, Yingli Wang 1, and Joe Celli 2 1 NSF Multimedia Laboratory Florida Atlantic University, Boca Raton, Florida 33431

More information

Compression of Stereo Images using a Huffman-Zip Scheme

Compression of Stereo Images using a Huffman-Zip Scheme Compression of Stereo Images using a Huffman-Zip Scheme John Hamann, Vickey Yeh Department of Electrical Engineering, Stanford University Stanford, CA 94304 jhamann@stanford.edu, vickey@stanford.edu Abstract

More information

15: OS Scheduling and Buffering

15: OS Scheduling and Buffering 15: OS Scheduling and ing Mark Handley Typical Audio Pipeline (sender) Sending Host Audio Device Application A->D Device Kernel App Compress Encode for net RTP ed pending DMA to host (~10ms according to

More information