RECOMMENDATION ITU-R BT

Similar documents
Updates in MPEG-4 AVC (H.264) Standard to Improve Picture Quality and Usability

NEW CAVLC ENCODING ALGORITHM FOR LOSSLESS INTRA CODING IN H.264/AVC. Jin Heo, Seung-Hwan Kim, and Yo-Sung Ho

Reducing/eliminating visual artifacts in HEVC by the deblocking filter.

EE 5359 Low Complexity H.264 encoder for mobile applications. Thejaswini Purushotham Student I.D.: Date: February 18,2010

EE Low Complexity H.264 encoder for mobile applications

MAXIMIZING BANDWIDTH EFFICIENCY

Video Coding. Video Coding (esp. ITU & ISO/IEC Standards) Standardization Organizations. The Scope of Picture and Video Coding Standardization

Performance Analysis of DIRAC PRO with H.264 Intra frame coding

Comparative and performance analysis of HEVC and H.264 Intra frame coding and JPEG2000

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

Upcoming Video Standards. Madhukar Budagavi, Ph.D. DSPS R&D Center, Dallas Texas Instruments Inc.

Mark Kogan CTO Video Delivery Technologies Bluebird TV

Image and Video Coding I: Fundamentals

Compression of 3-Dimensional Medical Image Data Using Part 2 of JPEG 2000

H.264 High Profile: Codec for Broadcast & Professional Video Application

White paper: Video Coding A Timeline

MediaTek High Efficiency Video Coding

Advanced Encoding Features of the Sencore TXS Transcoder

Deblocking Filter Algorithm with Low Complexity for H.264 Video Coding

Testing HEVC model HM on objective and subjective way

Reduced Frame Quantization in Video Coding

ZEN / ZEN Vision Series Video Encoding Guidelines

NOT FOR DISTRIBUTION OR REPRODUCTION

Development of mixed screen content coding technology: SCC-HEVC extensions framework

International Journal of Emerging Technology and Advanced Engineering Website: (ISSN , Volume 2, Issue 4, April 2012)

Homogeneous Transcoding of HEVC for bit rate reduction

An Efficient Mode Selection Algorithm for H.264

An Efficient Table Prediction Scheme for CAVLC

Fast Decision of Block size, Prediction Mode and Intra Block for H.264 Intra Prediction EE Gaurav Hansda

The Scope of Picture and Video Coding Standardization

A LOW-COMPLEXITY AND LOSSLESS REFERENCE FRAME ENCODER ALGORITHM FOR VIDEO CODING

Comparative and performance analysis of HEVC and H.264 Intra frame coding and JPEG2000

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

Digital Video Processing

Optical Storage Technology. MPEG Data Compression

H.264 Based Video Compression

Efficient MPEG-2 to H.264/AVC Intra Transcoding in Transform-domain

Performance Comparison between DWT-based and DCT-based Encoders

Reduced 4x4 Block Intra Prediction Modes using Directional Similarity in H.264/AVC

SAD implementation and optimization for H.264/AVC encoder on TMS320C64 DSP

Video Quality for Live Adaptive Bit-Rate Streaming: Achieving Consistency and Efficiency

MISB EG Motion Imagery Standards Board Engineering Guideline. 24 April Delivery of Low Bandwidth Motion Imagery. 1 Scope.

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

H.264/AVC BASED NEAR LOSSLESS INTRA CODEC USING LINE-BASED PREDICTION AND MODIFIED CABAC. Jung-Ah Choi, Jin Heo, and Yo-Sung Ho

Part 1 of 4. MARCH

VIDEO AND IMAGE PROCESSING USING DSP AND PFGA. Chapter 3: Video Processing

MULTIMEDIA SYSTEMS

Vector Bank Based Multimedia Codec System-on-a-Chip (SoC) Design

COMPARISON OF HIGH EFFICIENCY VIDEO CODING (HEVC) PERFORMANCE WITH H.264 ADVANCED VIDEO CODING (AVC)

A Dedicated Hardware Solution for the HEVC Interpolation Unit

Multi-View Image Coding in 3-D Space Based on 3-D Reconstruction

IMPROVED CONTEXT-ADAPTIVE ARITHMETIC CODING IN H.264/AVC

VHDL Implementation of H.264 Video Coding Standard

HEVC The Next Generation Video Coding. 1 ELEG5502 Video Coding Technology

Improved Context-Based Adaptive Binary Arithmetic Coding in MPEG-4 AVC/H.264 Video Codec

Title Adaptive Lagrange Multiplier for Low Bit Rates in H.264.

Video coding. Concepts and notations.

High Efficiency Video Coding (HEVC) test model HM vs. HM- 16.6: objective and subjective performance analysis

WHITE PAPER. An explanation of video compression techniques.

RECOMMENDATION ITU-R BT.1720 *

A COST-EFFICIENT RESIDUAL PREDICTION VLSI ARCHITECTURE FOR H.264/AVC SCALABLE EXTENSION

Investigation of the GoP Structure for H.26L Video Streams

Adaptation of Scalable Video Coding to Packet Loss and its Performance Analysis

HDTV: concatenated compression EBU test results Credits to the EBU projects P/HDTP (M.Visca, RAI) and D/HDC (R.Schaefer, IRT) and their Members

Signal Processing: Image Communication

ISO/IEC TR TECHNICAL REPORT. Information technology Coding of audio-visual objects Part 24: Audio and systems interaction

DIGITAL TELEVISION 1. DIGITAL VIDEO FUNDAMENTALS

MPEG-4 Part 10 AVC (H.264) Video Encoding

Advanced High Graphics

ISO/IEC INTERNATIONAL STANDARD. Information technology JPEG 2000 image coding system: Motion JPEG 2000

This document is a preview generated by EVS

PHABRIX. Dolby Test & Measurement Application Notes. broadcast excellence. Overview. Dolby Metadata Detection. Dolby Metadata Analysis

STUDY AND IMPLEMENTATION OF VIDEO COMPRESSION STANDARDS (H.264/AVC, DIRAC)

THE H.264 ADVANCED VIDEO COMPRESSION STANDARD

Department of Electrical Engineering

Objective: Introduction: To: Dr. K. R. Rao. From: Kaustubh V. Dhonsale (UTA id: ) Date: 04/24/2012

Dolby Vision. Profiles and levels V1.2.9

Adaptive Up-Sampling Method Using DCT for Spatial Scalability of Scalable Video Coding IlHong Shin and Hyun Wook Park, Senior Member, IEEE

Quality versus Intelligibility: Evaluating the Coding Trade-offs for American Sign Language Video

Coding of 3D Videos based on Visual Discomfort

Image and Video Coding I: Fundamentals

Intra-Mode Indexed Nonuniform Quantization Parameter Matrices in AVC/H.264

ERROR-ROBUST INTER/INTRA MACROBLOCK MODE SELECTION USING ISOLATED REGIONS

EE 5359 H.264 to VC 1 Transcoding

Recent Developments in Video Compression Standardization CVPR CLIC Workshop, Salt Lake City,

JPEG 2000 vs. JPEG in MPEG Encoding

High Efficiency Video Decoding on Multicore Processor

Block-based Watermarking Using Random Position Key

ISO/IEC INTERNATIONAL STANDARD

Encoding Video for the Highest Quality and Performance

1924 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 21, NO. 12, DECEMBER 2011

Bit-Depth Scalable Coding Using a Perfect Picture and Adaptive Neighboring Filter *

ISO/IEC Information technology Coding of audio-visual objects Part 15: Advanced Video Coding (AVC) file format

Smoooth Streaming over wireless Networks Sreya Chakraborty Final Report EE-5359 under the guidance of Dr. K.R.Rao

ISO/IEC INTERNATIONAL STANDARD. Information technology JPEG 2000 image coding system Part 3: Motion JPEG 2000

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

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

Apple ProRes. White Paper April 2018

Fast Intra Prediction Algorithm for H.264/AVC Based on Quadratic and Gradient Model

R 118 TIERING OF CAMERAS FOR USE IN TELEVISION PRODUCTION

Transcription:

Rec. ITU-R BT.1687-1 1 RECOMMENDATION ITU-R BT.1687-1 Video bit-rate reduction for real-time distribution* of large-screen digital imagery applications for presentation in a theatrical environment (Question ITU-R 15/6) (2004-2006) Scope This Recommendation covers video bit-rate reduction for real-time distribution of large-screen digital imagery applications for presentation in a theatrical environment and include examples of bit rates for MPEG-2 and MPEG-4/AVC compressed signals used in LSDI applications. Baseband LSDI digital image systems are defined in Recommendation ITU-R BT.1680. The ITU Radiocommunication Assembly, considering a) that it is desirable that large-screen digital imagery (LSDI) programme distribution and presentation should preserve the creative intent and the picture quality available on the distribution master 1, as far as the envisaged programme presentation conditions allow; b) that Recommendation ITU-R BT.1680 recommends digital image systems that meet the requirements of LSDI applications for presentation in a theatrical environment and should be used for distribution of those applications; c) that, in the distribution of LSDI applications, it is necessary to apply bit-rate reduction to programme signals, in order to conserve bit rate and thus reduce transmission time and cost, without however adversely affecting programme quality as perceived by the viewer; d) that the human visual system has a much higher resolution for luminance details than for colour details; e) that the ISO/IEC JTC 1/SC 29/WG 11 has performed and documented extensive studies on the bit rate required to provide virtually transparent video compression 2 with various compression algorithms and various image systems 3 ; * ITU defines distribution as follows: To carry television programmes when no further post-production processing is expected. 1 The term distribution master is used here to denote the programme master that is obtained from the original finished master after it has been tailored (in content and in quality) to the distribution medium. 2 ITU defines transparent bit-rate reduction as A BRR process that does not affect the subjective quality of sound or picture sequences. 3 See for instance Document ISO/IEC JTC 1/SC 29/WG 11 MPEG2003/N6231, December 2003, Waikoloa Report of The Formal Verification Tests on AVC (ISO/IEC 14496-10 ITU-T Rec. H.264).

2 Rec. ITU-R BT.1687-1 f) that those tests have confirmed that MPEG-2 encoding at MP@HL with an optimized encoder 4 at 20 Mbit/s is virtually transparent to source quality for the image systems indicated in Recommendation ITU-R BT.1680 at a picture rate of 25 or 30 Hz, progressive or interlaced; g) that MPEG-2 video compression is widely available and used today, and it complies with the ITU patent policy; h) that quite recently, a new video compression system derived from MPEG-2 and called MPEG-4/AVC (ITU-T Recommendation H.264) was developed and, even in initial implementations of its codecs, it provides a compression efficiency about double that of MPEG-2; j) that very recently some extensions of the original MPEG-4/AVC source-coding system, known as the Fidelity Range Extensions (FRExt), were developed, which can provide an even higher coding efficiency, supporting the coding of the 1080/1920p image system at 50 and 60 frames/s; k) that the use of the MPEG-4/AVC source-coding system may prove to be an attractive option for LSDI applications, in view of the much lower net bit rate required to deliver LSDI programmes, although MPEG-4/AVC codecs are more complex and they can thus be expected to be somewhat more expensive; l) that MPEG-4/AVC offers great flexibility in the selection of image coding parameters such as 4:4:4 sampling, 10 or 12 bits/sample and frame rates beyond 72 Hz; m) that several countries are currently implementing services for the presentation of LSDI programmes in a theatrical environment or plan to implement them in the near future, recommends 1 that early implementations of LSDI applications intended for presentation in a theatrical environment should use a digital baseband video signal that conforms to Recommendation ITU-R BT.1680 at the input and output interfaces of the LSDI distribution chain; 2 that, in view of the higher resolution of the human visual system to luminance than to colour details, 4:2:0 video encoding or preferably 4:2:2 video encoding should be used for the distribution of LSDI programmes for their theatrical presentation; 3 that, since the LSDI programme signal will not normally undergo further creative image post-processing after its distribution, the use of interframe bit-rate reduction should be preferred for the distribution of LSDI programmes for their theatrical presentation, since it provides a higher compression efficiency than intraframe coding; it is recognized that, when local programme insertion (EDL or play list) is required, intraframe coding is preferable, and that in this case the minimum video bit-rate value may be higher; 4 that since the bit-rate reduction used in the distribution channel should be virtually transparent to the quality on the distribution master under the envisaged presentation conditions, the MPEG-2 interframe bit-rate reduction method at MP@HL (HiQ) and at a minimum video net bit rate of the order of 20 Mbit/s should be considered in the short term, for real-time distribution of LSDI programmes for their theatrical presentation (the use of encoding at 4:2:2 @ HL will require a slightly higher bit rate); 4 The term optimized encoder is used here to denote an MPEG-2-compliant encoder implemented in hardware and incorporating advanced solutions, that is optimized with respect to the MPEG-2 TM5 reference model encoder, which is implemented in software and was adopted by the ISO/IEC JTC 1/SC 29/WG 11 as a performance benchmark.

Rec. ITU-R BT.1687-1 3 5 that the use of the MPEG-4/AVC bit-rate reduction method should also be considered as a valuable alternative, particularly when it is desired to use a much lower net bit rate for the delivery of LSDI programmes, and it is acceptable to use somewhat more complex codecs; NOTE 1 ITU-T Recommendation H.264 is available in electronic version at the following address: http://www.itu.int/md/r03-sg06-c-0211/en. 6 that the possibility should be analysed, in due time, to use even more efficient compression codecs that may emerge in the future, when they will comply with the ITU patent policy and will be thoroughly tested, widely available and preferably interoperable with MPEG-2 and MPEG-4/AVC codecs. Appendix 1 (Informative) Example parameters and minimal tools to source-code various members of the LSDI family of image systems in Recommendation ITU-R BT.709 using MPEG-4/AVC (ITU-T Recommendation H.264) This Appendix suggests examples of parameters and minimal tools of the MPEG-4/AVC sourcecoding method (ITU-T Recommendation H.264), that would be used to compress various members of the LSDI family of image systems specified in Recommendation ITU-R BT.709-5 (Part 2). It also provides an indication of the bit rates required for the virtually transparent transport of those signals when so source-coded. Rec. ITU-R BT.709 family member MPEG-4/AVC parameters and minimal tools 1 920 1080 24/25p Level 4 Coding tools High 10 Main profile tools 4:2:0 chroma format 8-bit sample bit depth 8 8 vs. 4 4 transform adaptivity Quantization scaling matrices Separate C B and C R QP control Monochrome video format 9- and 10-bit sample bit depth 4:2:2 chroma format 11- and 12-bit sample bit depth 4:4:4 chroma format Residual colour transform Predictive lossless coding Bit rate for virtually transparent transport 9-11 Mbit/s Contribution quality 7-10 Mbit/s Distribution quality

4 Rec. ITU-R BT.1687-1 Rec. ITU-R BT.709 family member MPEG-4/AVC parameters and minimal tools 1 920 1080 60/50i Level 4 Coding tools High 4:2:2 Main profile tools 4:2:0 chroma format 8-bit sample bit depth 8 8 vs. 4 4 transform adaptivity Quantization scaling matrices Separate C B and C R QP control Monochrome video format 9- and 10-bit sample bit depth 4:2:2 chroma format 11- and 12-bit sample bit depth 4:4:4 chroma format Residual colour transform Predictive lossless coding 1 920 1080 60/50p Level 4.2 Coding tools High 4:2:2 Main profile tools 4:2:0 chroma format 8-bit sample bit depth 8 8 vs. 4 4 transform adaptivity Quantization scaling matrices Separate C B and C R QP control Monochrome video format 9- and 10-bit sample bit depth 4:2:2 chroma format 11- and 12-bit sample bit depth 4:4:4 chroma format Residual colour transform Predictive lossless coding Bit rate for virtually transparent transport 10-15 Mbit/s Contribution quality 8-12 Mbit/s Distribution quality 18-20 Mbit/s Emission format NOTE Use of 10 bits/sample may not increase the bit rate over the one needed for 8 bits.

Rec. ITU-R BT.1687-1 5 Rec. ITU-R BT.709 family member MPEG-4/AVC parameters and minimal tools 1 920 1080 24/25p Level 4 Coding tools High 4:2:2 Main profile tools 4:2:0 chroma format 8-bit sample bit depth 8 8 vs. 4 4 transform adaptivity Quantization scaling matrices Separate C B and C R QP control Monochrome video format 9- and 10-bit sample bit depth 4:2:2 chroma format 11- and 12-bit sample bit depth 4:4:4 chroma format Residual colour transform Predictive lossless coding Bit rate for virtually transparent transport 8-10 Mbit/s Emission High quality Movies mode Attachment 1 Information on the MPEG-4/AVC source-coding method [Sullivan et al., 2004] ITU-T Recommendation H.264/MPEG-4 (Part 10) Advanced Video Coding (commonly referred as H.264/AVC) is the newest entry in the series of international video coding standards. It is currently the most powerful and state-of-the-art standard, and was developed by a Joint Video Team (JVT) consisting of experts from ITU-T s Video Coding Experts Group (VCEG) and ISO/IEC s Moving Picture Experts Group (MPEG). As it has been the case with past standards, its design provides the most current balance between coding efficiency, implementation complexity and cost-based on the current state of VLSI design technology (CPU s, DSP s, ASIC s, FPGA s, etc.). In the process, a standard was created that improved coding efficiency by a factor of about two minimum (on average) over MPEG-2 while keeping the cost within an acceptable range. In July 2004, a new amendment was added to this standard, called the Fidelity Range Extensions (FRExt, Amendment 1), which demonstrates an even higher coding efficiency against MPEG-2, potentially attaining as much as 3:1 for some key applications. While having a broad range of applications, the initial H.264/AVC standard (as it was completed in May 2003), was primarily focused on entertainment-quality video, based on 8-bits/sample, and 4:2:0 chroma sampling. Given its time constraints, it did not include support for use in the most demanding professional environments, and the design had not been focused on the highest video

6 Rec. ITU-R BT.1687-1 resolutions. For applications such as program contribution, programme distribution, and studio editing and post-processing, it may be necessary to: Use more than 8 bits per sample of source video accuracy. Use a higher resolution for colour representation than that which is typical in consumer applications (i.e. to use 4:2:2 or 4:4:4 sampling as opposed to 4:2:0 chroma sampling format). Perform source editing functions such as alpha blending (a process for blending of multiple video scenes, best known for use in weather reporting where it is used to key video of a newscaster over video of a map or weather-radar scene). Use very high bit rates. Use very high resolution. Achieve very high fidelity even representing some parts of the video losslessly. Avoid colour-space transformation rounding error. Use RGB colour representation. The FRExt project produced a suite of four new profiles collectively called the High Profiles: The High Profile (HP), supporting 8-bit video with 4:2:0 sampling, addressing high-end consumer use and other applications using high-resolution video without a need for extended chroma formats or extended sample accuracy. The High 10 Profile (Hi10P), supporting 4:2:0 video with up to 10 bits of representation accuracy per sample. The High 4:2:2 Profile (H422P), supporting up to 4:2:2 chroma sampling and up to 10 bits per sample. The High 4:4:4 Profile (H444P), supporting up to 4:4:4 chroma sampling, up to 12 bits per sample, and additionally supporting efficient lossless coding and an integer residual colour transform for coding RGB video while avoiding colour-space transformation errors. As FRExt is still rather new, and as some of the benefits of FRExt are perceptual rather than objective, it is somewhat more difficult to measure its capability. One relevant data point is the result of a subjective quality evaluation done by the Blu-ray Disc Association (BDA). The summary results are reproduced in Fig. 1 from the test report [Wedi and Kashiwagi, 2004]. This test, conducted on a 24 frame/s film programme with 1 920 1080 progressive-scanning, shows the following nominal results (which should not be considered rigorously statistically proven): The high profile of FRExt produced nominally better video quality than MPEG-2 when using only one third as many bits (8 Mbit/s versus 24 Mbit/s). The high profile of FRExt produced nominally transparent (i.e. difficult to distinguish from the original video without compression) video quality at only 16 Mbit/s. The quality bar (3.0), considered adequate for use on high-definition packaged media in this organization, was significantly surpassed using only 8 Mbit/s. Again also, there were suboptimalities in the H.264/AVC coding method used in these tests. Thus, the bit rate can likely be reduced significantly below 8 Mbit/s while remaining above the 3.0 quality bar establishing a quality sufficient to call it acceptable HD in that demanding application.

Rec. ITU-R BT.1687-1 7 FIGURE 1 Comparison of MPEG-2 to H.264 The result of an example objective (peak signal-to-noise ratio, PSNR) comparison test performed by FastVDO 5 is shown in Fig. 2. These objective results confirm the strong performance of the high profile. (Again, sub-optimal uses of B frames make the plotted performance conservative for FRExt.) FIGURE 2 PSNR comparison 5 FastVDO is a company specializing in technology for media communications and infrastructure software. It is located in Columbia, MD, USA.

8 Rec. ITU-R BT.1687-1 References SULLIVAN, G.J., TOPIWALA, P. and LUTHRA, A. [2004] The H.264/AVC Advanced Video Coding Standard: Overview and Introduction to the Fidelity Range Extensions. Presented at the SPIE Conference on Applications of Digital Image Processing VII. Special Session on Advances in the New Emerging Standard: H.264/AVC. WEDI, T. and KASHIWAGI, Y. [2004] Subjective quality evaluation of H.264/AVC FRExt for HD movie content. Joint Video Team document JVT-L033.