Summer Internship at STMicroelectronics, Greater Noida, India
|
|
- Jasmine Nelson
- 5 years ago
- Views:
Transcription
1 Summer Internship at STMicroelectronics, Greater Noida, India Thibault Lefeuvre, Ecole Polytechnique, France August 2015 Techniques of frame compression in ultra low power encoder Introduction At first, my work has consisted in reading articles and documents on H.264 and frame compression algorithms ([Ric10], [Zhe06], [Hoi06], [Qin10]) since my knowledge of the issue was very basic. I have then studied the different metrics currently used to compare and assess the similarities between colocated macroblocks ([Zho02] [Zho04], [Chu09]) which I thought would be at the heart of the project. After discussion, I have focused myself on the Intra-only profile along with PSkip mode decision and on early-skip prediction as [Ref] puts forth. The idea was to build a mathematical background to this solution which proved efficient but lacked a theoretical background. Following [Ref], I ve tried to design an algorithm assessing the similarities between co-located macroblocks without explicitly referring to the previous frame, thus saving important DDR costs. Algorithm The algorithm can be described as follows : Frame N is transformed, using an edge detection kernel, into a black and white image where white pixels are edges or corners and black pixels form the background. The matrix obtained is a sparse one. Macroblocks of frame N are stored as follow : if the current transformed MB contains white pixels (edges or corners), then it is stored using a sparse matrix compression algorithm ; if not, the average luma of the original MB is stored. The current MB is compared to the co-located MB of frame N 1 : if both contain white pixels, a SAD between the black and white macroblocks is computed and if it is below a parameter threshold1, the current MB is skipped, otherwise MB is encoded using Intra prediction ; if they are both identified as background (only black pixels), absolute difference between average luma is computed and if it is below a parameter threshold2, current MB is skipped, otherwise MB is encoded using Intra prediction ; eventually, if one MB contains white pixels but the co-located MB doesn t, the current MB is encoded using Intra prediction. Afterwards, the algorithm jumps to frame N + 1. As far as greyscale images are concerned, instead of storing N M pixel-macroblocks, i.e. N M bytes (assessing that one pixel is encoded on one byte), the algorithm will either store a real floating number or a sparse matrix which compresses on average between 90% to 95% the macroblock. Overall, the data required to asses the similarity between the macroblocks of two consecutive frames is much reduced. 1
2 Figure 1: Algorithm flowchart Results The algorithm was implemented in MATLAB. The intra-prediction mode was not taken into account : the sequences were analyzed and the macroblocks which could be skipped were detected. The output frames are therefore made up of original macroblocks (non-skipped macroblocks) and macroblocks from the previous frame (skipped macroblocks). To illustrate the algorithm, we show the process of reconstruction of two frames taken from two different sequences : the first sequence is a hand moving on a plan, and the second sequence is the face of a man moving in the foreground. The pictures at the top are the initial pictures of the sequence (two following frames). In the middle, the images have been transformed using a canny edge detector : only the macroblocks identified as background remain in grayscale, whereas the macroblocks with edges or corners are turned into black and white. Pictures in the bottom, show the results after computation. The parameters of the algorithm have a critical influence on the output, especially the thresholds used in the canny edge detector, and the thresholds used after computing SAD. A good choice of parameters allow both an efficient compression (i.e. a lot of macroblocks are skipped) and a robust visual quality (the distortion is minimum for the human vision system). On the other hand, a bad set of parameters can either lead to an effective compression along with a poor video quality or to a deficient compression along with an acceptable video quality. We then display a sequence of six frames showing two cars moving in the foreground. The original frames are (1)-(6) and algorithm has been processed on frames (a)-(f). The frames are made of = 1024 macroblocks (blocks of pixels where one pixel is coded on one byte). The array below shows the compression efficiency of the algorithm on the data required to assess similarities between co-located macroblocks. We have made a distinction between macroblocks compressed as backgrounds and macroblocks compressed as edges since the storage process is different. For a MB stored as background, 4 bytes are required instead of 256 (16 16) and for a MB stored as edges, the use of a sparse matrix compression algorithm can empirically save up to 95-99% of memory but we will consider 90% in order to give a lower bound estimation so that a MB compressed 2
3 in this way will be considered to be stored on 26 bytes. The percentage of compression is calculated as the total bytes required divided by the total bytes encoding the frame. Frame Macroblocks identified as edges Macroblocks identified as background Total bytes required Percentage of compression 96.93% 96.88% 96.69% 96.59% 96.59% 96.61% Artifacts and improvement Tests still need to be carried out with a larger database in order to assess the validity of the algorithm. Overall, simple shapes (faces, hands, cars,...) prove to be better processed by the algorithm than detailed areas (landscapes). Artifacts appear in regions where the edge detection algorithm fails to underline the structure of the image, either because it is too noisy, or because the parameters were not well chosen, or because of a lack of contrast. To solve this problem, the solution may be to identify another kernel which would be efficient in processing these specific areas. References [Chu09] Chun-Ling Yang, Rong-Kun Leung1, Lai-Man Po, Zhi-Yi Mai. An SSIM-Optimal H.264/AVC Inter Frame Encoder. IEEE, [Hoi06] Hoi-Ming Wong, Oscar C. Au, Andy Chang, Shu-Kei Yip, Chi-Wang Ho. Fast Mode Decision and Motion Estimation for H.264 (FMDME). IEEE, [Qin10] Qin Liu, Takeshi Ikenaga. Rate-Distortion Optimization Based Skip Mode Early Detection in H.264. International Symposium on Intelligent Signal Processing and Communication Systems, December [Ref] A Novel PSkip determination Algorithm for WiGig encoder. [Ric10] Iain E. Richardson. The H.264 Advanced Video Compression Standard, Second Edition. Wiley, [Zhe06] Zhenyu Wei, King Ngi Ngan. A Fast Macroblock Mode Decision Algorithm for H.264. IEEE, [Zho02] Zhou Wang, Alan C. Bovik. A Universal Image Quality Index. IEEE Signal Processign Letters, Vol. 9, No. 3, March [Zho04] Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, Eero P. Simoncelli. Image Quality Assessment: From Error Visibility to Structural Similarity. IEEE Transactions on Image Processing, Vol. 13, No. 4, April
4 Figure 2: (a) First original frame, (b) Second original frame, (c) First frame processed, (d) Second frame processed, (e) Second frame where : black MBs are identified as background and skipped, white MBs are identified as edges or corners and skipped, grayscale MBs are not skipped (encoded with intra mode), (f) Second frame reconstructed : black and white MBs in (e) (skipped MBs) have been replaced with MBs from the first frame. The parameters used with the algorithm are : N = 15, σ = 1, threshold1 = 6, threshold2 = 6, threshbw = 7, threshcol = 10. 4
5 Figure 3: (a) First original frame, (b) Second original frame, (c) First frame processed, (d) Second frame processed, (e) Second frame where : black MBs are identified as background and skipped, white MBs are identified as edges or corners and skipped, grayscale MBs are not skipped (encoded with intra mode), (f) Second frame reconstructed : black and white MBs in (e) (skipped MBs) have been replaced with MBs from the first frame. The parameters used with the algorithm are : N = 15, σ = 1, threshold1 = 12, threshold2 = 8, threshbw = 50, threshcol = 10. 5
6 Figure 4: Frames (1)-(6) are original and algorithm was processed on frames (a)-(f). The parameters used with the algorithm are : N = 15, σ = 1, threshold1 = 15, threshold2 = 8, threshbw = 40, threshcol = 10. 6
Structural Similarity Based Image Quality Assessment Using Full Reference Method
From the SelectedWorks of Innovative Research Publications IRP India Spring April 1, 2015 Structural Similarity Based Image Quality Assessment Using Full Reference Method Innovative Research Publications,
More informationOptimizing the Deblocking Algorithm for. H.264 Decoder Implementation
Optimizing the Deblocking Algorithm for H.264 Decoder Implementation Ken Kin-Hung Lam Abstract In the emerging H.264 video coding standard, a deblocking/loop filter is required for improving the visual
More informationCS 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 informationFAST ALGORITHM FOR H.264/AVC INTRA PREDICTION BASED ON DISCRETE WAVELET TRANSFORM
FAST ALGORITHM FOR H.264/AVC INTRA PREDICTION BASED ON DISCRETE WAVELET TRANSFORM Damián Ruíz, Oscar Patiño, David Jiménez, José Manuel Menéndez Grupo de Aplicación de Telecomunicaciones Visuales Universidad
More informationSSIM Image Quality Metric for Denoised Images
SSIM Image Quality Metric for Denoised Images PETER NDAJAH, HISAKAZU KIKUCHI, MASAHIRO YUKAWA, HIDENORI WATANABE and SHOGO MURAMATSU Department of Electrical and Electronics Engineering, Niigata University,
More informationFast Decision of Block size, Prediction Mode and Intra Block for H.264 Intra Prediction EE Gaurav Hansda
Fast Decision of Block size, Prediction Mode and Intra Block for H.264 Intra Prediction EE 5359 Gaurav Hansda 1000721849 gaurav.hansda@mavs.uta.edu Outline Introduction to H.264 Current algorithms for
More informationImage Quality Assessment Techniques: An Overview
Image Quality Assessment Techniques: An Overview Shruti Sonawane A. M. Deshpande Department of E&TC Department of E&TC TSSM s BSCOER, Pune, TSSM s BSCOER, Pune, Pune University, Maharashtra, India Pune
More informationCalibrated Image Acquisition for Multi-view 3D Reconstruction
Calibrated Image Acquisition for Multi-view 3D Reconstruction Sriram Kashyap M S Guide: Prof. Sharat Chandran Indian Institute of Technology, Bombay April 2009 Sriram Kashyap 3D Reconstruction 1/ 42 Motivation
More informationImplementation and analysis of Directional DCT in H.264
Implementation and analysis of Directional DCT in H.264 EE 5359 Multimedia Processing Guidance: Dr K R Rao Priyadarshini Anjanappa UTA ID: 1000730236 priyadarshini.anjanappa@mavs.uta.edu Introduction A
More informationLecture 7, Video Coding, Motion Compensation Accuracy
Lecture 7, Video Coding, Motion Compensation Accuracy Last time we saw several methods to obtain a good motion estimation, with reduced complexity (efficient search), and with the possibility of sub-pixel
More informationComplexity Reduced Mode Selection of H.264/AVC Intra Coding
Complexity Reduced Mode Selection of H.264/AVC Intra Coding Mohammed Golam Sarwer 1,2, Lai-Man Po 1, Jonathan Wu 2 1 Department of Electronic Engineering City University of Hong Kong Kowloon, Hong Kong
More informationVideo Quality Analysis for H.264 Based on Human Visual System
IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021 ISSN (p): 2278-8719 Vol. 04 Issue 08 (August. 2014) V4 PP 01-07 www.iosrjen.org Subrahmanyam.Ch 1 Dr.D.Venkata Rao 2 Dr.N.Usha Rani 3 1 (Research
More informationEE 5359 MULTIMEDIA PROCESSING SPRING Final Report IMPLEMENTATION AND ANALYSIS OF DIRECTIONAL DISCRETE COSINE TRANSFORM IN H.
EE 5359 MULTIMEDIA PROCESSING SPRING 2011 Final Report IMPLEMENTATION AND ANALYSIS OF DIRECTIONAL DISCRETE COSINE TRANSFORM IN H.264 Under guidance of DR K R RAO DEPARTMENT OF ELECTRICAL ENGINEERING UNIVERSITY
More informationAdvanced 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 informationResearch of Traffic Flow Based on SVM Method. Deng-hong YIN, Jian WANG and Bo LI *
2017 2nd International onference on Artificial Intelligence: Techniques and Applications (AITA 2017) ISBN: 978-1-60595-491-2 Research of Traffic Flow Based on SVM Method Deng-hong YIN, Jian WANG and Bo
More informationIntroduction to Video Encoding
Introduction to Video Encoding Preben N. Olsen University of Oslo and Simula Research Laboratory preben@simula.no August 26, 2013 1 / 37 Agenda 1 Introduction Repetition History Quality Assessment Containers
More informationA Novel Approach for Deblocking JPEG Images
A Novel Approach for Deblocking JPEG Images Multidimensional DSP Final Report Eric Heinen 5/9/08 Abstract This paper presents a novel approach for deblocking JPEG images. First, original-image pixels are
More informationA Novel Partial Prediction Algorithm for Fast 4x4 Intra Prediction Mode Decision in H.264/AVC
Data Compression Conference A Novel Partial Prediction Algorithm for Fast 4x4 Intra Prediction Mode Decision in H.264/AVC Y N Sairam 1, Nan Ma 1, Neelu Sinha 12 1 ATC Labs, NJ, USA 2 Dept. of Computer
More informationEFFICIENT DEISGN OF LOW AREA BASED H.264 COMPRESSOR AND DECOMPRESSOR WITH H.264 INTEGER TRANSFORM
EFFICIENT DEISGN OF LOW AREA BASED H.264 COMPRESSOR AND DECOMPRESSOR WITH H.264 INTEGER TRANSFORM 1 KALIKI SRI HARSHA REDDY, 2 R.SARAVANAN 1 M.Tech VLSI Design, SASTRA University, Thanjavur, Tamilnadu,
More informationH.264/AVC Video Watermarking Algorithm Against Recoding
Sensors & Transducers 2014 by IFSA Publishing, S. L. http://www.sensorsportal.com H.264/AVC Video Watermarking Algorithm Against Recoding Rangding Wang, Qian Li, Lujian Hu, Dawen Xu College of Information
More informationA NOVEL SECURED BOOLEAN BASED SECRET IMAGE SHARING SCHEME
VOL 13, NO 13, JULY 2018 ISSN 1819-6608 2006-2018 Asian Research Publishing Network (ARPN) All rights reserved wwwarpnjournalscom A NOVEL SECURED BOOLEAN BASED SECRET IMAGE SHARING SCHEME Javvaji V K Ratnam
More informationVHDL Implementation of H.264 Video Coding Standard
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol. 1, No. 3, November 2012, pp. 95~102 ISSN: 2089-4864 95 VHDL Implementation of H.264 Video Coding Standard Jignesh Patel*, Haresh
More informationPERFORMANCE ANALYSIS OF AVS-M AND ITS APPLICATION IN MOBILE ENVIRONMENT
PERFORMANCE ANALYSIS OF AVS-M AND ITS APPLICATION IN MOBILE ENVIRONMENT Under the guidance of Dr. K R. Rao FINAL REPORT By Vidur Vajani (1000679332) vidur.vajani@mavs.uta.edu Introduction AVS stands for
More informationOpen Access Research on No-reference Video Quality Assessment Based on H.264/AVC Bitstream
Send Orders for Reprints to reprints@benthamscience.ae 444 The Open Automation and Control Systems Journal, 204, 6, 444-450 Open Access Research on No-reference Video Quality Assessment Based on H.264/AVC
More informationNo-Reference Image Based On Fuzzy Classification for Quality Assessment
No-Reference Image Based On Fuzzy Classification for Quality Assessment Percy Irine Biju P Department of Electrical and Electronics Engineering Anna University Regional Campus, Tirunelveli, Tamilnadu,
More informationThe Application of Image Processing to Solve Occlusion Issue in Object Tracking
The Application of Image Processing to Solve Occlusion Issue in Object Tracking Yun Zhe Cheong 1 and Wei Jen Chew 1* 1 School of Engineering, Taylor s University, 47500 Subang Jaya, Selangor, Malaysia.
More informationNetwork-based model for video packet importance considering both compression artifacts and packet losses
Network-based model for video packet importance considering both compression artifacts and packet losses Yuxia Wang Communication University of China Beijing, China, 124 Email: yuxiaw@cuc.edu.cn Ting-Lan
More information[30] Dong J., Lou j. and Yu L. (2003), Improved entropy coding method, Doc. AVS Working Group (M1214), Beijing, Chaina. CHAPTER 4
[30] Dong J., Lou j. and Yu L. (3), Improved entropy coding method, Doc. AVS Working Group (M1214), Beijing, Chaina. CHAPTER 4 Algorithm for Implementation of nine Intra Prediction Modes in MATLAB and
More informationData Hiding in Binary Text Documents 1. Q. Mei, E. K. Wong, and N. Memon
Data Hiding in Binary Text Documents 1 Q. Mei, E. K. Wong, and N. Memon Department of Computer and Information Science Polytechnic University 5 Metrotech Center, Brooklyn, NY 11201 ABSTRACT With the proliferation
More informationBANDWIDTH REDUCTION SCHEMES FOR MPEG-2 TO H.264 TRANSCODER DESIGN
BANDWIDTH REDUCTION SCHEMES FOR MPEG- TO H. TRANSCODER DESIGN Xianghui Wei, Wenqi You, Guifen Tian, Yan Zhuang, Takeshi Ikenaga, Satoshi Goto Graduate School of Information, Production and Systems, Waseda
More informationCompressive Sensing for Multimedia. Communications in Wireless Sensor Networks
Compressive Sensing for Multimedia 1 Communications in Wireless Sensor Networks Wael Barakat & Rabih Saliba MDDSP Project Final Report Prof. Brian L. Evans May 9, 2008 Abstract Compressive Sensing is an
More information2014 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 informationIBM Research Report. Inter Mode Selection for H.264/AVC Using Time-Efficient Learning-Theoretic Algorithms
RC24748 (W0902-063) February 12, 2009 Electrical Engineering IBM Research Report Inter Mode Selection for H.264/AVC Using Time-Efficient Learning-Theoretic Algorithms Yuri Vatis Institut für Informationsverarbeitung
More informationResearch Article Block-Matching Translational and Rotational Motion Compensated Prediction Using Interpolated Reference Frame
Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010, Article ID 385631, 9 pages doi:10.1155/2010/385631 Research Article Block-Matching Translational and Rotational
More information(Refer Slide Time 00:17) Welcome to the course on Digital Image Processing. (Refer Slide Time 00:22)
Digital Image Processing Prof. P. K. Biswas Department of Electronics and Electrical Communications Engineering Indian Institute of Technology, Kharagpur Module Number 01 Lecture Number 02 Application
More informationDiscovering Visual Hierarchy through Unsupervised Learning Haider Razvi
Discovering Visual Hierarchy through Unsupervised Learning Haider Razvi hrazvi@stanford.edu 1 Introduction: We present a method for discovering visual hierarchy in a set of images. Automatically grouping
More informationA New Fast Motion Estimation Algorithm. - Literature Survey. Instructor: Brian L. Evans. Authors: Yue Chen, Yu Wang, Ying Lu.
A New Fast Motion Estimation Algorithm - Literature Survey Instructor: Brian L. Evans Authors: Yue Chen, Yu Wang, Ying Lu Date: 10/19/1998 A New Fast Motion Estimation Algorithm 1. Abstract Video compression
More informationImage Restoration and Background Separation Using Sparse Representation Framework
Image Restoration and Background Separation Using Sparse Representation Framework Liu, Shikun Abstract In this paper, we introduce patch-based PCA denoising and k-svd dictionary learning method for the
More informationDTC-350. VISUALmpeg PRO MPEG Analyser Software.
VISUALmpeg PRO MPEG Analyser Software 1. Introduction VISUALmpeg PRO is a powerful tool set intended for detailed off-line analysis of Video Elementary Streams in MPEG-1 or MPEG-2 video format. The analysis
More informationDetection of Edges Using Mathematical Morphological Operators
OPEN TRANSACTIONS ON INFORMATION PROCESSING Volume 1, Number 1, MAY 2014 OPEN TRANSACTIONS ON INFORMATION PROCESSING Detection of Edges Using Mathematical Morphological Operators Suman Rani*, Deepti Bansal,
More informationSTUDY AND IMPLEMENTATION OF VIDEO COMPRESSION STANDARDS (H.264/AVC, DIRAC)
STUDY AND IMPLEMENTATION OF VIDEO COMPRESSION STANDARDS (H.264/AVC, DIRAC) EE 5359-Multimedia Processing Spring 2012 Dr. K.R Rao By: Sumedha Phatak(1000731131) OBJECTIVE A study, implementation and comparison
More informationA COMPARATIVE STUDY OF QUALITY AND CONTENT-BASED SPATIAL POOLING STRATEGIES IN IMAGE QUALITY ASSESSMENT. Dogancan Temel and Ghassan AlRegib
A COMPARATIVE STUDY OF QUALITY AND CONTENT-BASED SPATIAL POOLING STRATEGIES IN IMAGE QUALITY ASSESSMENT Dogancan Temel and Ghassan AlRegib Center for Signal and Information Processing (CSIP) School of
More informationAn Efficient Intra Prediction Algorithm for H.264/AVC High Profile
An Efficient Intra Prediction Algorithm for H.264/AVC High Profile Bo Shen 1 Kuo-Hsiang Cheng 2 Yun Liu 1 Ying-Hong Wang 2* 1 School of Electronic and Information Engineering, Beijing Jiaotong University
More informationIMPLEMENTATION OF H.264 DECODER ON SANDBLASTER DSP Vaidyanathan Ramadurai, Sanjay Jinturkar, Mayan Moudgill, John Glossner
IMPLEMENTATION OF H.264 DECODER ON SANDBLASTER DSP Vaidyanathan Ramadurai, Sanjay Jinturkar, Mayan Moudgill, John Glossner Sandbridge Technologies, 1 North Lexington Avenue, White Plains, NY 10601 sjinturkar@sandbridgetech.com
More informationA Robust Digital Watermarking Scheme using BTC-PF in Wavelet Domain
A Robust Digital Watermarking Scheme using BTC-PF in Wavelet Domain Chinmay Maiti a *, Bibhas Chandra Dhara b a Department of Computer Science & Engineering, College of Engineering & Management, Kolaghat,
More informationSemi-Hierarchical Based Motion Estimation Algorithm for the Dirac Video Encoder
Semi-Hierarchical Based Motion Estimation Algorithm for the Dirac Video Encoder M. TUN, K. K. LOO, J. COSMAS School of Engineering and Design Brunel University Kingston Lane, Uxbridge, UB8 3PH UNITED KINGDOM
More informationTHE H.264 ADVANCED VIDEO COMPRESSION STANDARD
THE H.264 ADVANCED VIDEO COMPRESSION STANDARD Second Edition Iain E. Richardson Vcodex Limited, UK WILEY A John Wiley and Sons, Ltd., Publication About the Author Preface Glossary List of Figures List
More informationFast Implementation of VC-1 with Modified Motion Estimation and Adaptive Block Transform
Circuits and Systems, 2010, 1, 12-17 doi:10.4236/cs.2010.11003 Published Online July 2010 (http://www.scirp.org/journal/cs) Fast Implementation of VC-1 with Modified Motion Estimation and Adaptive Block
More informationA Sum Square Error based Successive Elimination Algorithm for Block Motion Estimation
A Sum Square Error based Successive Elimination Algorithm for Block Motion Estimation J.J. Francis and G. de Jager Department of Electrical Engineering, University of Cape Town Rondebosch, 7700, South
More informationImage and Video Quality Assessment Using Neural Network and SVM
TSINGHUA SCIENCE AND TECHNOLOGY ISSN 1007-0214 18/19 pp112-116 Volume 13, Number 1, February 2008 Image and Video Quality Assessment Using Neural Network and SVM DING Wenrui (), TONG Yubing (), ZHANG Qishan
More informationWhite paper: Video Coding A Timeline
White paper: Video Coding A Timeline Abharana Bhat and Iain Richardson June 2014 Iain Richardson / Vcodex.com 2007-2014 About Vcodex Vcodex are world experts in video compression. We provide essential
More informationLIST OF TABLES. Table 5.1 Specification of mapping of idx to cij for zig-zag scan 46. Table 5.2 Macroblock types 46
LIST OF TABLES TABLE Table 5.1 Specification of mapping of idx to cij for zig-zag scan 46 Table 5.2 Macroblock types 46 Table 5.3 Inverse Scaling Matrix values 48 Table 5.4 Specification of QPC as function
More informationIMPLEMENTATION OF DEBLOCKING FILTER ALGORITHM USING RECONFIGURABLE ARCHITECTURE
IMPLEMENTATION OF DEBLOCKING FILTER ALGORITHM USING RECONFIGURABLE ARCHITECTURE 1 C.Karthikeyan and 2 Dr. Rangachar 1 Assistant Professor, Department of ECE, MNM Jain Engineering College, Chennai, Part
More informationFast Motion Estimation for Shape Coding in MPEG-4
358 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 13, NO. 4, APRIL 2003 Fast Motion Estimation for Shape Coding in MPEG-4 Donghoon Yu, Sung Kyu Jang, and Jong Beom Ra Abstract Effective
More informationMotion Detection Algorithm
Volume 1, No. 12, February 2013 ISSN 2278-1080 The International Journal of Computer Science & Applications (TIJCSA) RESEARCH PAPER Available Online at http://www.journalofcomputerscience.com/ Motion Detection
More informationA Novel Deblocking Filter Algorithm In H.264 for Real Time Implementation
2009 Third International Conference on Multimedia and Ubiquitous Engineering A Novel Deblocking Filter Algorithm In H.264 for Real Time Implementation Yuan Li, Ning Han, Chen Chen Department of Automation,
More informationVector Bank Based Multimedia Codec System-on-a-Chip (SoC) Design
2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks Vector Bank Based Multimedia Codec System-on-a-Chip (SoC) Design Ruei-Xi Chen, Wei Zhao, Jeffrey Fan andasaddavari Computer
More informationA Kind of Fast Image Edge Detection Algorithm Based on Dynamic Threshold Value
Sensors & Transducers 13 by IFSA http://www.sensorsportal.com A Kind of Fast Image Edge Detection Algorithm Based on Dynamic Threshold Value Jiaiao He, Liya Hou, Weiyi Zhang School of Mechanical Engineering,
More informationImage Compression With Haar Discrete Wavelet Transform
Image Compression With Haar Discrete Wavelet Transform Cory Cox ME 535: Computational Techniques in Mech. Eng. Figure 1 : An example of the 2D discrete wavelet transform that is used in JPEG2000. Source:
More informationReview for the Final
Review for the Final CS 635 Review (Topics Covered) Image Compression Lossless Coding Compression Huffman Interpixel RLE Lossy Quantization Discrete Cosine Transform JPEG CS 635 Review (Topics Covered)
More informationA Comparison of Still-Image Compression Standards Using Different Image Quality Metrics and Proposed Methods for Improving Lossy Image Quality
A Comparison of Still-Image Compression Standards Using Different Image Quality Metrics and Proposed Methods for Improving Lossy Image Quality Multidimensional DSP Literature Survey Eric Heinen 3/21/08
More informationAutomatic Video Caption Detection and Extraction in the DCT Compressed Domain
Automatic Video Caption Detection and Extraction in the DCT Compressed Domain Chin-Fu Tsao 1, Yu-Hao Chen 1, Jin-Hau Kuo 1, Chia-wei Lin 1, and Ja-Ling Wu 1,2 1 Communication and Multimedia Laboratory,
More informationIntroduction to Video Encoding
Introduction to Video Encoding INF5063 23. September 2011 History of MPEG Motion Picture Experts Group MPEG1 work started in 1988, published by ISO in 1993 Part 1 Systems, Part 2 Video, Part 3 Audio, Part
More informationAn Efficient Mode Selection Algorithm for H.264
An Efficient Mode Selection Algorithm for H.64 Lu Lu 1, Wenhan Wu, and Zhou Wei 3 1 South China University of Technology, Institute of Computer Science, Guangzhou 510640, China lul@scut.edu.cn South China
More informationComparative and performance analysis of HEVC and H.264 Intra frame coding and JPEG2000
Comparative and performance analysis of HEVC and H.264 Intra frame coding and JPEG2000 EE5359 Multimedia Processing Project Proposal Spring 2013 The University of Texas at Arlington Department of Electrical
More informationDATA hiding [1] and watermarking in digital images
14 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 6, NO. 1, MARCH 2011 Data Hiding in Motion Vectors of Compressed Video Based on Their Associated Prediction Error Hussein A. Aly, Member,
More informationFast Wavelet-based Macro-block Selection Algorithm for H.264 Video Codec
Proceedings of the International MultiConference of Engineers and Computer Scientists 8 Vol I IMECS 8, 19-1 March, 8, Hong Kong Fast Wavelet-based Macro-block Selection Algorithm for H.64 Video Codec Shi-Huang
More informationANALYSIS AND COMPARISON OF SYMMETRY BASED LOSSLESS AND PERCEPTUALLY LOSSLESS ALGORITHMS FOR VOLUMETRIC COMPRESSION OF MEDICAL IMAGES
JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 24/2015, ISSN 1642-6037 Bilateral symmetry, Human visual system, MRI and CT images, Just noticeable distortion, Perceptually lossless compression Chandrika
More informationimplementation using GPU architecture is implemented only from the viewpoint of frame level parallel encoding [6]. However, it is obvious that the mot
Parallel Implementation Algorithm of Motion Estimation for GPU Applications by Tian Song 1,2*, Masashi Koshino 2, Yuya Matsunohana 2 and Takashi Shimamoto 1,2 Abstract The video coding standard H.264/AVC
More informationBlind Measurement of Blocking Artifact in Images
The University of Texas at Austin Department of Electrical and Computer Engineering EE 38K: Multidimensional Digital Signal Processing Course Project Final Report Blind Measurement of Blocking Artifact
More informationZonal MPEG-2. Cheng-Hsiung Hsieh *, Chen-Wei Fu and Wei-Lung Hung
International Journal of Applied Science and Engineering 2007. 5, 2: 151-158 Zonal MPEG-2 Cheng-Hsiung Hsieh *, Chen-Wei Fu and Wei-Lung Hung Department of Computer Science and Information Engineering
More informationBiometrics Technology: Image Processing & Pattern Recognition (by Dr. Dickson Tong)
Biometrics Technology: Image Processing & Pattern Recognition (by Dr. Dickson Tong) References: [1] http://homepages.inf.ed.ac.uk/rbf/hipr2/index.htm [2] http://www.cs.wisc.edu/~dyer/cs540/notes/vision.html
More informationA SCALABLE COMPUTING AND MEMORY ARCHITECTURE FOR VARIABLE BLOCK SIZE MOTION ESTIMATION ON FIELD-PROGRAMMABLE GATE ARRAYS. Theepan Moorthy and Andy Ye
A SCALABLE COMPUTING AND MEMORY ARCHITECTURE FOR VARIABLE BLOCK SIZE MOTION ESTIMATION ON FIELD-PROGRAMMABLE GATE ARRAYS Theepan Moorthy and Andy Ye Department of Electrical and Computer Engineering Ryerson
More informationAnatomy of a Video Codec
Anatomy of a Video Codec The inner workings of Ogg Theora Dr. Timothy B. Terriberry Outline Introduction Video Structure Motion Compensation The DCT Transform Quantization and Coding The Loop Filter Conclusion
More informationAn Efficient Saliency Based Lossless Video Compression Based On Block-By-Block Basis Method
An Efficient Saliency Based Lossless Video Compression Based On Block-By-Block Basis Method Ms. P.MUTHUSELVI, M.E(CSE), V.P.M.M Engineering College for Women, Krishnankoil, Virudhungar(dt),Tamil Nadu Sukirthanagarajan@gmail.com
More informationAn Information Hiding Algorithm for HEVC Based on Angle Differences of Intra Prediction Mode
An Information Hiding Algorithm for HEVC Based on Angle Differences of Intra Prediction Mode Jia-Ji Wang1, Rang-Ding Wang1*, Da-Wen Xu1, Wei Li1 CKC Software Lab, Ningbo University, Ningbo, Zhejiang 3152,
More informationQuality Metric for Shadow Rendering
Proceedings of the Federated Conference on Computer Science DOI: 10.15439/2016F494 and Information Systems pp. 791 796 ACSIS, Vol. 8. ISSN 2300-5963 Quality Metric for Shadow Rendering Krzysztof Kluczek
More informationMIXDES Methods of 3D Images Quality Assesment
Methods of 3D Images Quality Assesment, Marek Kamiński, Robert Ritter, Rafał Kotas, Paweł Marciniak, Joanna Kupis, Przemysław Sękalski, Andrzej Napieralski LODZ UNIVERSITY OF TECHNOLOGY Faculty of Electrical,
More informationToward Optimal Pixel Decimation Patterns for Block Matching in Motion Estimation
th International Conference on Advanced Computing and Communications Toward Optimal Pixel Decimation Patterns for Block Matching in Motion Estimation Avishek Saha Department of Computer Science and Engineering,
More informationInternational Journal of Modern Engineering and Research Technology
Volume 4, Issue 3, July 2017 ISSN: 2348-8565 (Online) International Journal of Modern Engineering and Research Technology Website: http://www.ijmert.org Email: editor.ijmert@gmail.com A Novel Approach
More informationEE 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 informationEE368 Project Report CD Cover Recognition Using Modified SIFT Algorithm
EE368 Project Report CD Cover Recognition Using Modified SIFT Algorithm Group 1: Mina A. Makar Stanford University mamakar@stanford.edu Abstract In this report, we investigate the application of the Scale-Invariant
More informationLinear Hashtable Method Predicted Hexagonal Search Algorithm with Spatial Related Criterion
Linear Hashtable Method Predicted Hexagonal Search Algorithm with Spatial Related Criterion Yunsong Wu 1, Graham Megson 1, Zhengang Nie 2, and F.N. Alavi 3 1 Computer Science, Reading University, Reading,
More informationA COST-EFFICIENT RESIDUAL PREDICTION VLSI ARCHITECTURE FOR H.264/AVC SCALABLE EXTENSION
A COST-EFFICIENT RESIDUAL PREDICTION VLSI ARCHITECTURE FOR H.264/AVC SCALABLE EXTENSION Yi-Hau Chen, Tzu-Der Chuang, Chuan-Yung Tsai, Yu-Jen Chen, and Liang-Gee Chen DSP/IC Design Lab., Graduate Institute
More informationPresentation: Reviews and talks on ICME 2016
Presentation: Reviews and talks on ICME 2016 Cho-Ying Wu Disp Lab Graduate Institute of Communication Engineering National Taiwan University December 07, 2016 1 / 70 Cho-Ying Wu Disp Lab Introduction ICME
More informationVIDEO DENOISING BASED ON ADAPTIVE TEMPORAL AVERAGING
Engineering Review Vol. 32, Issue 2, 64-69, 2012. 64 VIDEO DENOISING BASED ON ADAPTIVE TEMPORAL AVERAGING David BARTOVČAK Miroslav VRANKIĆ Abstract: This paper proposes a video denoising algorithm based
More informationA Novel Field-source Reverse Transform for Image Structure Representation and Analysis
A Novel Field-source Reverse Transform for Image Structure Representation and Analysis X. D. ZHUANG 1,2 and N. E. MASTORAKIS 1,3 1. WSEAS Headquarters, Agiou Ioannou Theologou 17-23, 15773, Zografou, Athens,
More informationMULTI-SCALE STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT. (Invited Paper)
MULTI-SCALE STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT Zhou Wang 1, Eero P. Simoncelli 1 and Alan C. Bovik 2 (Invited Paper) 1 Center for Neural Sci. and Courant Inst. of Math. Sci., New York Univ.,
More informationAnalysis of Motion Estimation Algorithm in HEVC
Analysis of Motion Estimation Algorithm in HEVC Multimedia Processing EE5359 Spring 2014 Update: 2/27/2014 Advisor: Dr. K. R. Rao Department of Electrical Engineering University of Texas, Arlington Tuan
More informationMultimedia Systems Video II (Video Coding) Mahdi Amiri April 2012 Sharif University of Technology
Course Presentation Multimedia Systems Video II (Video Coding) Mahdi Amiri April 2012 Sharif University of Technology Video Coding Correlation in Video Sequence Spatial correlation Similar pixels seem
More informationLeaf vein segmentation using Odd Gabor filters and morphological operations
Leaf vein segmentation using Odd Gabor filters and morphological operations Vini Katyal 1, Aviral 2 1 Computer Science, Amity University, Noida, Uttar Pradesh, India vini_katyal@yahoo.co.in 2 Computer
More informationReduction of Blocking artifacts in Compressed Medical Images
ISSN 1746-7659, England, UK Journal of Information and Computing Science Vol. 8, No. 2, 2013, pp. 096-102 Reduction of Blocking artifacts in Compressed Medical Images Jagroop Singh 1, Sukhwinder Singh
More informationHybrid Video Compression Using Selective Keyframe Identification and Patch-Based Super-Resolution
2011 IEEE International Symposium on Multimedia Hybrid Video Compression Using Selective Keyframe Identification and Patch-Based Super-Resolution Jeffrey Glaister, Calvin Chan, Michael Frankovich, Adrian
More informationImage Classification for JPEG Compression
Image Classification for Compression Jevgenij Tichonov Vilnius University, Institute of Mathematics and Informatics Akademijos str. 4 LT-08663, Vilnius jevgenij.tichonov@gmail.com Olga Kurasova Vilnius
More informationNo Reference Medical Image Quality Measurement Based on Spread Spectrum and Discrete Wavelet Transform using ROI Processing
No Reference Medical Image Quality Measurement Based on Spread Spectrum and Discrete Wavelet Transform using ROI Processing Arash Ashtari Nakhaie, Shahriar Baradaran Shokouhi Iran University of Science
More informationImproving Latent Fingerprint Matching Performance by Orientation Field Estimation using Localized Dictionaries
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 11, November 2014,
More informationKeywords-H.264 compressed domain, video surveillance, segmentation and tracking, partial decoding
Volume 4, Issue 4, April 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Real Time Moving
More informationReducing/eliminating visual artifacts in HEVC by the deblocking filter.
1 Reducing/eliminating visual artifacts in HEVC by the deblocking filter. EE5359 Multimedia Processing Project Proposal Spring 2014 The University of Texas at Arlington Department of Electrical Engineering
More informationAn Efficient Image Sharpening Filter for Enhancing Edge Detection Techniques for 2D, High Definition and Linearly Blurred Images
International Journal of Scientific Research in Computer Science and Engineering Research Paper Vol-2, Issue-1 ISSN: 2320-7639 An Efficient Image Sharpening Filter for Enhancing Edge Detection Techniques
More informationEE 5359 Low Complexity H.264 encoder for mobile applications. Thejaswini Purushotham Student I.D.: Date: February 18,2010
EE 5359 Low Complexity H.264 encoder for mobile applications Thejaswini Purushotham Student I.D.: 1000-616 811 Date: February 18,2010 Fig 1: Basic coding structure for H.264 /AVC for a macroblock [1] .The
More information