Multiview Video Coding Extension of the H.264/AVC Standard

Total Page:16

File Type:pdf, Size:1020Kb

Multiview Video Coding Extension of the H.264/AVC Standard Multiview Video Coding Extension of the H.264/AVC Standard Ognjen Nemþiü 1, Snježana Rimac-Drlje 2, Mario Vranješ 2 1 Supra Net Projekt d.o.o., Zagreb, Croatia, [email protected] 2 University of Osijek, Faculty of Electrical Engineering, Osijek, Croatia, [email protected] Abstract - An overview of the new Multiview Video Coding approved an amendment of the ITU-T Rec. H.264 & ISO/IEC (MVC) extension of the H.264/AVC standard is given in this 14996-10 Advanced Video Coding (AVC) standard on paper. The benefits of multiview video coding are examined by Multiview Video Coding. encoding two data sets captured with multiple cameras. These sequences were encoded using MVC reference software and the results are compared with references obtained by encoding II. MULTIVIEW VIDEO CODING multiple views independently with H.264/AVC reference MVC was designed as an amendment of the H.264/AVC software. Experimental quality comparison of coding efficiency is and uses improved coding tools which have made H.264/AVC given. The peak signal-to-noise ration (PSNR) and Structural so superior over older standards. It is based on conventional Similarity (SSIM) Index are used as objective quality metrics. block-based motion-compensated video coding, with several new features which significantly improve its rate-distortion Keywords - H.264/AVC, MVC, inter-view prediction, temporal performance. The main new features of H.264/AVC, also used prediction, video quality by MVC, are the following: • I. INTRODUCTION variable block-size motion-compensated prediction with the block size down to 4x4 pixels; The H.264/AVC is the state-of-the-art video coding standard, [1], developed jointly by the ITU-T Video Coding • quarter-pixel motion vector accuracy; Experts Group (VCEG) and the ISO/IEC Moving Pictures • Experts Group (MPEG). H.264/AVC is developed to provide multiple reference picture for motion compensation; efficient compression and high reliability in video • bi-directional predicted picture as a reference for transmission. The benefits of high compression efficiency and motion prediction; error robustness of H.264/AVC standard have already become widely accepted and used for video content storage, streaming • intra-picture prediction in the spatial domain; and transmission of real-time multimedia. Most recent • adaptive deblocking filter within the motion- development of VCEG and MPEG focuses on the multiview compensated prediction loop; video. Multiview video represents a three-dimensional (3-D) scene captured by two or more cameras at a slightly different • small block-size transformation (4x4 block transform); angle. Typical services using this type of scene capturing and • representation include entertainment (3-D cinemas and PC enhanced entropy coding methods: Context-Adaptive gaming), education, surveillance, immersive telepresence and Variable-Length Coding (CAVLC) and Context- videoconferencing, three-dimensional (3DTV) and free Adaptive Binary Arithmetic Coding (CABAC). viewpoint television (FTV). These 3-D services require new Special attention is given to the improvement of robustness types of media that expand the user experience beyond what is to data errors or losses during transmission over different offered by traditional media. 3DTV, also referred to as stereo networks. The standard defines a network abstraction layer TV, offers a 3-D depth impression of the observed scene, while (NAL), which maps H.264/AVC video coding layer (VCL) FTV allows for an interactive selection of viewpoint and data to different transport layers. The VCL creates a coded direction within a certain operating range. All of the mentioned representation of the video content, while the NAL organizes services share similar components of the processing chain these data into units, adapted for specific application and consisting of multiview video capture, 3-D scene network. MVC essentially performs block-based predictive representation, coding, transmission, rendering and display. In coding across the cameras in addition to predictive coding comparison with conventional 2-D scene, 3-D scene along the time axis of each camera, hence achieving high representation usually requires a significantly higher amount of compression efficiency. data, hence efficient compression for data storage or transmission with less degradation and delay over limited Fig. 1 shows the overall MVC system structure. In addition bandwidth represent challenging tasks. Therefore, multiview to temporal redundancies between adjacent frames of video coding (hereinafter referred to as MVC) has gained individual camera view, multiple camera signals also contain a significant attention recently. In July 2008, MPEG officially large amount of statistical dependencies. This research is supported by Supra Net Projekt d.o.o., Zagreb, Croatia 52nd International Symposium ELMAR-2010, 15-17 September 2010, Zadar, Croatia 73 These subsets are referred to as profiles. For multiview coding, Multiview High profile is defined. Multiview High profile supports two or more views using both inter-picture (temporal) and MVC inter-view prediction, but does not support field pictures and macroblock-adaptive frame-field coding. The levels in MVC impose constraints on the processing power and the memory size in order to limit maximum coded frame size, frame rate and the number of reference pictures stored for prediction purposes. In comparison with H.264/AVC, encoding multiview video sequences with large amount of frames Figure 1. Overall MVC system architecture requires a bigger Decoded Picture Buffer (DPB) size to store all reference pictures necessary for prediction. Therefore DBP The encoder receives N temporally synchronized video streams size also needs to be considered when implementing multiview and generates one output bitstream. The decoder receives the prediction structure. bitstream, decodes and outputs N video signals. MVC views are identified by arbitrary view ID numbers which do not imply III. INTER-VIEW PREDICTION STRUCTURE any order or a specific dependency between different views. Several research groups addressed MVC and developed Since MVC shares some design principles with Scalable dedicated inter-view/temporal prediction structures to Video Coding (SVC) amendment of H.264/AVC, many efficiently exploit all statistical dependencies within the features available in SVC have been reused in MVC. Similar to multiview video data set. The structure developed by SVC, the MVC amendment defines new NAL Unit Header Fraunhofer HHI for the case of 1D camera arrangement (linear Extension. While SVC allows identification of multiple layers or arc) is depicted in Fig. 2 [2]. in SVC NAL Unit Header Extension, the MVC NAL Unit Header Extension contains a View Order Index. View Order Index is the parameter that represents the relation between different views. By carefully defining the dependencies between different camera views, efficient coding efficiency can be achieved. To meet the requirements of applications envisioned for MVC (Sect. I.), scalability and adaptability, as well as random access need to be supported. For example, in 3DTV scenario advanced displays capable of displaying multiple views would be decoding more views than stereoscopic displays that display only two views. The MVC standard defines efficient ways that enable easy extraction of any subset of the views from the entire bitstream. Since applications based on two dimensional displays are still widely used, backwards compatibility has also Figure 2. Multiview video coding structure combining inter-view and been an important target for MVC. The MVC standard temporal prediction based on H.264/AVC hierarchical B pictures achieves backwards compatibility by defining the bitstream from which compliant H.264/AVC decoder can decode a single This scheme first uses inter-view prediction to provide P 2D view and discard the rest of the data, whereas a compliant pictures for even views (Camera 2, 4 and 6). The rest of the MVC decoder can decode all the views and generate the 3D pictures in even camera views are predicted with no further video. Temporal random access is provided by inserting I inter-view dependencies, i.e. by using hierarchical B pictures in picture typically every 0.5 – 1 seconds. Backward temporal direction. Hierarchical B pictures provide compatibility is also supported by the related communication significantly improved compression performance when the protocols for transport over the MPEG-2 Transport Stream and quantization parameters for the various pictures are assigned the Internet Protocol (IP), meaning that a device capable of appropriately. Odd camera views (Camera 1, 3 and 5) are receiving an H.264/AVC stream over the MPEG-2 Transport obtained by combining inter-view prediction from 2 adjacent Stream or the Real-Time Transport Protocol over IP is also even views and hierarchical B coding structure in temporal capable of receiving an MVC stream over these protocols. direction. For an even number of views, the last view Some requirements of video coding standard are often represents a specific case for prediction. Camera 7 is coded as contradictory to one other, such as providing high compression shown, starting with an inter-view predicted P picture, efficiency, but with low delay. Usually these scenarios cover followed by hierarchical B pictures, which are also inter-view real-time conversational applications, such as predicted from the previous view. Thus, the coding scheme can videoconferencing, telepresence and mobile
Recommended publications
  • LOW COMPLEXITY H.264 to VC-1 TRANSCODER by VIDHYA
    LOW COMPLEXITY H.264 TO VC-1 TRANSCODER by VIDHYA VIJAYAKUMAR Presented to the Faculty of the Graduate School of The University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE IN ELECTRICAL ENGINEERING THE UNIVERSITY OF TEXAS AT ARLINGTON AUGUST 2010 Copyright © by Vidhya Vijayakumar 2010 All Rights Reserved ACKNOWLEDGEMENTS As true as it would be with any research effort, this endeavor would not have been possible without the guidance and support of a number of people whom I stand to thank at this juncture. First and foremost, I express my sincere gratitude to my advisor and mentor, Dr. K.R. Rao, who has been the backbone of this whole exercise. I am greatly indebted for all the things that I have learnt from him, academically and otherwise. I thank Dr. Ishfaq Ahmad for being my co-advisor and mentor and for his invaluable guidance and support. I was fortunate to work with Dr. Ahmad as his research assistant on the latest trends in video compression and it has been an invaluable experience. I thank my mentor, Mr. Vishy Swaminathan, and my team members at Adobe Systems for giving me an opportunity to work in the industry and guide me during my internship. I would like to thank the other members of my advisory committee Dr. W. Alan Davis and Dr. William E Dillon for reviewing the thesis document and offering insightful comments. I express my gratitude Dr. Jonathan Bredow and the Electrical Engineering department for purchasing the software required for this thesis and giving me the chance to work on cutting edge technologies.
    [Show full text]
  • Video Coding Standards
    Module 8 Video Coding Standards Version 2 ECE IIT, Kharagpur Lesson 23 MPEG-1 standards Version 2 ECE IIT, Kharagpur Lesson objectives At the end of this lesson, the students should be able to : 1. Enlist the major video coding standards 2. State the basic objectives of MPEG-1 standard. 3. Enlist the set of constrained parameters in MPEG-1 4. Define the I- P- and B-pictures 5. Present the hierarchical data structure of MPEG-1 6. Define the macroblock modes supported by MPEG-1 23.0 Introduction In lesson 21 and lesson 22, we studied how to perform motion estimation and thereby temporally predict the video frames to exploit significant temporal redundancies present in the video sequence. The error in temporal prediction is encoded by standard transform domain techniques like the DCT, followed by quantization and entropy coding to exploit the spatial and statistical redundancies and achieve significant video compression. The video codecs therefore follow a hybrid coding structure in which DPCM is adopted in temporal domain and DCT or other transform domain techniques in spatial domain. Efforts to standardize video data exchange via storage media or via communication networks are actively in progress since early 1980s. A number of international video and audio standardization activities started within the International Telephone Consultative Committee (CCITT), followed by the International Radio Consultative Committee (CCIR), and the International Standards Organization / International Electrotechnical Commission (ISO/IEC). An experts group, known as the Motion Pictures Expects Group (MPEG) was established in 1988 in the framework of the Joint ISO/IEC Technical Committee with an objective to develop standards for coded representation of moving pictures, associated audio, and their combination for storage and retrieval of digital media.
    [Show full text]
  • Hi3716m V430 Hi3716m V430 Cable HD Chip Brief Data Sheet
    Hi3716M V430 Hi3716M V430 Cable HD Chip Brief Data Sheet Key Specifications CPU Graphics and Display Processing (Imprex 2.0 High-performance ARM Cortex-A7 processor Processing Engine) Built-in I-cache, D-cache, and L2 cache Hardware TDE Hardware Java acceleration 3-layer OSD Floating-point coprocessor Two video layers Memory Control Interfaces 16-bit and 32-bit color depth DDR3/DDR3L interface Full-hardware anti-aliasing and anti-flicker − Maximum capacity of 512 MB for an external DDR IE, NR, and CCS SDRAM or of 128 MB/256 MB for a built-in DDR DEI SDRAM Audio and Video Interfaces − 16-bit data width PAL, NTSC, and SECAM standard outputs, and forcible A SPI NOR flash/SPI NAND flash, a parallel SLC NAND standard conversion flash, or a SPI NOR flash+a parallel SLC NAND flash Aspect ratio of 4:3 or 16:9, forcible aspect ratio Video Decoding (HiVXE 2.0 Processing Engine) conversion, and free scaling H.265 Main/Main 10@Level 4.1 high-tier 1080p50(60)/1080i/720p/576p/576i/480p/480i outputs H.264 BP/MP/HP@Level 4.2; MVC HD and SD output for the same source MPEG-1 Color gamut compliant with the xvYCC (IEC 61966-2-4) MPEG-2 SP@ML and MP@HL standard MPEG-4 SP@Levels 0–3, ASP@Levels 0–5, GMC, and HDMI 1.4b with HDCP1.4 MPEG-4 short header format (H.263 baseline) Analog video interfaces AVS baseline@Level 6.0 and AVS+ − One CVBS interface VC-1 SP@ML, MP@HL, and AP@Levels 0–3 − One built-in VDAC VP6/VP8 − VBI 1-channel 1080p@60 fps decoding Audio interface − Audio-left and audio-right channels Image Decoding − S/PDIF
    [Show full text]
  • Computational Complexity Optimization on H.264 Scalable/Multiview Video Coding
    Computational Complexity Optimization on H.264 Scalable/Multiview Video Coding By Guangyao Zhang A thesis submitted in partial fulfilment for the requirements for the degree of PhD, at the University of Central Lancashire April 2014 Student Declaration Concurrent registration for two or more academic awards I declare that while registered as a candidate for the research degree, I have not been a registered candidate or enrolled student for another award of the University or other academic or professional institution. Material submitted for another award I declare that no material contained in the thesis has been used in any other submission for an academic award and is solely my own work. Collaboration This work presented in this thesis was carried out at the ADSIP (Applied Digital Signal and Image Processing) Research Centre, University of Central Lancashire. The work described in the thesis is entirely the candidate’s own work. Signature of Candidate ________________________________________ Type of Award Doctor of Philosophy School School of Computing, Engineering and Physical Sciences Abstract Abstract The H.264/MPEG-4 Advanced Video Coding (AVC) standard is a high efficiency and flexible video coding standard compared to previous standards. The high efficiency is achieved by utilizing a comprehensive full search motion estimation method. Although the H.264 standard improves the visual quality at low bitrates, it enormously increases the computational complexity. The research described in this thesis focuses on optimization of the computational complexity on H.264 scalable and multiview video coding. Nowadays, video application areas range from multimedia messaging and mobile to high definition television, and they use different type of transmission systems.
    [Show full text]
  • AVC to the Max: How to Configure Encoder
    Contents Company overview …. ………………………………………………………………… 3 Introduction…………………………………………………………………………… 4 What is AVC….………………………………………………………………………… 6 Making sense of profiles, levels, and bitrate………………………………………... 7 Group of pictures and its structure..………………………………………………… 11 Macroblocks: partitioning and prediction modes….………………………………. 14 Eliminating spatial redundancy……………………………………………………… 15 Eliminating temporal redundancy……...……………………………………………. 17 Adaptive quantization……...………………………………………………………… 24 Deblocking filtering….….…………………………………………………………….. 26 Entropy encoding…………………………………….……………………………….. 2 8 Conclusion…………………………………………………………………………….. 29 Contact details..………………………………………………………………………. 30 2 www.elecard.com Company overview Elecard company, founded in 1988, is a leading provider of software products for encoding, decoding, processing, monitoring and analysis of video and audio data in 9700 companies various formats. Elecard is a vendor of professional software products and software development kits (SDKs); products for in - depth high - quality analysis and monitoring of the media content; countries 1 50 solutions for IPTV and OTT projects, digital TV broadcasting and video streaming; transcoding servers. Elecard is based in the United States, Russia, and China with 20M users headquarters located in Tomsk, Russia. Elecard products are highly appreciated and widely used by the leaders of IT industry such as Intel, Cisco, Netflix, Huawei, Blackmagic Design, etc. For more information, please visit www.elecard.com. 3 www.elecard.com Introduction Video compression is the key step in video processing. Compression allows broadcasters and premium TV providers to deliver their content to their audience. Many video compression standards currently exist in TV broadcasting. Each standard has different properties, some of which are better suited to traditional live TV while others are more suited to video on demand (VoD). Two basic standards can be identified in the history of video compression: • MPEG-2, a legacy codec used for SD video and early digital broadcasting.
    [Show full text]
  • Video Coding Standards 1 Videovideo Codingcoding Standardsstandards
    VideoVideo CodingCoding StandardsStandards • H.120 • H.261 • MPEG-1 and MPEG-2/H.262 • H.263 • MPEG-4 Thomas Wiegand: Digital Image Communication Video Coding Standards 1 VideoVideo CodingCoding StandardsStandards MPEG-2 digital TV 2 -6 Mbps ITU-R 601 166 Mbit/s H.261 ISDN 64 kbps Picture phone H.263 PSTN < 28.8 kbps picture phone Thomas Wiegand: Digital Image Communication Video Coding Standards 2 H.120:H.120: TheThe FirstFirst DigitalDigital VideoVideo CodingCoding StandardStandard • ITU-T (ex-CCITT) Rec. H.120: The first digital video coding standard (1984) • v1 (1984) had conditional replenishment, DPCM, scalar quantization, variable-length coding, switch for quincunx sampling • v2 (1988) added motion compensation and background prediction • Operated at 1544 (NTSC) and 2048 (PAL) kbps • Few units made, essentially not in use today Thomas Wiegand: Digital Image Communication Video Coding Standards 3 H.261:H.261: TheThe BasisBasis ofof ModernModern VideoVideo CompressionCompression • ITU-T (ex-CCITT) Rec. H.261: The first widespread practical success • First design (late ’80s) embodying typical structure that dominates today: 16x16 macroblock motion compensation, 8x8 DCT, scalar quantization, and variable-length coding • Other key aspects: loop filter, integer-pel motion compensation accuracy, 2-D VLC for coefficients • Operated at 64-2048 kbps • Still in use, although mostly as a backward- compatibility feature – overtaken by H.263 Thomas Wiegand: Digital Image Communication Video Coding Standards 4 H.261&3H.261&3 MacroblockMacroblock
    [Show full text]
  • Motion Compensation on DCT Domain
    EURASIP Journal on Applied Signal Processing 2001:3, 147–162 © 2001 Hindawi Publishing Corporation Motion Compensation on DCT Domain Ut-Va Koc Lucent Technologies Bell Labs, 600 Mountain Avenue, Murray Hill, NJ 07974, USA Email: [email protected] K. J. Ray Liu Department of Electrical and Computer Engineering and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA Email: [email protected] Received 21 May 2001 and in revised form 21 September 2001 Alternative fully DCT-based video codec architectures have been proposed in the past to address the shortcomings of the conven- tional hybrid motion compensated DCT video codec structures traditionally chosen as the basis of implementation of standard- compliant codecs. However, no prior effort has been made to ensure interoperability of these two drastically different architectures so that fully DCT-based video codecs are fully compatible with the existing video coding standards. In this paper, we establish the criteria for matching conventional codecs with fully DCT-based codecs. We find that the key to this interoperability lies in the heart of the implementation of motion compensation modules performed in the spatial and transform domains at both the encoder and the decoder. Specifically,if the spatial-domain motion compensation is compatible with the transform-domain motion compensation, then the states in both the coder and the decoder will keep track of each other even after a long series of P-frames. Otherwise, the states will diverge in proportion to the number of P-frames between two I-frames. This sets an important criterion for the development of any DCT-based motion compensation schemes.
    [Show full text]
  • White Paper Version of July 2015
    White paper Digital Video File Recommendation Version of July 2015 edited by Whitepaper 1 DIGITAL VIDEO FILE RECOMMENDATIONS ............................ 4 1.1 Preamble .........................................................................................................................4 1.2 Scope ...............................................................................................................................5 1.3 File Formats ....................................................................................................................5 1.4 Codecs ............................................................................................................................5 1.4.1 Browsing .................................................................................................... 5 1.4.2 Acquisition ................................................................................................. 6 1.4.3 Programme Contribution ........................................................................... 7 1.4.4 Postproduction .......................................................................................... 7 1.4.5 Broadcast ................................................................................................... 7 1.4.6 News & Magazines & Sports ..................................................................... 8 1.4.7 High Definition ........................................................................................... 8 1.5 General Requirements ..................................................................................................9
    [Show full text]
  • Hi3796m V200 Brief Data Sheet
    Hi3796M V200 Hi3796M V200 Brief Data Sheet Key Specifications High-Performance CPU AAC-LC and HE-AAC V1/V2 decoding 64-bit quad-core high-performance ARM Cortex A53 APE, FLAC, Ogg, AMR-NB, and AMR-WB decoding Integrated multimedia acceleration engine NEON G.711 (u/a) audio decoding Hardware Java acceleration G.711 (u/a), AMR-NB, AMR-WB, and AAC-LC audio Integrated hardware floating-point coprocessor encoding Integrated L1 and L2 Cache HE-AAC transcoding DD (AC3) 3D GPU Channel Decoding and TS De-multiplexing Integrated high-performance multi-core GPU Mali 450 One embedded QAM module, supporting the ITU OpenGL ES 2.0/1.1 and OpenVG 1.1 J83-A/B/C standard Memory Control Interfaces Multi TS processing simultaneously DDR3/DDR3L/DDR4 interface, supporting maximum TS interface for Full Band Capture device 32-bit data width Various descrambling algorithms of the DVB eMMC 5.0 flash interface Security Processing SPI NOR flash interface Advanced CA SPI NAND flash interface Downloadable Conditional Access System Asynchronous/Synchronous NAND flash interface TVOS security mechanism − SLC/MLC flash memory Secure boot, secure storage, and secure upgrade − Maximum 64-bit ECC DRM and hardware watermark Video Decoding (HiVXE 2.0 Processing Engine) HDCP 2.2/1.4 protection for HDMI outputs AVS2 Main-10bit Profile, Level 8.2.60, supporting Graphics and Display Processing (Imprex 2.0 maximum 4K x 2K@60 fps 10-bit decoding Processing Engine) H.265/HEVC Main/Main 10 Profile@Level 5.1 high-tier, Dolby Vision, HDR10, HLG, and SLF
    [Show full text]
  • Video Encoding with Open Source Tools
    Video Encoding with Open Source Tools Steffen Bauer, 26/1/2010 LUG Linux User Group Frankfurt am Main Overview Basic concepts of video compression Video formats and codecs How to do it with Open Source and Linux 1. Basic concepts of video compression Characteristics of video streams Framerate Number of still pictures per unit of time of video; up to 120 frames/s for professional equipment. PAL video specifies 25 frames/s. Interlacing / Progressive Video Interlaced: Lines of one frame are drawn alternatively in two half-frames Progressive: All lines of one frame are drawn in sequence Resolution Size of a video image (measured in pixels for digital video) 768/720×576 for PAL resolution Up to 1920×1080p for HDTV resolution Aspect Ratio Dimensions of the video screen; ratio between width and height. Pixels used in digital video can have non-square aspect ratios! Usual ratios are 4:3 (traditional TV) and 16:9 (anamorphic widescreen) Why video encoding? Example: 52 seconds of DVD PAL movie (16:9, 720x576p, 25 fps, progressive scan) Compression Video codec Raw Size factor Comment 1300 single frames, MotionTarga, Raw frames 1.1 GB - uncompressed HUFFYUV 459 MB 2.2 / 55% Lossless compression MJPEG 60 MB 20 / 95% Motion JPEG; lossy; intraframe only lavc MPEG-2 24 MB 50 / 98% Standard DVD quality X.264 MPEG-4 5.3 MB 200 / 99.5% High efficient video codec AVC Basic principles of multimedia encoding Video compression Lossy compression Lossless (irreversible; (reversible; using shortcomings statistical encoding) in human perception) Intraframe encoding
    [Show full text]
  • Introduction
    CMPT 820 Multimedia Systems Introduction Ze-Nian Li Spring 2019 1 CMPT820 Multimedia Systems Why this course? Multimedia is cool Media -> Multimedia Everywhere Requires broad knowledge in mathematics, signal processing, communications, networking, software, hardware, … Job opportunities Multimedia is a booming industry • in the metro Vancouver area Tons of opportunities created by next-generation standards and emerging applications: • JPEG/JPEG 2000 • MPEG-1/2/4 H.264/265/HEVC 4K/8K TV 3D/freeview • 3G/4G/5G mobile communications • Multimedia-enabled smartphone, tablets • Social media, Cloud media, Crowd media • Online gaming 2 CMPT820 Multimedia Systems Multimedia is Multidisciplinary Computer hardware, network, operating system, database Image, audio, Multimedia Computer vision, speech computing pattern recognition, processing Machine learning Human computer Computer interaction graphics 3 CMPT820 Multimedia Systems Books and References Recommended Textbook Fundamentals of Multimedia, 2nd Edition, by Z.N. Li, M.S. Drew, and J. Liu, Springer, 2014. Reference books Video Processing and Communications, Y. Wang, J. Ostermann, Y-Q Zhang, Prentice Hall, 2002. Resource Home page • www.cs.sfu.ca/CC/820/li/ Please check it regularly 4 CMPT820 Multimedia Systems Grading Scheme Two programming assignments 2x10% Presentation and class participation 40% Term project 40% It is a Graduate seminar course ! 5 CMPT820 Multimedia Systems Topics Introduction to Image and Video Compression Wavelets and JPEG-2000 H.264/MPEG-4 AVC, H.265, and MPEG-7 Image and Video Quality Assessment Content Based Image and Video Retrieval Visual Content Analysis Digital Audio Compression 6 CMPT820 Multimedia Systems Questions? 7 CMPT820 Multimedia Systems What is Multimedia? Multimedia means that information can be represented through audio, images, graphics and animation, video, in addition to traditional media (i.e., text and graphics drawings).
    [Show full text]
  • Efficient Motion Estimation and Mode Decision Algorithms for Advanced Video Coding
    University of Windsor Scholarship at UWindsor Electronic Theses and Dissertations Theses, Dissertations, and Major Papers 2011 Efficient Motion Estimation and Mode Decision Algorithms for Advanced Video Coding Mohammed Golam Sarwer University of Windsor Follow this and additional works at: https://scholar.uwindsor.ca/etd Recommended Citation Sarwer, Mohammed Golam, "Efficient Motion Estimation and Mode Decision Algorithms for Advanced Video Coding" (2011). Electronic Theses and Dissertations. 439. https://scholar.uwindsor.ca/etd/439 This online database contains the full-text of PhD dissertations and Masters’ theses of University of Windsor students from 1954 forward. These documents are made available for personal study and research purposes only, in accordance with the Canadian Copyright Act and the Creative Commons license—CC BY-NC-ND (Attribution, Non-Commercial, No Derivative Works). Under this license, works must always be attributed to the copyright holder (original author), cannot be used for any commercial purposes, and may not be altered. Any other use would require the permission of the copyright holder. Students may inquire about withdrawing their dissertation and/or thesis from this database. For additional inquiries, please contact the repository administrator via email ([email protected]) or by telephone at 519-253-3000ext. 3208. Efficient Motion Estimation and Mode Decision Algorithms for Advanced Video Coding by Mohammed Golam Sarwer A Dissertation Submitted to the Faculty of Graduate Studies through the Department of Electrical and Computer Engineering in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy at the University of Windsor Windsor, Ontario, Canada 2011 © 2011, Mohammed Golam Sarwer All Rights Reserved. No part of this document may be reproduced, stored or otherwise retained in a retrieval system or transmitted in any form, on any medium by any means without prior written permission of the author.
    [Show full text]