Издательство InTech, 2011, -266 pp.
Information has become one of the most valuable assets in the mode era. Recent technology has introduced the paradigm of digital information and its associated benefits and drawbacks. Within the last 5-10 years, the demand for multimedia applications has increased enormously. Like many other recent developments, the materialization of image and video encoding is due to the contribution from major areas like good network access, good amount of fast processors etc. Many standardization procedures were carried out for the development of image and video coding. The advancement of computer storage technology continues at a rapid pace as a means of reducing storage requirements of an image and video as most situation warrants. Thus, the science of digital image and video compression has emerged. For example, one of the formats defined for High Definition Television (HDTV) broadcasting is 1920 pixels horizontally by 1080 lines vertically, at 30 frames per second. If these numbers are multiplied together with 8 bits for each of the three primary colors, the total data rate required would be 1.5 GB/sec approximately. Hence compression is highly necessary. This storage capacity seems to be more impressive when it is realized that the intent is to deliver very high quality video to the end user with as few visible artifacts as possible. Current methods of video compression such as Moving Pictures Experts Group (MPEG) standard provide good performance in terms of retaining video quality while reducing the storage requirements. Even the popular standards like MPEG do have limitations. Video coding for telecommunication applications has evolved through the development of the ISO/IEC MPEG-1, MPEG-2 and ITU-T H.261, H.262 and H.263 video coding standards (and later enhancements of H.263 known as H.263+ and H.263++) and has diversified from ISDN and T1/E1 service to embrace PSTN, mobile wireless networks, and LAN/Inteet network delivery.
Scope of the book:
Many books are available for video coding fundamentals. This book is the research outcome of various Researchers and Professors who have contributed a might in this field. This book suits researchers doing their research in the area of video coding. The book revolves around three different challenges namely (i) Coding strategies (coding efficiency and computational complexity), (ii) Video compression and (iii) Error resilience. The complete efficient video system depends upon source coding, proper inter and intra frame coding, emerging newer transform, quantization techniques and proper error concealment. The book gives the solution of all the challenges and is available in different sections.
Part 1 Scalable Video Coding
Scalable Video Coding
Scalable Video Coding in Fading Hybrid Satellite-Terrestrial Networks
Part 2 Coding Strategy
Improved Intra Prediction of H.264/AVC
Efficient Scalable Video Coding Based on Matching Pursuits
Motion Estimation at the Decoder
Part 3 Video Compression and Wavelet Based Coding 93
Asymmetrical Principal Component Analysis Theory and its Applications to Facial Video Coding
Distributed Video Coding: Principles and Evaluation of Wavelet-Based Schemes
Correlation Noise Estimation in Distributed Video Coding
Non-Predictive Multistage Lattice Vector Quantization Video Coding
Error Resilience in Video Coding
Error Resilient Video Coding using Cross-Layer Optimization Approach
Part 4 An Adaptive Error Resilient Scheme for Packet-Switched H.264 Video Transmission
Hardware Implementation of Video Coder
Part 5 An FPGA Implementation of HW/SW
Codesign Architecture for H.263 Video Coding
Information has become one of the most valuable assets in the mode era. Recent technology has introduced the paradigm of digital information and its associated benefits and drawbacks. Within the last 5-10 years, the demand for multimedia applications has increased enormously. Like many other recent developments, the materialization of image and video encoding is due to the contribution from major areas like good network access, good amount of fast processors etc. Many standardization procedures were carried out for the development of image and video coding. The advancement of computer storage technology continues at a rapid pace as a means of reducing storage requirements of an image and video as most situation warrants. Thus, the science of digital image and video compression has emerged. For example, one of the formats defined for High Definition Television (HDTV) broadcasting is 1920 pixels horizontally by 1080 lines vertically, at 30 frames per second. If these numbers are multiplied together with 8 bits for each of the three primary colors, the total data rate required would be 1.5 GB/sec approximately. Hence compression is highly necessary. This storage capacity seems to be more impressive when it is realized that the intent is to deliver very high quality video to the end user with as few visible artifacts as possible. Current methods of video compression such as Moving Pictures Experts Group (MPEG) standard provide good performance in terms of retaining video quality while reducing the storage requirements. Even the popular standards like MPEG do have limitations. Video coding for telecommunication applications has evolved through the development of the ISO/IEC MPEG-1, MPEG-2 and ITU-T H.261, H.262 and H.263 video coding standards (and later enhancements of H.263 known as H.263+ and H.263++) and has diversified from ISDN and T1/E1 service to embrace PSTN, mobile wireless networks, and LAN/Inteet network delivery.
Scope of the book:
Many books are available for video coding fundamentals. This book is the research outcome of various Researchers and Professors who have contributed a might in this field. This book suits researchers doing their research in the area of video coding. The book revolves around three different challenges namely (i) Coding strategies (coding efficiency and computational complexity), (ii) Video compression and (iii) Error resilience. The complete efficient video system depends upon source coding, proper inter and intra frame coding, emerging newer transform, quantization techniques and proper error concealment. The book gives the solution of all the challenges and is available in different sections.
Part 1 Scalable Video Coding
Scalable Video Coding
Scalable Video Coding in Fading Hybrid Satellite-Terrestrial Networks
Part 2 Coding Strategy
Improved Intra Prediction of H.264/AVC
Efficient Scalable Video Coding Based on Matching Pursuits
Motion Estimation at the Decoder
Part 3 Video Compression and Wavelet Based Coding 93
Asymmetrical Principal Component Analysis Theory and its Applications to Facial Video Coding
Distributed Video Coding: Principles and Evaluation of Wavelet-Based Schemes
Correlation Noise Estimation in Distributed Video Coding
Non-Predictive Multistage Lattice Vector Quantization Video Coding
Error Resilience in Video Coding
Error Resilient Video Coding using Cross-Layer Optimization Approach
Part 4 An Adaptive Error Resilient Scheme for Packet-Switched H.264 Video Transmission
Hardware Implementation of Video Coder
Part 5 An FPGA Implementation of HW/SW
Codesign Architecture for H.263 Video Coding