Ebook: Video Data Compression for Multimedia Computing: Statistically Based and Biologically Inspired Techniques
- Tags: Multimedia Information Systems, Signal Image and Speech Processing, Electrical Engineering, Computer Imaging Vision Pattern Recognition and Graphics
- Series: The Springer International Series in Engineering and Computer Science 378
- Year: 1997
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
During the past few years, we have been witnessing the rapid growth of the ap plications of Interactive Digital Video, Multimedia Computing, Desktop Video Teleconferencing, Virtual Reality, and High Definition Television (HDTV). An other information revolution which is tied to Cyberspace is almost within reach. The information, data, text, graphics, video, sound, etc. , in the form of multi media, can be requested, accessed, distributed, and transmitted to potentially every household. This is changing and will continue to change the way of people doing business, functioning in the society, and entertaining. In the foreseeable future, many personalized, portable information terminals, which can be car ried while traveling, will provide the link to central computer network to allow information exchange including videos from a node to node, from a center to a node, or nodes. Facing this opportunity, the question is what are the major significant technical challenges that people have to solve to push the-state-of-the-art for the realiza tion of the above mentioned technology advancement? From our professional judgement We feel that one of the major technical challenges is in Video Data Compression. Video communications in the form of desktop teleconferencing, videophone, network video delivery on demand, even games, are going to be major media traveling in the information super highway, hopping from one node in the Cyberspace to the other.
Video Data Compression for Multimedia Computing serves as an excellent reference resource for researchers, engineers and practitioners working on video data compression for multimedia computing. By using mathematical tools such as stochastic processes analysis and multiresolution representations, and by taking inspirations from perhaps the most sophisticated vision system, the human vision system, the chapters in this book face head-on many of the challenges in this fast moving field.
In addition to serving as an invaluable reference book, Video DataCompression for Multimedia Computing may be used as a text for advanced courses covering the subject.
Video Data Compression for Multimedia Computing serves as an excellent reference resource for researchers, engineers and practitioners working on video data compression for multimedia computing. By using mathematical tools such as stochastic processes analysis and multiresolution representations, and by taking inspirations from perhaps the most sophisticated vision system, the human vision system, the chapters in this book face head-on many of the challenges in this fast moving field.
In addition to serving as an invaluable reference book, Video DataCompression for Multimedia Computing may be used as a text for advanced courses covering the subject.
Content:
Front Matter....Pages i-xvii
Wavelet-Based Video Compression....Pages 1-54
Video Compression using Adaptive Wavelet Packets and DPCM....Pages 55-93
Spatial Temporal Prediction for Video Data Compression....Pages 95-119
On Gibbs-Markov Models for Motion Computation....Pages 121-154
The HDTV Grand Alliance System....Pages 155-190
Visual Motion Processing and Detection — from Biology to Modeling....Pages 191-243
Object Tracking using Hierarchical 2-D Mesh Modeling for Content Based Video Compression....Pages 245-281
Separation of Moving Regions from Background in an Image Sequence Acquired with a Mobil Camera....Pages 283-311
Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields....Pages 313-353
Gibbs Model Based 3D Motion and Structure Estimation for Object-Based Video Coding Applications....Pages 355-393
Motion Vector Prediction Based on Frame Differences....Pages 395-418
Back Matter....Pages 419-421
Video Data Compression for Multimedia Computing serves as an excellent reference resource for researchers, engineers and practitioners working on video data compression for multimedia computing. By using mathematical tools such as stochastic processes analysis and multiresolution representations, and by taking inspirations from perhaps the most sophisticated vision system, the human vision system, the chapters in this book face head-on many of the challenges in this fast moving field.
In addition to serving as an invaluable reference book, Video DataCompression for Multimedia Computing may be used as a text for advanced courses covering the subject.
Content:
Front Matter....Pages i-xvii
Wavelet-Based Video Compression....Pages 1-54
Video Compression using Adaptive Wavelet Packets and DPCM....Pages 55-93
Spatial Temporal Prediction for Video Data Compression....Pages 95-119
On Gibbs-Markov Models for Motion Computation....Pages 121-154
The HDTV Grand Alliance System....Pages 155-190
Visual Motion Processing and Detection — from Biology to Modeling....Pages 191-243
Object Tracking using Hierarchical 2-D Mesh Modeling for Content Based Video Compression....Pages 245-281
Separation of Moving Regions from Background in an Image Sequence Acquired with a Mobil Camera....Pages 283-311
Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields....Pages 313-353
Gibbs Model Based 3D Motion and Structure Estimation for Object-Based Video Coding Applications....Pages 355-393
Motion Vector Prediction Based on Frame Differences....Pages 395-418
Back Matter....Pages 419-421
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