Video Data Compression for Multimedia Computing

Statistically Based and Biologically Inspired Techniques

By: Hua Harry Li (Editor), Shan Sun (Editor), Haluk Derin (Editor)

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Hardcover | 31 January 1997

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Hardcover
444 Pages

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24.13 x 16.51 x 2.54

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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.

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Non-Fiction Computing & I.T.Graphical & Digital Media Applications Engineering & Technology Electronics & Communications Engineering Communications Engineering & Telecommunications Television Technology Electronics Engineering Energy Technology & Engineering Electrical Engineering Computer Science Artificial Intelligence

Computer Vision

Preface
Wavelet-Based Video Compression	p. 1
Video Compression Using Adaptive Wavelet Packets and DPCM	p. 55
Spatial Temporal Prediction for Video Data Compression	p. 95
On Gibbs-Markov Models for Motion Computation	p. 121
The HDTV Grand Alliance System	p. 155
Visual Motion Processing and Detection - From Biology to Modeling	p. 191
Object Tracking Using Hierarchical 2-D Mesh Modeling for Content Based Video Compression	p. 245
Separation of Moving Regions from Background in an Image Sequence Acquired with a Mobil Camera	p. 283
Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields	p. 313
Gibbs Model Based 3D Motion and Structure Estimation for Object-Based Video Coding Applications	p. 355
Motion Vector Prediction Based on Frame Differences	p. 395
References	p. 415
Table of Contents provided by Blackwell. All Rights Reserved.

Video Data Compression for Multimedia Computing

Statistically Based and Biologically Inspired Techniques

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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