Video Data Compression for Multimedia Computing

Video Data Compression for Multimedia Computing : Statistically Based and Biologically Inspired Techniques

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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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Product details

  • Hardback | 421 pages
  • 157.5 x 236.2 x 30.5mm | 703.08g
  • Dordrecht, Netherlands
  • English
  • 1997 ed.
  • XVII, 421 p.
  • 0792397908
  • 9780792397908

Table of contents

Preface. 1. Wavelet-Based Video Compression; Ya-Qin Zhang, S. Zafar. 2. Video Compression Using Adaptive Wavelet Packets and DPCM; Wei-Lien Hsu, H. Derin. 3. Spatial Temporal Prediction for Video Data Compression; H.H. Li, Shan Sun. 4. On Gibbs-Markov Models for Motion Computation; J. Konrad, C. Stiller. 5. The HDTV Grand Alliance System; E. Petajan. 6. Visual Motion Processing and Detection - from Biology to Modeling; R. Wang. 7. Object Tracking Using Hierarchical 2-D Mesh Modeling for Content Based Video Compression; C. Toklu, et al. 8. Separation of Moving Regions from Background in an Image Sequence Acquired with a Mobile Camera; J.M. Odobez, P. Bouthemy. 9. Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields; T. OEzcelik, A.K. Katsaggelos. 10. Gibbs Model Based 3D Motion and Structure Estimation for Object-Based Video Coding Application; A.A. Alatan, L. Onural. 11. Motion Vector Prediction Based on Frame Differences; H.H. Li, et al. Index.
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