Video Data Compression for Multimedia Computing

1. Front Matter

   Pages i-xvii

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2. Wavelet-Based Video Compression

   • Ya-Qin Zhang, Sohail Zafar

   Pages 1-54

3. Video Compression using Adaptive Wavelet Packets and DPCM

   • Wei-Lien Hsu, Haluk Derin

   Pages 55-93

4. Spatial Temporal Prediction for Video Data Compression

   • Hua Harry Li, Shan Sun

   Pages 95-119

5. On Gibbs-Markov Models for Motion Computation

   • J. Konrad, C. Stiller

   Pages 121-154

6. The HDTV Grand Alliance System

   • Eric Petajan

   Pages 155-190

7. Visual Motion Processing and Detection — from Biology to Modeling

   • Ruye Wang

   Pages 191-243

8. Object Tracking using Hierarchical 2-D Mesh Modeling for Content Based Video Compression

   • Candemir Toklu, A. Tanju Erdem, M. Ibrahim Sezan, A. Murat Tekalp

   Pages 245-281

9. Separation of Moving Regions from Background in an Image Sequence Acquired with a Mobil Camera

   • J. M. Odobez, P. Bouthemy

   Pages 283-311

10. Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields

    • Taner Özc̣elik, Aggelos K. Katsaggelos

    Pages 313-353

11. Gibbs Model Based 3D Motion and Structure Estimation for Object-Based Video Coding Applications

    • A. Aydin Alatan, Levent Onural

    Pages 355-393

12. Motion Vector Prediction Based on Frame Differences

    • Hua Harry Li, Shan Sun, Daniel Panturu

    Pages 395-418

13. Back Matter

    Pages 419-421

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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.

• 3D
• HDTV
• coding
• data compression
• detection
• model
• modeling
• multimedia
• multimedia computing
• video
• video compression

• Texas Tech University, USA

  Hua Harry Li, Shan Sun

• University of Massachusetts, USA

  Haluk Derin

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