Motion Analysis and Image Sequence Processing

1. Front Matter

   Pages i-xxi

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2. Hierarchical Model-Based Motion Estimation

   • P. Anandan, J. R. Bergen, K. J. Hanna, Rajesh Hingorani

   Pages 1-22

3. An Estimation Theoretic Perspective on Image Processing and the Calculation of Optical Flow

   • T. M. Chin, M. R. Luettgen, W. C. Karl, A. S. Willsky

   Pages 23-51

4. Estimation of 2-D Motion Fields from Image Sequences with Application to Motion-Compensated Processing

   • E. Dubois, J. Konrad

   Pages 53-87

5. Edge Based 3-D Camera Motion Estimation with Application to Video Coding

   • A. Zakhor, F. Lari

   Pages 89-123

6. Motion Compensation: Visual Aspects, Accuracy, and Fundamental Limits

   • B. Girod

   Pages 125-152

7. Motion Field Estimators and their Application to Image Interpolation

   • S. Tubaro, F. Rocca

   Pages 153-187

8. Subsampling of Digital Image Sequences using Motion Information

   • R. A. F. Belfor, R. L. Lagendijk, J. Biemond

   Pages 189-223

9. Image Sequence Coding Using Motion Compensated Subband Decomposition

   • A. Nicoulin, M. Mattavelli, W. Li, A. Basso, A. C. Popat, M. Kunt

   Pages 225-256

10. Vector Quantization for Video Data Compression

    • R. M. Mersereau, M. J. T. Smith, C. S. Kim, F. Kossentini, K. K. Truong

    Pages 257-283

11. Model-Based Image Sequence Coding

    • M. Buck, N. Diehl

    Pages 285-315

12. Human Facial Motion Analysis and Synthesis with Application to Model-Based Coding

    • K. Aizawa, C. S. Choi, H. Harashima, T. S. Huang

    Pages 317-348

13. Motion Compensated Spatiotemporal Kalman Filter

    • J. W. Woods, J. Kim

    Pages 349-373

14. Multiframe Wiener Restoration of Image Sequences

    • M. K. Ozkan, M. I. Sezan, A. T. Erdem, A. M. Tekalpt

    Pages 375-409

15. 3-D Median Structures for Image Sequence Filtering and Coding

    • T. Viero, Y. Neuvo

    Pages 411-445

16. Video Compression for Digital Advanced Television Systems

    • John G. Apostolopoulos, Jae S. Lim

    Pages 447-481

17. Back Matter

    Pages 483-489

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An image or video sequence is a series of two-dimensional (2-D) images sequen­ tially ordered in time. Image sequences can be acquired, for instance, by video, motion picture, X-ray, or acoustic cameras, or they can be synthetically gen­ erated by sequentially ordering 2-D still images as in computer graphics and animation. The use of image sequences in areas such as entertainment, visual communications, multimedia, education, medicine, surveillance, remote control, and scientific research is constantly growing as the use of television and video systems are becoming more and more common. The boosted interest in digital video for both consumer and professional products, along with the availability of fast processors and memory at reasonable costs, has been a major driving force behind this growth. Before we elaborate on the two major terms that appear in the title of this book, namely motion analysis and image sequence processing, we like to place them in their proper contexts within the range of possible operations that involve image sequences. In this book, we choose to classify these operations into three major categories, namely (i) image sequence processing, (ii) image sequence analysis, and (iii) visualization. The interrelationship among these three categories is pictorially described in Figure 1 below in the form of an "image sequence triangle".

• Interpolation
• coding
• communication
• data compression
• filtering
• image processing
• multimedia
• robot
• television
• video compression

• Eastman Kodak Company, Rochester, USA

  M. Ibrahim Sezan

• Department of Electrical Engineering, Delft University of Technology, Delft, The Netherlands

  Reginald L. Lagendijk

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