Motion Analysis and Image Sequence Processing

Sezan, M. Ibrahim|Lagendijk, Reginald L.

ISBN 10: 0792393295 / ISBN 13: 9780792393290

Editore: Springer US, 1993

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Codice articolo 458443526

Dati bibliografici

• Titolo: Motion Analysis and Image Sequence Processing
• Editore: Springer US
• Data di pubblicazione: 1993
• Lingua: Inglese
• ISBN 10: 0792393295
• ISBN 13: 9780792393290
• Rilegatura: Gebunden
• Condizione: New
• Cataloghi dei venditori:
  • Importe

Descrizione articolo

Riassunto

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".

Contenuti

Preface. 1. Hierarchical Model-Based Motion Estimation; P. Anandan, J.R. Bergen, K.J. Hanna, R. Hingorani. 2. 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. 3. Estimation of 2-D Motion Fields from Image Sequences with Application to Motion-Compensated Processing; J. Konrad, E. Dubois. 4. Edge-Based 3-D Camera Motion Estimation with Application to Video Coding; E. Zakhor, F. Lari. 5. Motion Compensation: Visual Aspects, Accuracy, and Fundamental Limits; B. Girod. 6. Motion Field Estimators and their Application to Image Interpolation; S. Tubaro, F. Rocca. 7. Subsampling of Digital Image Sequences using Motion Information; R.A.F. Belfor, R.L. Lagendijk, J. Biemond. 8. Image Sequence Coding using Motion-Compensated Subband Decomposition; A. Nicoulin, M. Mattavelli, W. Li, A. Basso, A. Popat, M. Kunt. 9. Vector Quantization for Video Data Compression; R.M. Mersereau, M.J.T. Smith, C.S. Kim, F. Kossentini, K.K. Truong. 10. Model-Based Image Sequence Coding; M. Buck, N. Diehl. 11. Human Facial Motion Analysis and Synthesis with Applications to Model-Based Coding; K. Aizawa, C.s. Choi, H. Harashima, T.S. Huang. 12. Motion Compensated Spatiotemporal Kalman Filtering; J.W. Woods, J. Kim. 13. Multiframe Wiener Restoration of Image Sequences; M.K. Ozkan, M.I. Sezan, A.T. Erdem, A.M. Tekalp. 14. 3-D Median Structures for Image Sequence Filtering and Coding; T. Viero, Y. Neuvo. 15. Video Compression for Digital ATV Systems;J.G. Apostolopoulos, J.S. Lim. Index.