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Proceedings Paper

Detection and encoding of model failures in very low bit rate video coding
Author(s): Taner Ozcelik; Aggelos K. Katsaggelos
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Paper Abstract

One of the challenging problems for most existing video codecs is the detection and encoding of the information pertaining to model failure areas, i.e., areas where the compensation of the motion is insufficient. The insufficient motion may result from several different reasons, such as uncovered background by moving objects, complex motion, etc. The existing approaches to detection and encoding of model failures are closely tied to the encoding scheme they are built in, particularly to the specific motion estimation algorithm used; therefore, generalization of these algorithms to other coding techniques is not possible. On the other hand, the efficient encoding of the position and the intensity field information in these areas is also very crucial to the performance of the very low bit rate codecs. The existing approaches fail to meet the target bit rates and satisfactory image quality. In this paper, a new method to detect the model failure areas is described. In this method, the model failure areas are detected based on a motion compensated prediction of the current frame independently of the motion estimation algorithm. Thus the proposed method can be used with any type of coding scheme. In addition efficient and robust encoding of the boundary and the intensity information is described. The simulation results demonstrate that with the described method, the requirements of very low bit rate coding can be satisfactorily met.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233297
Show Author Affiliations
Taner Ozcelik, Sony Electronics, Inc. (United States)
Aggelos K. Katsaggelos, Northwestern Univ. (United States)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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