Paper
9 January 1998 Joint optimal object shape estimation and encoding
Lisimachos P. Kondi, Fabian W. Meier, Guido M. Schuster, Aggelos K. Katsaggelos
Author Affiliations +
Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298329
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
Abstract
A major problem in object oriented video coding and MPEG-4 is the encoding of object boundaries. In our previous work, we presented efficient methods for the lossy encoding of object boundaries which were optimal in the rate distortion sense. In this paper, we extend our work to utilize both the original image and an initial segmentation to obtain the optimal shape representation based on the criteria we impose. THe boundary detection and encoding problems are considered simultaneously. If there is low confidence on the location of the boundary, a large approximation error is allowed when encoding the boundary and vise versa. Experimental results demonstrate the effectiveness of the proposed algorithm.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lisimachos P. Kondi, Fabian W. Meier, Guido M. Schuster, and Aggelos K. Katsaggelos "Joint optimal object shape estimation and encoding", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298329
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Cited by 23 scholarly publications.
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KEYWORDS
Computer programming

Tolerancing

Distortion

Image segmentation

Plutonium

Image processing algorithms and systems

Neptunium

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