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Proceedings Paper

Segmentation-based image compression for video cassette recorders
Author(s): Patrick Devaney; Daniel Gnanaprakasam; Peter H. Westerink
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Paper Abstract

Studio-quality video cassette recorders used for editing need intraframe compression schemes that can compress/decompress an image many times without appreciable degradation. They also require fast-forward playback of a low-quality image using only a small part of the compressed data. A system with these features is reported, based on image segmentation. A segmented approximation to the original image is losslessly encoded and a residual image is created. The lossless coding scheme is motivated by examining the constraints caused by channel errors and trick play modes. The residual image is coded by a conventional data compression technique. By preserving the main image features with a lossless code, the multi- generation performance is stabilized. Because segmentation is shift-invariant, edits that include x-y shifting between generations do not degrade performance. This paper reports a new segmentation algorithm. It has high resolution, obtained in part by a newly designed edgeness measurement. Using this, images are segmented to pixel accuracy by an algorithm which is only O[n] in complexity. Multi-generation simulations of sequences with 4:1 compression ratios are presented at both normal and shuttle speeds, using both sub-band and DCT residual coders.

Paper Details

Date Published: 1 May 1994
PDF: 12 pages
Proc. SPIE 2186, Image and Video Compression, (1 May 1994); doi: 10.1117/12.173925
Show Author Affiliations
Patrick Devaney, Matsushita Applied Research Lab. (United States)
Daniel Gnanaprakasam, Matsushita Applied Research Lab. (United States)
Peter H. Westerink, Matsushita Applied Research Lab. (United States)


Published in SPIE Proceedings Vol. 2186:
Image and Video Compression
Majid Rabbani; Robert J. Safranek, Editor(s)

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