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Proceedings Paper

Eigenfeatures coding of videoconferencing sequences
Author(s): Marcia G. Ramos; Sheila S. Hemami
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Paper Abstract

This paper presents a video coding technique that achieves high visual quality at very low bit rates. Each video frame is divided into two regions, consisting of a background area and a visually important feature to be coded at higher bit rates. The feature is tracked from frame to frame and it is coded using a set of features that are extracted from a training set. The set of features, which will be referred to as eigenfeatures, is stored both at the encoder and decoder sites. The technique is based on the eigenfaces method, and achieves high visual quality at high feature compression ratios (around 200 for the salesman sequence and 1000 for the Miss America sequence) with considerably less computational complexity than the eigenfaces method. Using this technique for the feature together with H.261 for the background allows a reduction of up to 70% in the bit rate compared to using H.261 alone.

Paper Details

Date Published: 27 February 1996
PDF: 11 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233178
Show Author Affiliations
Marcia G. Ramos, Cornell Univ. (United States)
Sheila S. Hemami, Cornell 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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