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Proceedings Paper

SNR scalable video coder using progressive transmission of DCT coefficients
Author(s): Marshall A. Robers; Lisimachos P. Kondi; Aggelos K. Katsaggelos
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Paper Abstract

The importance of signal-to-noise ratio (SNR) video compression algorithms has increased in the past few years. This emergence corresponds with the vast increase of products and applications requiring the transmission of digital video stream.s these new applications, including video telephony/teleconferencing, video surveillance/public safety, and video-to-demand, require limiting the bandwidth of the compressed bitstream to less than the capacity of the transmission channel. However, the channel capacity is frequently unknown at the time of compression, especially when the stream is to be broadcasted to many users over heterogeneous channels. SNR scalable, compression allows a single compression to provide bitstreams of multiple quality. In this fashion, the transmitted bitrate can match the available channel(s) without requiring multiple encodings. In this paper, we present a novel approach to SNR scalable video compression. Our approach combines two separate methodologies for dividing the blocks of discrete cosine transform (DCT) coefficients. The flexible combination of these approaches allows each DCT block to be divided into a fixed number of scans while also controlling the size of each scan. Thus, the transmitted stream can contain any subset of scans from the overall compressed version and thereby both the transmitted bitrate and the quality or SNR are allowed to vary.

Paper Details

Date Published: 9 January 1998
PDF: 12 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298330
Show Author Affiliations
Marshall A. Robers, Data Communications Technologies (United States)
Lisimachos P. Kondi, Northwestern Univ. (United States)
Aggelos K. Katsaggelos, Northwestern Univ. (United States)

Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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