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Proceedings Paper

High-compression video coding using generic vector mapping
Author(s): Ya-Qin Zhang; Weiping Li
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Paper Abstract

High-compression video coding at very low bit rates has recently received much attention in academia, industry, and standard bodies. ISO/IEC/JTC1/SC29 has recently started a new initiative for very low bitrate coding of audio and video information (MPEG 4). ITU-T (formerly CCITT) SG 15/WP15/1, targeted primarily at video-telephony applications, has outlined near-term (H.VLC/N) specifications for audio/video coding, data interface, multiplexing, error control, modem, and overall system integration. This paper presents a new approach for very low bit rate video coding based on generic vector mapping and quantization (GVMQ). The vector mapping (VM) can be considered as an extension to the existing pixel- based mapping techniques, in which pixel-based operation is replaced by vector-based operations. Since VM intends to preserve the internal correlation structure within a vector while decorrelating different vectors, the subsequent VQ becomes highly efficient, recalling the fact that better VQ performance can be achieved when inter-vector correlation is reduced while intra-vector correlation is preserved. Two examples of the GVMQ for image coding are Vector Transform Coding (VTC) and Vector Subband Coding (VSC), developed previously by the authors. VTC and VSC can also be considered as extensions of DCT and subband coding to vector forms. From the preliminary study, we feel that GVMQ presents a promising approach to very low bit rate coding. It can be considered as a bridge between the conventional coding schemes and the object-oriented representation. The scheme is being further optimized for submission to relevant standard bodies including ISO/IEC/JTC1/SC29 and ITU-T SG 15.

Paper Details

Date Published: 16 September 1994
PDF: 15 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185865
Show Author Affiliations
Ya-Qin Zhang, GTE Labs. Inc. (United States)
Weiping Li, Lehigh Univ. (United States)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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