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Proceedings Paper

Scan order and quantization for 3D-DCT coding
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Paper Abstract

Two types of coders dominate the field of video compression research today: well-established hybrid coders, that are in the core of all MPEG and H.26X standards, and emerging three-dimensional (3D) subband coders, largely inspired by the success of wavelet-based still image compression. However, there are surprisingly few results reported on 3D Discrete Cosine Transform (DCT) based transform coders. Even while exploiting all the benefical properties of the DCT itself (forward/inverse symmetry, fast separable implementation, and excellent energy compaction), these coders under-perform when compared to competing hybrid coders primarily due to ineffcient quantization, scanning and entropy coding used. In this paper, we study means of improving 3D-DCT coding by proposing adaptive scanning order and quantization of coeffcients that are better matched to 3D-DCT spectrum of a motion sequence. Our results show signifcant improvement in performance over previously reported techniques.

Paper Details

Date Published: 23 June 2003
PDF: 12 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503324
Show Author Affiliations
Nikola Bozinovic, Boston Univ. (United States)
Janusz Konrad, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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