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Title: Shape adaptive integer transform for coding arbitrarily shaped objects in H.264/AVC
Authors: Li, Xiongwen
Edirisinghe, Eran A.
Bez, Helmut E.
Keywords: H.264
Video coding
Shape adaptive
Integer transform
Shape adaptive integer transform
SA-IT
SA-DCT
Arbitrarily shaped object
DCT
Issue Date: 2006
Publisher: © 2006 SPIE
Citation: LI, X., EDIRISINGHE, E.A.and BEZ, H.E., 2006. Shape adaptive integer transform for coding arbitrarily shaped objects in H.264/AVC. IN: Apostolopoulos, J.G. and Said, A. (eds.) Visual Communications and Image Processing 2006, Proc. of SPIE-IS&T Electronic Imaging, 6077, 60770C, 11pp.
Abstract: The use of shape-adaptive transforms is a popular approach for coding arbitrarily shaped objects in image/video coding due to their adaptability at object edges and low complexity. In this respect shape adaptive DCT (SA-DCT) and shape adaptive DWT (SA-DWT) have been proposed in previous literature. The Integer Transform (IT), a derivative of the 4x4 DCT, has been adopted in the latest H.264/AVC standard for coding image blocks in residual data (texture). The associated integer arithmetic guarantees fast and accurate coding/decoding. In this paper, we propose a novel Shape Adaptive Integer Transform (SA-IT) which can be effectively used in future for enabling arbitrary shaped object coding in H.264. Though Integer Transforms are a derivative of 4x4 DCTs, in H.264, to maintain integer arithmetic capability, the post-and pre-scaling factors of transform process are integrated into the forward and inverse quantiser stages respectively for reducing the total number of multiplications and avoiding the loss of accuracy. Thus SA-IT considerably differs from SA-DCT and calls for novel design and implementation considerations based on combining those merits of both SA-DCT and IT. We provide theoretical proofs and support them with experimental justifications.
Description: Copyright 2006 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper can also be found at: http://dx.doi.org/10.1117/12.642320
Version: Published
DOI: 10.1117/12.642320
URI: https://dspace.lboro.ac.uk/2134/6504
Appears in Collections:Conference Papers (Computer Science)

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