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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7407

Title: Low-power H.264 video compression architectures for mobile communication
Authors: Asral Bahari, Jambek
Tughrul, Arslan
Ahmet Teyfik, Erdogan
???metadata.dc.contributor.url???: asral@unimap.edu.my
Keywords: Low-power design;Motion estimation (ME);Video coding;VLS;Mobile communication;VLSI architecture
Issue Date: Sep-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: IEEE Transactions on Circuits and Systems for Video Technology, vol.19 (9), 2009, pages 1251-1261.
Abstract: This paper presents a method to reduce the computation and memory access for variable block size motion estimation (ME) using pixel truncation. Previous work has focused on implementing pixel truncation using a fixed-blocksize (16 × 16 pixels) ME. However, pixel truncation fails to give satisfactory results for smaller block partitions. In this paper, we analyze the effect of truncating pixels for smaller block partitions and propose a method to improve the frame prediction. Our method is able to reduce the total computation and memory access compared to conventional full-search method without significantly degrading picture quality. With unique data arrangement, the proposed architectures are able to save up to 53% energy compared to the conventional full-search architecture. This makes such architectures attractive for H.264 application in future mobile devices.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4914842
http://hdl.handle.net/123456789/7407
ISSN: 1051-8215
Appears in Collections:School of Microelectronic Engineering (Articles)

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