Please use this identifier to cite or link to this item:
Title: Low-complexity intra prediction algorithm for video down-sizing transcoder
Authors: Lu, ZY
Jia, KB
Siu, WC 
Issue Date: 2011
Source: 2011 IEEE Visual Communications and Image Processing, VCIP 2011, 2011, 6115934 How to cite?
Abstract: This paper presents an efficient intra mode decision scheme for down-sizing video transcoding in H.264 using support vector machines (SVMs). In order to reduce the high computational complexity of intra prediction in the H.264 re-encoder, the proposed scheme uses SVMs to exploit the correlation between coding information extracted from the input high-resolution bit-stream and the coding modes of macro-blocks in down-sized video, and turns the intra mode decision problem into pattern classification problem to achieve low complexity video transcoding framework. After the SVMs classifier, improbable modes are eliminated and only a small number of candidate modes are carried out using the RDO operations. Hence, remarkable computing time of up to 65.3% can be saved with trivial bit gain and quality loss.
Description: 2011 IEEE Visual Communications and Image Processing, VCIP 2011, Tainan, 6-9 November 2011
ISBN: 9781457713200
DOI: 10.1109/VCIP.2011.6115934
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Feb 19, 2019

Page view(s)

Last Week
Last month
Citations as of Feb 18, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.