NDLI: Adaptive Subsampling and Motion Feature Based Fast H.264 Motion Estimation

Content Provider	IEEE Xplore Digital Library
Author	Huang, Yiqing Liu, Qin Goto, Satoshi Ikenaga, Takeshi
Copyright Year	2008
Abstract	The latest video coding standard H.264/AVC can provide excellent performance compared with previous standards. However, the introduction of new techniques in motion estimation also brings about heavy burden of computation complexity on the video coding system. In hardware field, the subsampling technique is widely used to reduce hardware cost and release computation burden of ME engine. However, direct subsampling on video sequences will cause serious quality degradation. This paper proposes a hardware friendly fast ME algorithm which combines two complexity reduction schemes. Firstly, the pixel difference based adaptive subsampling scheme select different subsampling patterns according to the feature of current MB. Secondly, in order to fasten the ME procedure, a search position based 3-layer search range adjustment scheme is proposed to remove redundant search points. Experimental results show that about 74.17% to 90.26% ME Time can be reduced while the video quality loss is trivial. Moreover, since the two schemes are both friendly to hardware implementation, the proposed fast ME algorithm can be implanted into realtime hardwired video coding system.
Starting Page	671
Ending Page	675
File Size	348890
Page Count	5
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Adaptive Subsampling Motion estimation Video sequences Pipelines Adaptive signal processing Engines Degradation Signal processing algorithms Motion Estimation Hardware Automatic voltage control Motion Feature
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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