NDLI: Adaptive low power decoding process with temporal prediction method for common video

Content Provider	IEEE Xplore Digital Library
Author	Wenxin Yu Ning Jiang Xin Jin Goto, S.
Copyright Year	2011
Description	Author affiliation: Graduate school of Information, Production and Systems, Waseda University, Fukuoka, 808-0135 Japan (Wenxin Yu; Ning Jiang; Goto, S.) \|\| Information Technology Research Organization, Waseda University, Fukuoka, 808-0135 Japan (Xin Jin)
Abstract	This paper introduces an adaptive low power decoding process with temporal prediction method for common video. This method can be used to reduce the decoding time and reduce the decoding power consumption by skipping the decoding process of some frames and reducing the frame rate. With the temporal prediction, it is different from the certain frame skipping scheme in the temporal scalable decoding process with frame rate down conversion method (TSDP) [2]. This method considers the video quality loss when the current frame is skipped and chooses the skipping scheme which causes minimum cost, so this method can be also used in the common video cases. And compares with the temporal scalable decoding process with frame rate down conversion method, the video quality (PSNR) is improved about 0.01 – 2.4 dB in the experimental common video cases by using the temporal prediction method. And can reduce the decoding time based on the number of the skipped frames, and it can get about 65% – 86% reduction which compares with the frame rate reduction in the experimental cases.
Starting Page	163
Ending Page	166
File Size	633019
Page Count	4
File Format	PDF
ISBN	9781612844145
e-ISBN	9781612844138
DOI	10.1109/CSPA.2011.5759865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-04
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PSNR Power demand Surveillance frame rate down Signal processing algorithms decoding process Prediction methods common video low power Decoding Complexity theory temporal prediction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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