NDLI: Statistical data based low-complexity mode decision for P-frame encoding in H.264/AVC

Content Provider	IEEE Xplore Digital Library
Author	Bin Zhan Baochun Hou Sotudeh, R.
Copyright Year	2007
Description	Author affiliation: Univ. of Hertfordshire, Hatfield (Bin Zhan; Baochun Hou; Sotudeh, R.)
Abstract	Compared with former video coding standards, H.264/AVC introduces a number of impressive techniques to improve the video coding efficiency. Flexible block size based mode decision (MD) is one of the major improvements and enables the encoder to accurately and efficiently predict the detailed contents in each frame. However, extremely complex calculations are involved in MD, and significantly increased consumption of power and time is also incurred during the encoding processing. This paper aims at presenting a simple but efficient fast MD algorithm. The proposed algorithm reduces the number of candidate inter modes according to the statistical data obtained from the previously encoded frames. A bitrate based adjustment scheme is also introduced in order to avoid the degradation of encoding efficiency. An improvement of encoding time with slightly decreased performance has been achieved, the experimental results are also provided.
Starting Page	1
Ending Page	5
File Size	249314
Page Count	5
File Format	PDF
ISBN	9781424409822
DOI	10.1109/ICICS.2007.4449778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-10
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encoding Automatic voltage control Video coding Bit rate Lagrangian functions Rate-distortion Communication standards Degradation MPEG 4 Standard Motion compensation macroblock H.264/AVC inter mode decision
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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