NDLI: Video coding using the most common frame in scene

Content Provider	IEEE Xplore Digital Library
Author	Paul, M. Weisi Lin Chiew Tong Lau Bu-sung Lee
Copyright Year	2010
Description	Author affiliation: School of Computer Engineering, Nanyang Technological University, Singapore-639798, Singapore (Paul, M.; Weisi Lin; Chiew Tong Lau; Bu-sung Lee)
Abstract	Motion estimation (ME) and motion compensation (MC) using variable block size, fractional search, and multiple reference frames (MRFs) help the recent video coding standard H.264 to improve the coding performance significantly over the other contemporary coding standards. The concept of MRF achieves better coding performance in the cases of repetitive motion, uncovered background, non-integer pixel displacement, lighting change, etc. The requirement of index codes of the reference frames, computational time in ME&MC, and memory buffer for pre-coded frames limits the number of reference frames used in practical applications. In typical video sequence, the previous frame is used as a reference frame with 68∼92% of cases. In this paper, we propose a new video coding method using a reference frame (i.e., the most common frame in scene (McFIS)) generated by the Gaussian mixture based dynamic background modelling. The McFIS is not only more effective in terms of rate-distortion and computational time performance compared to the MRFs but also error resilient transmission channel. The experimental results show that the proposed coding scheme outperforms the H.264 standard video coding with five reference frames by at least 0.5 dB and reduced 60% of computation time.
Starting Page	734
Ending Page	737
File Size	1217463
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Layout Image quality Motion estimation Video sequences Sprites (computer) Motion compensation Rate-distortion Decoding Computational complexity multiple reference frames uncovered background light change repetitive motion H.264 motion estimation multiple sprites sprite MRF
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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