NDLI: Fast video object segmentation using affine motion and gradient-based color clustering

Content Provider	IEEE Xplore Digital Library
Author	Ju Guo Jongwon Kim Kuo, C.-C.J.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA (Ju Guo)
Abstract	Video object segmentation is an important component for object-based video coding schemes such as MPEG-4. A fast and robust video segmentation technique, which aims at efficient foreground and background separation via effective combination of motion and color segmentation modules is proposed in this work. First, a non-parametric gradient-based iterative color clustering algorithm called the mean shift algorithm is employed to provide a robust initial dominant color regions according to color similarity. With the dominant color information obtained from previous frames as an initial seed for the next frame, we can reduce the amount of computational time by 50%. Next, moving regions are identified by a motion detection method based on the frame intensity difference, which helps to circumvent the motion estimation complexity for the whole frame. Only moving regions are further merged or split according to the region-based affine motion model. Furthermore, sizes, colors, and motion information of homogeneous regions are tracked to increase temporal and spatial consistency of extracted objects. The proposed system is evaluated for several typical MPEG-4 test sequences, and it provides very consistent and accurate object boundaries throughout the entire test sequences.
Starting Page	486
Ending Page	491
File Size	381153
Page Count	6
File Format	PDF
ISBN	0780349199
DOI	10.1109/MMSP.1998.739000
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object segmentation MPEG 4 Standard Robustness Clustering algorithms Iterative algorithms System testing Video coding Motion detection Motion estimation Tracking
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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