NDLI: Cosegmentation from similar backgrounds

Content Provider	IEEE Xplore Digital Library
Author	Fanman Meng Hongliang Li KingNgi Ngan Bing Zeng Nini Rao
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China (KingNgi Ngan) \|\| Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Fanman Meng; Hongliang Li; Bing Zeng; Nini Rao)
Abstract	Recently, the common objects are often required to be extracted from a group of images in many applications, such as video coding and model training. Co-segmentation is a new and efficient method for this requirement. In realistic applications, we observe that the images usually contain similar backgrounds (namely similar scene co-segmentation), such as the city landmark images collected from the web or the key frames sampled from a video. Meanwhile, the existing co-segmentation has not paid so much attention on the similar scene co-segmentation, and the insufficiently accurate segments may be provided by the existing methods. In this paper, we propose an active contours based co-segmentation model to provide foregrounds from the similar backgrounds. We combine the background consistency constraint with the foreground consistency constraint to form the energy function, and use the method of level-set and the calculus of variations to minimize the model. We also speed up the model by the hierarchical structure and the superpixel technique. We test the method on both the image and video dataset. The results show that the proposed model can obtain larger IOU values than the state-of-the-art co-segmentation methods.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	353
Ending Page	356
File Size	2046931
Page Count	4
File Format	PDF
e-ISBN	9781479934324
DOI	10.1109/ISCAS.2014.6865138
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Computer vision Conferences Pattern recognition Educational institutions Active contours Computational modeling
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
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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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