NDLI: Large-scale semantic co-labeling of image sets

Content Provider	IEEE Xplore Digital Library
Author	Alvarez, J.M. Salzmann, M. Barnes, N.
Copyright Year	2014
Description	Author affiliation: NICTA, Canberra, ACT, Australia (Alvarez, J.M.; Salzmann, M.; Barnes, N.)
Abstract	As evidenced by video segmentation and cosegmentation approaches, exploiting multiple images is key to the success of visual scene understanding. With the availability of increasingly large sets of images, there is a clear need for methods that can efficiently analyze the similarities and structure across huge numbers of image pixels. Furthermore, to make effective use of this data, these similarities should not just be considered locally between neighboring pixels, but between all pairs of pixels across all images. In this paper, we tackle this challenging scenario by introducing a semantic co-labeling approach that performs efficient inference in a fully-connected CRF defined over the pixels, or superpixels, of an image set. Our experimental evaluation demonstrates that our approach yields improved accuracy while coming at no additional computation cost compared to performing segmentation sequentially on individual images. Furthermore, our formulation lets us perform inference over ten thousand images in a matter of seconds.
Sponsorship	IEEE Comput. Soc.
Starting Page	501
Ending Page	508
File Size	2742272
Page Count	8
File Format	PDF
ISBN	9781479949854
DOI	10.1109/WACV.2014.6836060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Abstracts Training Face Bicycles Birds Roads Boats
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