NDLI: Over-complete representation and fusion for semantic concept detection

Content Provider	IEEE Xplore Digital Library
Author	Natsev, A. Naphade, M.R. Smith, J.R.
Copyright Year	2004
Description	Author affiliation: IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA (Natsev, A.; Naphade, M.R.; Smith, J.R.)
Abstract	Automatic semantic concept detection in images is a promising tool for alleviating the user effort in annotating and cataloging digital media collections. It enables automatic identification of people, places and objects, for enhanced indexing and searching of home photographs, for example. While constructing robust semantic detectors has been shown feasible for global generic concepts with a sufficient number of good training examples (e.g., indoors, outdoors), many interesting concepts, such as face, people, occur at subpicture granularity, occupy only a portion of the image and therefore frequently have training examples with a reduced signal-to-noise ratio. Such regional concepts are harder to detect due to imperfections in automatic image segmentation algorithms leading to inaccurate object boundaries and low-level feature ambiguities. In this paper we focus on the problem of boosting detection performance of existing regional concept detectors by exploiting detection redundancy. Specifically, we propose to use the same detector multiple times to evaluate and combine multiple detection hypotheses for the same content-but at different content granularities-in order to reduce detection sensitivity to segmentation errors. We validate the approach using support vector machine classifiers for 14 regional semantic concepts from the NISTTRFCVID 2003 common annotation lexicon and show performance improvements of multigranular detection and fusion.
Starting Page	2375
Ending Page	2378
File Size	314315
Page Count	4
File Format	PDF
ISBN	0780385543
ISSN	15224880
DOI	10.1109/ICIP.2004.1421578
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-24
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Face detection Indexing Robustness Signal to noise ratio Object detection Image segmentation Boosting Redundancy Support vector machines
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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