NDLI: High-level event detection in video exploiting discriminant concepts

Content Provider	IEEE Xplore Digital Library
Author	Gkalelis, N. Mezaris, V. Kompatsiaris, I.
Copyright Year	2011
Description	Author affiliation: Informatics and Telematics Institute / CERTH, Thermi 57001, Greece (Gkalelis, N.; Mezaris, V.; Kompatsiaris, I.)
Abstract	In this paper a new approach to video event detection is presented, combining visual concept detection scores with a new dimensionality reduction technique. Specifically, a video is first decomposed to a sequence of shots, and trained visual concept detectors are used to represent video content with model vector sequences. Subsequently, an improved subclass discriminant analysis method is used to derive a concept subspace for detecting and recognizing high-level events. In this space, the median Hausdorff distance is used to implicitly align and compare event videos of different lengths, and the nearest neighbor rule is used for recognizing the event depicted in the video. Evaluation results obtained by our participation in the Multimedia Event Detection Task of the TRECVID 2010 competition verify the effectiveness of the proposed approach for event detection and recognition in large scale video collections.
Starting Page	85
Ending Page	90
File Size	197670
Page Count	6
File Format	PDF
ISBN	9781612844329
ISSN	19493991
e-ISBN	9781612844336
e-ISBN	9781612844312
DOI	10.1109/CBMI.2011.5972525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-13
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Visualization Databases Event detection Signal processing algorithms Detectors Nickel
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
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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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