NDLI: Semantic Event Extraction Using Neural Network Ensembles

Content Provider	IEEE Xplore Digital Library
Author	Min Chen Chengcui Zhang Shu-Ching Chen
Copyright Year	2007
Description	Author affiliation: Univ. of Montana, Missoula (Min Chen)
Abstract	This paper proposes a novel semantic content analysis framework for reliable video event extraction which is essential for high-level video indexing and retrieval. In this work, we target to address the unique challenges posed in rare event detection, where positive examples (i.e., eventful data points) are vastly outnumbered and thus overshadowed by negative ones (i.e., noneventful data points). The proposed framework tackles this issue by integrating the strength of multimodal content analysis and neural network ensembles. Specifically, due to the rareness of the target events, the boostrapped sampling method is adopted to reduce the effect of class imbalance and a group of component neural networks are constructed consequently. Thereafter, a weighting scheme is applied to intelligently traverse and combine the component network predictions. The effectiveness of the proposed framework is demonstrated over a large collection of soccer video data with different styles produced by different broadcasters.
Starting Page	575
Ending Page	580
File Size	483113
Page Count	6
File Format	PDF
ISBN	9780769529974
DOI	10.1109/ICSC.2007.75
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Event detection Bayesian methods Neural networks Hidden Markov models Multimedia databases Information retrieval Computer networks Data mining Indexing
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray 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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