NDLI: A Comprehensive Study of Feature Representations for Semantic Concept Detection

Content Provider	IEEE Xplore Digital Library
Author	Duy-Dinh Le Satoh, S.
Copyright Year	2011
Abstract	In this paper, we study the performance of global features and local features for the semantic concept detection problem, which is a crucial task for video indexing and retrieval applications. We have performed a comprehensive evaluation of these features on TRECVID datasets that are used in the concept detection benchmark from 2005 to 2009. The experimental results show that with appropriate choice of parameters, global features such as local binary patterns and edge orientation histogram can achieve reasonable performance compared with local features using BoW model while requiring fewer number of parameters to be tuned and lower computational cost. Furthermore, we also investigate on how to design a compact concept detection system that can balance between computational cost and accuracy.
Starting Page	235
Ending Page	238
File Size	389132
Page Count	4
File Format	PDF
ISBN	9781457716485
DOI	10.1109/ICSC.2011.92
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	local features BOW feature Training Histograms TRECVID global features semantic concept detection Semantics Detectors Feature extraction semantic indexing Computational efficiency 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	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

A Comprehensive Study of Feature Representations for Semantic Concept Detection