NDLI: Annotation of still images by multiple visual concepts

Content Provider	IEEE Xplore Digital Library
Author	Hamadi, A. Mulhem, P. Quenot, G.
Copyright Year	2014
Description	Author affiliation: LIG, Univ. Grenoble Alpes, Grenoble, France (Hamadi, A.; Mulhem, P.; Quenot, G.)
Abstract	The automatic indexing of images and videos is a highly relevant and important research area in the field of multimedia information retrieval. The difficulty of this task is no longer something to prove. The majority of the efforts of the research community have been focused in the past on the detection of single concepts in images/videos, which is already a hard task. With the evolution of the information retrieval systems, users needs are more abstract, and lead to a larger number of words composing the queries. It is sensible to think about indexing multimedia documents by more than one concept, to help retrieval systems to answer such complex queries. Few studies addressed specifically the problem of detecting multiple concepts (multi-concept) in images and videos, most of them concern the detection of concept pairs. These studies showed that such challenge is even greater than the one of single concept detection. In this work, we address this problematic of mult-concept detection in still images. Two types of approaches are considered : 1) building models per multi-concept and 2) fusion of single concepts detectors. We conducted our evaluation on PASCAL VOC'12 collection regarding the detection of pairs and triplets of concepts. Our results show that the two types of approaches give globally comparable results, but they differ for specific kinds of pairs/triplets.
Sponsorship	IEEE
Starting Page	1
Ending Page	4
File Size	396080
Page Count	4
File Format	PDF
ISBN	9781479939909
ISSN	19493991
DOI	10.1109/CBMI.2014.6849844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-18
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multimedia Visualization Concept Pairs Multi-concept Multimedia communication Videos Pascal VOC Multiple concepts Triplet of concepts Semantics Detectors Streaming media Semantic Indexing Fusion 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
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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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