NDLI: A Study of Language Model for Image Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Bo Geng Linjun Yang Chao Xu
Copyright Year	2009
Abstract	Recently, various language model approaches have been proposed in the information retrieval realm, with their promising performances in general document and Web page retrieval applications. Based on these achievements, in this paper, we investigate and discuss whether language model approaches can be adapted to content based image retrieval (CBIR), based on the “bag of visual words” image representation. A critical element of language model estimation is smoothing, which adjusts the maximum likelihood estimation to overcome the data sparseness problem. Therefore, we perform extensive studies over different smoothing methods, strategies, and parameters, by showing their impacts to the retrieval performances. Experiments are performed over two popular image retrieval databases, together with some insightful conclusions to facilitate the adaptation of language model approaches to CBIR.
Starting Page	158
Ending Page	163
File Size	513600
Page Count	6
File Format	PDF
ISBN	9781424453849
DOI	10.1109/ICDMW.2009.114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Smoothing methods Content based retrieval Image databases Image retrieval Asia Adaptation model Image representation Information retrieval language model Visual databases content based image retrieval
Content Type	Text
Resource Type	Article

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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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