NDLI: Supervised topic model for automatic image annotation

Content Provider	IEEE Xplore Digital Library
Author	Putthividhya, D. Attias, H.T. Nagarajan, S.S.
Copyright Year	2010
Description	Author affiliation: Dept. of Radiology, UCSF, 513 Parnassus Ave, San Francisco, CA 94143, USA (Nagarajan, S.S.) \|\| Golden Metallic, Inc., P.O. Box 475608, San Francisco, CA 94147, USA (Attias, H.T.) \|\| Institute for Neural Computation, UCSD, 9500 Gilman Drive, La Jolla, CA 92093, USA (Putthividhya, D.)
Abstract	This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to handle a multi-variate binary response variable of the annotation data. Unlike correspondence LDA (cLDA), the association model in sLDA allows each caption word to be associated with more than 1 image region and is thus more appropriate for annotation words that globally describe the scene. By modeling the response variable as a multi-variate Bernoulli, we introduce a tight convex variational bound for the logistic function and derive an efficient variational inference algorithm based on mean-field approximation. Our model compares favorably with cLDA on an image annotation task, as demonstrated by a superior caption prediction probability.
Starting Page	1894
Ending Page	1897
File Size	362731
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495341
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear discriminant analysis Signal processing algorithms Logistics Image retrieval Approximation algorithms Inference algorithms Vocabulary Probability distribution Radiology Layout Multimedia Signal Processing Statistical Topic Models Probabilistic Graphical Models Automatic Image Annotation 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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