NDLI: Bayesian Active Learning in Relevance Feedback for Image Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Jun Wu Yingling Fu Mingyu Lu
Copyright Year	2008
Description	Author affiliation: Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian (Jun Wu; Yingling Fu; Mingyu Lu)
Abstract	One of the fundamental problems in content-based image retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow the gap, relevance feedback (RF) is introduced into CBIR. However, most RF methods are challenged by small size sample collection and asymmetric sample distributions between the positive and the negative samples. In this paper, a Bayesian active learning (BAL) mechanism is proposed to overcome these problems. First, by defining the confidence, we design a new selection criterion for the images with the low confidence, which to be labeled by user, and then the learner is retrained by the most informative samples obtained from the last round feedback. Moreover, different learning strategies are used for estimating the distributions of the positive and the negative samples. Based on above methods, the retrieval performance can be enhanced. The experimental results on Corel image database demonstrate the effectiveness of the proposed algorithm.
Starting Page	371
Ending Page	375
File Size	434120
Page Count	5
File Format	PDF
ISBN	9780769534978
DOI	10.1109/IITA.2008.311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Support vector machines Bayesian Learning Relevance feedback Content based retrieval Negative feedback Image databases Bayesian methods Image retrieval Machine learning Information retrieval Information technology
Content Type	Text
Resource Type	Article

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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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