A unified log-based relevance feedback scheme for image retrieval

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A unified log-based relevance feedback scheme for image retrieval (2006)

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by Steven C. H. Hoi , Student Member , Michael R. Lyu , Rong Jin

Venue:	IEEE Transactions on Knowledge and Data Engineering (TKDE
Citations:	51 - 18 self

BibTeX

@ARTICLE{Hoi06aunified,
    author = {Steven C. H. Hoi and Student Member and Michael R. Lyu and Rong Jin},
    title = {A unified log-based relevance feedback scheme for image retrieval},
    journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE},
    year = {2006}
}

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Abstract

Abstract—Relevance feedback has emerged as a powerful tool to boost the retrieval performance in content-based image retrieval (CBIR). In the past, most research efforts in this field have focused on designing effective algorithms for traditional relevance feedback. Given that a CBIR system can collect and store users ’ relevance feedback information in a history log, an image retrieval system should be able to take advantage of the log data of users ’ feedback to enhance its retrieval performance. In this paper, we propose a unified framework for log-based relevance feedback that integrates the log of feedback data into the traditional relevance feedback schemes to learn effectively the correlation between low-level image features and high-level concepts. Given the error-prone nature of log data, we present a novel learning technique, named Soft Label Support Vector Machine, to tackle the noisy data problem. Extensive experiments are designed and conducted to evaluate the proposed algorithms based on the COREL image data set. The promising experimental results validate the effectiveness of our log-based relevance feedback scheme empirically. Index Terms—Content-based image retrieval, relevance feedback, log-based relevance feedback, log data, user issues, semantic gap, support vector machines. æ

Keyphrases

unified log-based relevance feedback scheme image retrieval log data log-based relevance feedback traditional relevance feedback retrieval performance image retrieval system novel learning technique effective algorithm feedback information log-based relevance feedback scheme corel image data set soft label support vector machine promising experimental result extensive experiment feedback data content-based image retrieval low-level image feature noisy data problem powerful tool semantic gap support vector machine index term content-based image retrieval research effort history log unified framework abstract relevance feedback user issue error-prone nature high-level concept cbir system relevance feedback

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