Query difficulty guided image retrieval system

Publisher:
Springer
Publication Type:
Conference Proceeding
Citation:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, 6524 LNCS (PART 2), pp. 479 - 482
Issue Date:
2011-01-26
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Query difficulty estimation is a useful tool for content-based image retrieval. It predicts the performance of the search result of a given query, and thus it can guide the pseudo relevance feedback to rerank the image search results, and can be used to re-write the given query by suggesting "easy" alternatives. This paper presents a query difficulty estimation guided image retrieval system. The system initially estimates the difficulty of a given query image by analyzing both the query image and the retrieved top ranked images. Different search strategies are correspondingly applied to improve the retrieval performance. © 2011 Springer-Verlag Berlin Heidelberg.
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