Query difficulty guided image retrieval system
- Publication Type:
- Conference Proceeding
- 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:
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
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.
Please use this identifier to cite or link to this item: