While many systems are currently available supporting the query-by-example paradigm for image retrieval, some key issues, such as the effective introduction of relevance feedback and the automatic selection of an optimal search strategy, need further investigation. This paper discusses query splitting as a way to improve the effectiveness of relevance feedback techniques based on feature weighting. The possibility of selecting among a set of image retrieval strategies the one which optimizes speed and quality on each given query is also presented and discussed.
Query Simplification and Strategy Selection for Image Retrieval
Brunelli, Roberto;Mich, Ornella
2000-01-01
Abstract
While many systems are currently available supporting the query-by-example paradigm for image retrieval, some key issues, such as the effective introduction of relevance feedback and the automatic selection of an optimal search strategy, need further investigation. This paper discusses query splitting as a way to improve the effectiveness of relevance feedback techniques based on feature weighting. The possibility of selecting among a set of image retrieval strategies the one which optimizes speed and quality on each given query is also presented and discussed.File in questo prodotto:
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