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2000
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Efficient Query Refinement in Multimedia Databases

9 years 7 months ago
Efficient Query Refinement in Multimedia Databases
Increasing application demands are pushing database management systems (DBMSs) towards providing adequate and efficient support for content-based retrieval over multimedia objects (e.g., images, video, audio, time-series, spatial and spatio-temporal data). Recently, several powerful models for multimedia similarity retrieval have been proposed. An important aspect of these models is the notion of query refinement: a technique that allows the users to interactively specify their information need to the system by providing relevance ranking on example objects. Query refinement has several motivations. First, the `starting' query may only partially capture the user's information need. The user may find better examples among the answers returned to the starting query which then become the basis of the `refined' query. Second, multimedia objects are represented as a collection of features. The relative importance of these features in computing the similarity between objects ...
Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Me
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where ICDE
Authors Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Mehrotra
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