Supporting efficient multimedia database exploration |
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Authors: | Wen-Syan Li KSelçuk Candan Kyoji Hirata Yoshinori Hara |
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Affiliation: | (1) C&C Research Laboratories, NEC USA, 110 Rio Robles, M/S SJ100, San Jose, CA 95134, USA; E-mail: {wen,candan,hirata,hara}@ccrl.sj.nec.com , US |
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Abstract: | Due to the fuzziness of query specification and media matching, multimedia retrieval is conducted by way of exploration.
It is essential to provide feedback so that users can visualize query reformulation alternatives and database content distribution.
Since media matching is an expensive task, another issue is how to efficiently support exploration so that the system is not
overloaded by perpetual query reformulation. In this paper, we present a uniform framework to represent statistical information
of both semantics and visual metadata for images in the databases. We propose the concept of query verification, which evaluates queries using statistics, and provides users with feedback, including the strictness and reformulation alternatives
of each query condition as well as estimated numbers of matches. With query verification, the system increases the efficiency
of the multimedia database exploration for both users and the system. Such statistical information is also utilized to support
progressive query processing and query relaxation.
Received: 9 June 1998/ Accepted: 21 July 2000 Published online: 4 May 2001 |
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Keywords: | : Multimedia database – Exploration – Query relaxation – Progressive processing – Selectivity statistics – Human computer interaction |
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