Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
WordNet: a lexical database for English
Communications of the ACM
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Managing multimedia information in database systems
Communications of the ACM
Query by image and video content: the QBIC system
Intelligent multimedia information retrieval
Readings in information retrieval
Readings in information retrieval
SEMCOG: A Hybrid Object-based Image Database System and Its Modeling, Language, and Query Processing
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Similarity based Retrieval of Pictures Using Indices on Spatial Relationships
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Shape indexing by structural properties
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Multimedia Tools and Applications
The VLDB Journal — The International Journal on Very Large Data Bases
Feedback-driven result ranking and query refinement for exploring semi-structured data collections
Proceedings of the 13th International Conference on Extending Database Technology
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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.