Integrated browsing and searching of large image collections

Current image retrieval systems offer either an exploratory search method through browsing and navigation or a direct search method based on specific queries. Combining both of these methods in a uniform framework allows users to formulate queries more naturally, since they are already acquainted with the contents of the database and with the notion of matching the machine would use to return results. We propose a multi-mode and integrated image retrieval system that offers the user quick and effective previewing of the collection, intuitive and natural navigating to any parts of it, and query by example or composition for more specific and clearer retrieval goals


Published in:
Advances in Visual Information Systems. 4th International Conference, VISUAL 2000. Proceedings (Lecture Notes in Computer Science Vol.1929), Copyright 2001, IEE, 279-89
Presented at:
VISUAL 2000, Lyon, France, 2-4 November 2000
Year:
2000
Publisher:
Springer-Verlag
Keywords:
Note:
Lab. for Audio-Visual Commun., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Laboratories:




 Record created 2008-01-14, last modified 2018-03-18

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