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2007
Springer

Visual information retrieval using synthesized imagery

10 years 6 months ago
Visual information retrieval using synthesized imagery
In this project (VIRSI) we investigate the promising contentbased retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of synthetic imagery. In relevance feedback methods, the user himself is a key factor in the search process as he provides positive and negative feedback on the results, which the system uses to iteratively improve the set of candidate results. In our approach we closely integrate the generation of synthetic imagery in the relevance feedback process through a new fundamental paradigm: Artificial Imagination (AIm). Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – Query formulation, Relevance feedback, Search process. General Terms Algorithms, Human Factors. Keywords Content-based retrieval, principal component analysis, artificial imagination
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIVR
Authors Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Michael S. Lew
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