24 August 1999 Information embedding based on user's relevance feedback for image retrieval
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Proceedings Volume 3846, Multimedia Storage and Archiving Systems IV; (1999) https://doi.org/10.1117/12.360434
Event: Photonics East '99, 1999, Boston, MA, United States
Abstract
An image retrieval system based on an information embedding scheme is proposed. Using relevance feedback, the system gradually embeds correlations between images from a high- level semantic perspective. The system starts with low-level image features and acquires knowledge from users to correlate different images in the database. Through the selection of positive and negative examples based on a given query, the semantic relationships between images are captured and embedded into the system by splitting/merging image clusters and updating the correlation matrix. Image retrieval is then based on the resulting image clusters and the correlation matrix obtained through relevance feedback.
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Catherine S. Lee, Catherine S. Lee, Wei-Ying Ma, Wei-Ying Ma, HongJiang Zhang, HongJiang Zhang, } "Information embedding based on user's relevance feedback for image retrieval", Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); doi: 10.1117/12.360434; https://doi.org/10.1117/12.360434
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