Bayesian representations and learning mechanisms for content-based image retrieval

Nuno Miguel Vasconcelos; Andrew B. Lippman

doi:10.1117/12.373579

23 December 1999 Bayesian representations and learning mechanisms for content-based image retrieval

Nuno Miguel Vasconcelos, Andrew B. Lippman

Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373579
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

We have previously introduced a Bayesian framework for content-based image retrieval that relies on a generative model for feature representation based on embedded mixtures. This is a truly generic image representation that can jointly model color and texture and has been shown to perform well across a broad spectrum of image databases. In this paper, we expand the Bayesian framework along two directions.

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Nuno Miguel Vasconcelos and Andrew B. Lippman "Bayesian representations and learning mechanisms for content-based image retrieval", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373579

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