From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval

Authors:
Nuno Vasconcelos
Affiliations:
University of California, San Diego
Venue:
Computer
Year:
2007

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Abstract

The image retrieval paradigm has evolved from low-level image representations to semantic concept models to higher-level semantic inferences. UCSD's Statistical Visual Computing Laboratory has developed effective techniques for each paradigm that equate retrieval with classification and strive for minimum-probability-of-error optimality.