Semantic facets: an in-depth analysis of a semantic image retrieval system

This paper introduces a faceted model of image semantics which attempts to express the richness of semantic content interpretable within an image. Using a large image data-set from a museum collection the paper shows how the facet representation can be applied. The second half of the paper describes our semantic retrieval system, and demonstrates its use with the museum image collection. A retrieval evaluation is performed using the system to investigate how the retrieval performance varies with respect to each of the facet categories. A number of factors related to the image dataset that affect the quality of retrieval are also discussed. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval; H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing; H.3.4 [Information Storage and Retrieval]: Systems and Software—Performance Evaluation General Terms Performance, Experimentation, Design, Theory Keywords Semanti...

• Type: Conference
• Year: 2007
• Where: CIVR
• Authors: Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser, Christine J. Sandom
• Keywords: CIVR 2007, Image, Semantic, Semantic Retrieval System