Paper
16 January 2006 Mind the gap: another look at the problem of the semantic gap in image retrieval
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser, Christine J. Sandom
Author Affiliations +
Proceedings Volume 6073, Multimedia Content Analysis, Management, and Retrieval 2006; 607309 (2006) https://doi.org/10.1117/12.647755
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
This paper attempts to review and characterise the problem of the semantic gap in image retrieval and the attempts being made to bridge it. In particular, we draw from our own experience in user queries, automatic annotation and ontological techniques. The first section of the paper describes a characterisation of the semantic gap as a hierarchy between the raw media and full semantic understanding of the media's content. The second section discusses real users' queries with respect to the semantic gap. The final sections of the paper describe our own experience in attempting to bridge the semantic gap. In particular we discuss our work on auto-annotation and semantic-space models of image retrieval in order to bridge the gap from the bottom up, and the use of ontologies, which capture more semantics than keyword object labels alone, as a technique for bridging the gap from the top down.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser, and Christine J. Sandom "Mind the gap: another look at the problem of the semantic gap in image retrieval", Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 607309 (16 January 2006); https://doi.org/10.1117/12.647755
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CITATIONS
Cited by 136 scholarly publications and 5 patents.
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KEYWORDS
Image retrieval

Bridges

Multimedia

Visualization

RGB color model

Image analysis

Image segmentation

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