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Salient Regions for Query by Image Content

Hare, Jonathon S. and Lewis, Paul H., Enser, Peter, Kompatsiaris, Yiannis and O'Connor, Noel E.(eds.) (2004) Salient Regions for Query by Image Content Lecture Notes in Computer Science, 3115 /, pp. 317-325.

Record type: Article


Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insufficient to accurately describe the image content when different parts of the image have different characteristics. This paper discusses how this problem can be circumvented by using salient interest points and compares and contrasts an extension to previous work in which the concept of scale is incorporated into the selection of salient regions to select the areas of the image that are most interesting and generate local descriptors to describe the image characteristics in that region. The paper describes and contrasts two such salient region descriptors and compares them through their repeatability rate under a range of common image transforms. Finally, the paper goes on to investigate the performance of one of the salient region detectors in an image retrieval situation.

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Published date: July 2004
Keywords: Computer Vision, Content-based Image Retrieval, Salient Regions
Organisations: Web & Internet Science


Local EPrints ID: 259336
ISSN: 0302-9743
PURE UUID: 7eff1c59-dbc5-4e7a-a031-20ef7ff2198c
ORCID for Jonathon S. Hare: ORCID iD

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Date deposited: 19 Jul 2004
Last modified: 18 Jul 2017 09:23

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Author: Paul H. Lewis
Editor: Peter Enser
Editor: Yiannis Kompatsiaris
Editor: Noel E. O'Connor

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