2008Unpublished venueRequires access

6. Image retrieval

Henning Müeller, Thomas Deselaers

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Abstract

Image retrieval has been receiving increasing interest due to the vast amount of images publicly available on the Internet. Most image sharing sites, such as FlickR, allow for text/tag-based image searching. In the research community, content-based image retrieval has been under investigation since the early 1990s. The tutorial will give show approaches to fusing the efforts from content-based image retrieval with the available text-based image searching solutions, including multi-lingual approaches. Therefore, a short introduction into content-based image retrieval and text-retrieval will be given. Different approaches to fusing these will be discussed and further topics such as user-interaction, retrieval system architecture, and benchmarking issues will be presented.

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What this paper is about

Image retrieval has been receiving increasing interest due to the vast amount of images publicly available on the Internet. Most image sharing sites, such as FlickR, allow for text/tag-based image searching. In the research community, content-based image retrieval has been under investigation since the early 1990s. The tutorial will give show approaches to fusing the efforts from content-based image retrieval with the available text-based image searching solutions, including multi-lingual approaches. Therefore, a short introduction into content-based image retrieval and text-retrieval will be given. Different approaches to fusing these will be discussed and further topics such as user-interaction, retrieval system architecture, and benchmarking issues will be presented.

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Available abstract

Image retrieval has been receiving increasing interest due to the vast amount of images publicly available on the Internet. Most image sharing sites, such as FlickR, allow for text/tag-based image searching. In the research community, content-based image retrieval has been under investigation since the early 1990s. The tutorial will give show approaches to fusing the efforts from content-based image retrieval with the available text-based image searching solutions, including multi-lingual approaches. Therefore, a short introduction into content-based image retrieval and text-retrieval will be given. Different approaches to fusing these will be discussed and further topics such as user-interaction, retrieval system architecture, and benchmarking issues will be presented.

Key concepts: Image retrieval, Computer science, Information retrieval, Automatic image annotation, Visual Word, Content-based image retrieval, Image (mathematics), Benchmarking

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