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Proceedings Paper

Video retrieval by still-image analysis with ImageMiner
Author(s): Jutta Kreyss; M. Roeper; Peter Alshuth; Thorsten Hermes; Otthein Herzog
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Paper Abstract

The large amount of available multimedia information (e.g. videos, audio, images) requires efficient and effective annotation and retrieval methods. As videos start playing a more important role in the frame of multimedia, we want to make these available for content-based retrieval. The ImageMiner-System, which was developed at the University of Bremen in the AI group, is designed for content-based retrieval of single images by a new combination of techniques and methods from computer vision and artificial intelligence. In our approach to make videos available for retrieval in a large database of videos and images there are two necessary steps: First, the detection and extraction of shots from a video, which is done by a histogram based method and second, the construction of the separate frames in a shot to one still single images. This is performed by a mosaicing-technique. The resulting mosaiced image gives a one image visualization of the shot and can be analyzed by the ImageMiner-System. ImageMiner has been tested on several domains, (e.g. landscape images, technical drawings), which cover a wide range of applications.

Paper Details

Date Published: 15 January 1997
PDF: 9 pages
Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); doi: 10.1117/12.263430
Show Author Affiliations
Jutta Kreyss, Univ. Bremen (Germany)
M. Roeper, Univ. Bremen (Germany)
Peter Alshuth, Univ. Bremen (Germany)
Thorsten Hermes, Univ. Bremen (Germany)
Otthein Herzog, Univ. Bremen (Germany)


Published in SPIE Proceedings Vol. 3022:
Storage and Retrieval for Image and Video Databases V
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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