Paper
10 January 2003 Image Similarity Measures for Video Processing
Author Affiliations +
Proceedings Volume 5018, Internet Imaging IV; (2003) https://doi.org/10.1117/12.476177
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
It is obvious that image histograms are of very limit use in video analysis. For example, two images containing the same objects at different positions are mapped to the same histograms. We show that a simple extension of image histograms to include the position information of the centroids of histograms bins leads to a useful representation for video analysis. This extension must be done carefully in order to obtain a representation that is stable with respect to noise. Moreover, the carefully extended histograms also add stability and reliability to the retrieval of still images.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Longin Jan Latecki "Image Similarity Measures for Video Processing", Proc. SPIE 5018, Internet Imaging IV, (10 January 2003); https://doi.org/10.1117/12.476177
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Video

Image retrieval

Composites

Video processing

RGB color model

Stars

Image analysis

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