Paper
5 October 1998 Matching pursuit: contents featuring for image indexing
Yong Man Ro
Author Affiliations +
Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325855
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
We proposed an image featuring technique for image indexing. To achieve image indexing, the matching pursuit algorithm is employed. Image domain is classified into several groups, which are determined by atoms in the dictionary of matching pursuit algorithm. Since the image is decomposed into groups of atoms the atoms can describe the contents of image. In this paper, a fast matching-pursuit of image in Radon space (RMP) is proposed. Further a content featuring algorithm by RMP with the dictionary consisting of Gabor functions is proposed. Texture and color featuring are shown as examples of content featuring. The computer simulations and their corresponding experimental results show that the proposed method can achieve contents featuring as well as image compression.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Man Ro "Matching pursuit: contents featuring for image indexing", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325855
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Cited by 5 scholarly publications.
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KEYWORDS
Chemical species

Image compression

Radon

Associative arrays

Multimedia

Image retrieval

Clouds

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