Paper
20 December 1999 Image indexing based on the genealogical relation of TSVQ indices
Jamshid Shanbehzadeh, Amir Masoud Eftekhary Moghadam, Abdolhosain Sarafzadeh, Fariborz Mahmoudi, Neda Mashatan
Author Affiliations +
Proceedings Volume 3964, Internet Imaging; (1999) https://doi.org/10.1117/12.373451
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
The indices obtained from tree-structured vector quantization have two capabilities. First, they can provide image with different resolutions which gives an hierarchical order image based on the closeness of image blocks. Second, image blocks indices, depending on the tree depth, give the characteristics of neighboring pixels of an image. These indices characteristics have ben used in generating a feature vector which shows the image clusters in different resolutions with the capability of giving information about the neighboring pixels characteristics including edges or smooth image areas. This method has been compared with other previous image retrieval scheme based on vector quantization.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jamshid Shanbehzadeh, Amir Masoud Eftekhary Moghadam, Abdolhosain Sarafzadeh, Fariborz Mahmoudi, and Neda Mashatan "Image indexing based on the genealogical relation of TSVQ indices", Proc. SPIE 3964, Internet Imaging, (20 December 1999); https://doi.org/10.1117/12.373451
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KEYWORDS
Image retrieval

Image compression

Image resolution

Feature extraction

Quantization

Databases

Image processing

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