Paper
31 July 2002 Supervised clustering-algorithm-based visual information features classification
Yuan Yuan, Nenghai Yu, Xuelong Li, Dacheng Tao, Zhengkai Liu
Author Affiliations +
Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477206
Event: Second International Conference on Image and Graphics, 2002, Hefei, China
Abstract
An intelligent image-indexing algorithm is proposed in this paper. It based on knowledge extracted from some simple single low-level image features. Two independent large image databases are built with more than 12000 images for training and test, and the experimental results show it work efficiently for high dimension database indexing. The running time is shorter than other algorithms proposed for the same purpose, and the algorithm performs even better for some certain semantic image classifications.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan Yuan, Nenghai Yu, Xuelong Li, Dacheng Tao, and Zhengkai Liu "Supervised clustering-algorithm-based visual information features classification", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477206
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Cited by 1 scholarly publication.
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KEYWORDS
Feature extraction

Information visualization

Databases

Image classification

Image retrieval

Visualization

Quantization

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