See:

Koen E. A. van de Sande, Theo Gevers and Cees G. M. Snoek, Evaluating Color Descriptors for Object and Scene Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 32 (9), pages 1582-1596, 2010. [PDF] [BibTeX]

for an evaluation of color descriptors carried out using this software. The paper provides a structured overview of color invariant descriptors in the context of image category recognition. The distinctiveness of color descriptors is assessed experimentally using two benchmarks from the image domain (PASCAL VOC 2007) and the video domain (Mediamill Challenge).

Besides our evaluation, these color descriptor have proven to be highly effective under many circumstances. See also our performance in the TRECVID 2008/2009 video retrieval benchmark, the ImageCLEF 2009 photo annotation task and our winning position (UvA submission = color descriptors + machine learning techniques) in the PASCAL VOC 2008 object classification competition. View our presentation at the PASCAL VOC 2008 workshop for additional information.

ColorDescriptor software overview

 

Readme First

Koen E. A. van de Sande, Theo Gevers and Cees G. M. Snoek, Evaluating Color Descriptors for Object and Scene Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 32 (9), pages 1582-1596, 2010. [PDF] [BibTeX]

Readme Second (Preferred Citation)

Koen E. A. van de Sande, Theo Gevers and Cees G. M. Snoek, Empowering Visual Categorization with the GPU, IEEE Transactions on Multimedia volume 13 (1), pages 60-70, 2011. [PDF] [BibTeX]

The download includes binaries for the following platforms:

 

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