Eva: an evaluation tool for comparing descriptors in content-based image retrieval tasks
Proceedings of the international conference on Multimedia information retrieval
User-oriented evaluation of color descriptors for web image retrieval
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Comparative study of global color and texture descriptors for web image retrieval
Journal of Visual Communication and Image Representation
Multimodal re-ranking of product image search results
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
A new content-based image retrieval technique using color and texture information
Computers and Electrical Engineering
Content-based image retrieval by integrating color and texture features
Multimedia Tools and Applications
Multimodal retrieval with relevance feedback based on genetic programming
Multimedia Tools and Applications
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This paper presents a comparative study of color descriptors for content-based image retrieval on the Web. Several image descriptors were compared theoretically and the most relevant ones were implemented and tested in two different databases. The main goal was to find out the best descriptors for Web image retrieval. Descriptors are compared according to the extraction and distance functions complexities, the compactness of feature vectors, and the ability to retrieve relevant images.