In this paper we present FIRE, a content-based image retrieval system and the methods we used in the ImageCLEF 2004 evaluation. In FIRE, different features are available to repre...
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
Abstract. Content-based image search has long been considered a difficult task. Making correct conjectures on the user intention (perception) based on the query images is a critica...
Compressed domain image retrieval allows image indexing to be performed directly on the compressed data without the need of decoding. This approach hence provides a significant ga...
Image annotation has been an active research topic in recent years due to its potentially large impact on both image understanding and Web image search. In this paper, we target a...
Xirong Li, Le Chen, Lei Zhang, Fuzong Lin, Wei-Yin...