We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
Image data is as common as textual data in this digital world. There is an urgent demand of image management tools as efficient as those text search engines. Decades of research on...