Multimedia retrieval is going to play an increasingly important role in the future. Since the availability of digital media seems ever rising, not only the retrieval performance i...
We propose a new image retrieval method based on human perceptual clustering of color images. This color clustering produces for each image a small set of representative colors wh...
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
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...
One of the major problems in CBIR is the so-called `semantic gap': the difference between low-level features, extracted from images, and the high-level `information need'...
Walter ten Brinke, David McG. Squire, John Bigelow