To bridge the gap between the high resolution digital images and limited display capability of mobile devices, this paper proposes a method to automatically transform static image...
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...
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval. A comprehensive ...
Peter G. B. Enser, Christine J. Sandom, Paul H. Le...
We introduce an image retrieval method for searchingan image database by using a query image that has similarity in its global and/or regional image contents to the intended targe...
When considering the problem of audio-to-audio matching, determining musical similarity using low-level features such as Fourier transforms and MFCCs is an extremely difficult ta...