Relevance feedback (RF) has been an active research area in Content-based Image Retrieval (CBIR). RF intends to bridge the gap between the low-level image features and the high-le...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
Conventional image processing algorithms used to compare images are very timeconsuming, making them inappropriate for use in searching for an image in a huge collection of images ...
Caetano Traina Jr., Agma J. M. Traina, Rildo R. do...
In this paper we describe a system that allows users to annotate digital photos at the time of capture. The system uses camera phones with a lightweight client application and a s...
Anita Wilhelm, Yuri Takhteyev, Risto Sarvas, Nancy...
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 Scene Structural Matrix (SSM), a novel image content descriptor and its application to invariant image retrieval. The SSM captures the overall structural characterist...