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...
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
Retrieving images by content and forming visual queries are important functionality of an image database system. Using textual descriptions to specify queries on image content is ...
David Wai-Lok Cheung, Chi-Hung Lee, Vincent T. Y. ...
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
Over the past several years, our team has focused its efforts on improving retrieval precision performance by mixing visual and textual information. This year, we chose to explore ...