Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is ...
This paper presents a face detection technique and its applications in image retrieval. Even though this face detection method has relatively high false positives and low detectio...
State-of-the-art image retrieval systems achieve scalability by using bag-of-words representation and textual retrieval methods, but their performance degrades quickly in the face...
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
The CLEF Interactive Track (iCLEF) is devoted to the comparative study of userinclusive cross-language search strategies. In 2005, we have studied two cross-language search tasks:...