Computer vision researchers have recently proposed several local descriptor schemes. Due to lack of database support, however, these descriptors have only been evaluated using sma...
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
In this paper, we introduce a novel Trademark Application Assistant (TAST) that aims to speed up the process of a successful trademark application. The core of TAST is a web-brows...
Paul Wing Hing Kwan, Kazuo Toraichi, Keisuke Kamey...