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...
A search engine that can handle TV programs and Web content in an integrated way is proposed. Conventional search engines have been able to handle Web content and/or data stored i...
This work achieves full registration of scenes in a large area and creates visual indexes for visualization in a digital city. We explore effective mapping, indexing, and display ...
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...
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...