It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
living-room is an augmented reality (AR) installation developed to study interactive, space-oriented AR-scenarios. The installation consists of the living-room box, a room that is...
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
This technical demonstration shows that content-based networking is a promising technology for multireceiver video streaming. Each video receiver is provided with fine grained se...
Bio-Fi is a collection of art projects undertaken by S.W.A.M.P. (Studies of Work Atmospheres and Mass Production), collaborative art projects by Douglas Easterly and Matt Kenyon. ...
This paper deals with phrase structure detection in contemporary western dance. Phrases are a sequence of movements that exist at semantic abstraction than gestures. The problem i...
Vidyarani M. Dyaberi, Hari Sundaram, Jodi James, G...
News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots t...
Content based retrieval of similar multimedia objects (e.g. images, text, and videos) is an important research issue in the field of multimedia database. In this demo, we present ...
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...