We present a biologically-motivated system for the recognition of actions from video sequences. The approach builds on recent work on object recognition based on hierarchical feed...
Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso Po...
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
This paper proposes the variable block-size transform and context-based entropy coding techniques for the enhancement layer of FGS (Fine Granularity Scalable) video coding. First,...
We present a robust and portable visual-based skin and face detection system developed for use in a multiple speaker teleconferencing system, employing both audio and video cues. ...
Bill Kapralos, Michael R. M. Jenkin, Evangelos E. ...
—With the development of improved and cost-effective technologies, it is now possible to detect thousands of metabolites in biofluids or specific organs, and reliably quantify th...
Ali Cakmak, Arun Dsouza, Richard Hanson, Gultekin ...