In this paper, we specifically propose the Weber-Fechner Law-based human attention model for semantic scene analysis in movies. Different from traditional video processing techniq...
Anan Liu, Yongdong Zhang, Yan Song, Dongming Zhang...
Study of protein interaction networks is crucial to post-genomic systems biology. Aided by highthroughput screening technologies, biologists are rapidly accumulating protein-prote...
Jake Yue Chen, Andrey Y. Sivachenko, Russell Bell,...
This paper presents a low cost real-time alternative to available commercial human motion capture systems. First, a set of distinguishable markers are placed on several human body...
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...