Video genre identification methods are frequently based on image or motion analysis, which are relatively timeconsuming processes. Since such approaches are tractable by batch pro...
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
This paper describes an efficient method to obtain 3D information by using spatio-temporal analysis of omni images for outdoor navigation and map-making in the intelligent transpo...
Text detection plays a vital role in retrieving and browsing video data efficiently and accurately. In this paper, we propose a method for detecting both graphics and scene text i...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...