In this study, an effective foreground/background segmentation approach for bootstrapping video sequences is proposed. First, a modified block representation approach is used to c...
In this paper, we propose a novel and robust method for extracting motion layers in video sequences. Taking advantage of temporal continuity, our framework considers both the visi...
In this paper, a novel statistical framework is proposed for shot segmentation and classification. The proposed framework segments and classifies shots simultaneously using same di...
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
This paper addresses the reconstruction of 3 0 human body models fram Z D video sequences. Considering that the input frames are already segmented, the proposed technique consists...