We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
Due to rapid advances in video technology and biomedicine, there has been a tremendous growth in the volume of medical video data for recent years. Exploring the full potential of...
Shih-Hsi Liu, Yu Cao, Yili Li, Ming Li, Sanqing Hu
We present an interactive and multi-level abstraction framework for user-generated video (UGV) summarisation, allowing a user the flexibility to select a summarisation criterion ...
—This paper proposes a keyframe-based video object editing scheme for automatic object shape deformation. Except for object segmentation, several technologies are developed in th...
Yanlin Weng, Weiwei Xu, Shichao Hu, Jun Zhang, Bai...
Heterogeneous multi-core processors are attractive for power efficient computing because of their ability to meet varied resource requirements of diverse applications in a workloa...