"This book has evolved from materials used in an undergraduate course intended for final year undergraduate students whose background includes at least one year's experie...
Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
The problem of inferring 3D orientation of a camera from video sequences has been mostly addressed by first computing correspondences of image features. This intermediate step is ...
We describe a "constant pace" framework for video summarization via fast playback or temporal subsampling. The pace of the summary serves as a parameter that enables pro...