An algorithm is presented that automatically matches images of presentation slides to the symbolic source file (e.g., PowerPointTM or AcrobatTM ) from which they were generated. T...
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Ana Beatriz V. Graciano, Roberto Marcondes Cesar J...
We propose an adaptive ltering approach for coding video that exhibits localized camera focus changes, e.g., such that different portions of a video frame can undergo different bl...
PoLin Lai, Yeping Su, Peng Yin, Cristina Gomila, A...
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...
Le Xin, Qiang Wang, Jianhua Tao, Xiaoou Tang, Tien...