This work addresses the challenge of extracting structure in educational and training media based on the type of material that is presented during lectures and training sessions. ...
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...
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Image inpainting involves filling in part of an image or video using information from the surrounding area. Applications include the restoration of damaged photographs and movies ...
A. L. Bertozzi, Guillermo Sapiro, Marcelo Bertalm&...
We introduce a new representation for video which facilitates a number of common editing tasks. The representation has some of the power of a full reconstruction of 3D surface mod...
Alex Rav-Acha, Pushmeet Kohli, Carsten Rother, And...