Object detection and localization in compressed video
We study the problem of detecting and localizing objects that are embedded in compressed video sequences. Such a capability has two major and increasingly important practical uses: (1) video surveillance; (2) identification of copyright infringement. We focus here only on the problem of video surveillance. As a general rule, detection and localization of patterns is most efficiently performed in a
