The Informedia Digital Video Library contains over 2000 hours of video, growing at a rate of 15 hours per week. A good query engine is not sufficient for information retrieval bec...
We introduce a novel video stylisation framework based on decomposing the video volume into 3D Voronoi cells. Colour samples are taken for each cell in a video, leading to an effi...
As amounts of publicly uvuiluble video dutu grow, the need to query this dutu efficiently becomes signijcunt. Consequently, content-bused retrievul of video datu turns out to be U...
In this demonstration we present SHIATSU, an automatic semantic-based video tagging system which relies on shot boundary detection and hierarchical annotation. More in details, in...
We present a novel Content Based Video Retrieval (CBVR) system, driven by free-hand sketch queries depicting both objects and their movement (via dynamic cues; streak-lines and ar...