Finding the chameleon in your video collection

We present a novel content-based video retrieval tool that facilitates interactive search in large video archives by focusing on the factors content context and content dynamics. It incorporates query-by-concept and query-by-sketch functionality. For the latter we introduce temporal feature signatures - an extension to color feature signatures by adding the dimension of content dynamics over time. Moreover, temporal feature signatures are also used for performing segment similarity searches for improved matching performance in contrast to static solutions. Because of intelligent caching this process is performed in just a couple of seconds, which improves the overall user experience greatly. Found segments can also be easily displayed in their chronological context for refining the search. To better visualize the content dynamics of a video segment users just need to move their mouse cursor across a segments thumbnail to peek into its content.