Video index and search services based on content identification features
March 31, 2008
In this paper we examine the methodology, architectural issues and preliminary statistical results for identifying the presence and position of a given query clip within a massive collection of video content. This work is part of the European Union FP6 IST Programme project DIVAS (Direct Video & Audio Content Search Engine). The concept is applicable to a number of use cases ranging from video clip search into large repositories, to DRM and content policing in the internet.