The Video Genome

Fast evolution of Internet technologies has led to an explosive growth of video data available in the public domain and created unprecedented chal-lenges in the analysis, organization, management, and control of such con-tent. The problems encountered in video analysis such as identifying a video in a large database (e.g. detecting pirated content in YouTube), putting to-gether video fragments, finding similarities and common ancestry between different versions of a video, have analogous counterpart problems in ge-netic research and analysis of DNA and protein sequences. In this paper, we exploit the analogy between genetic sequences and videos and propose an approach to video analysis motivated by genomic research. Representing video information as video DNA sequences and applying bioinformatic algo-rithms allows to search, match, and compare videos in large-scale databases. We show an application for content-based metadata mapping between ver-sions of annotated video. ar X i