Content-based Video Signatures based on Projections of Difference Images

We propose a novel video signature extraction method based on projections of difference images between consecutive video frames. The difference images are projected onto random basis vectors to create a low dimensional bitstream representation of the active content (moving regions) between two video frames. A sequence of these signatures serves to identify the underlying video content in a robust manner. Our experimental results show that the proposed video signature is robust to most common signal processing operations on video content such as compression, resolution scaling, brightness scaling.