Compressed signature for video identification

This paper presents a new application-specific lossless compression scheme developed for video identification descriptors, also known as video fingerprints or signatures. In designing such a descriptor, one usually has to balance the descriptor size against discriminating power and temporal localisation performance. The proposed compression scheme alleviates this problem by efficiently exploiting the temporal redundancies present in the video fingerprint, allowing highly accurate fingerprints which also entail low transmission and storage costs. In this paper we provide a detailed description of our compression scheme and a comparative evaluation against well known state-of-the-art generic compression tools.