Rotation and flipping robust region binary patterns for video copy detection

• We propose a rotation and flipping robust region binary pattern (RFR).
• Distances of the proposed RFR are quickly computed from a pre-defined distance matrix.
• The proposed RFR can have various size and patterns according to sub-areas in a ring on image.
• We provide results comparing the state-of-the arts for video copy detection.

Many video fingerprints have been proposed to handle the video transformations problems when the original contents are copied and redistributed. However, most of them did not take into account flipping and rotation transformations. In this paper, we propose a novel video fingerprint based on region binary patterns, aiming to realize robust and fast video copy detection against video transformations including rotation and flipping. We extract two complementary region binary patterns from several rings in keyframes. These two kinds of binary patterns are converted into a new type of patterns for the proposed video fingerprint which is robust against rotation and flipping. The experimental results demonstrated that the proposed video fingerprint is effective for video copy detection particularly in the case of rotation and flipping. Furthermore, our experimental results proved that the proposed method allows for high storage efficiency and low computation complexity, which is suitable for practical video copy system.