Video quality assessment based on data hiding driven by optical flow information
Mylène C. Q. Farias, Marco Carli, Alessandro Neri, Sanjit K. Mitra · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
In this paper, a new no reference metric for video quality assessment is presented. The proposed metric provides a measure of the quality of a video based on a feature that we believe is relevant for the human observers: the motion. The metric is based on an unconventional use of a data hiding system. The mark is inserted in specific areas of the video using a fragile embedding algorithm. The exact embedding location is determined by the amount of motion between pairs of consecutive frames. The mark is embedded exclusively into 'moving areas' of the video. At the receiver, the mark is extracted from the decoded video and a quality measure of the video is estimated by evaluating the degradation of the extracted mark. Simulation results indicate that the proposed quality metric is able to assess the quality of videos degraded by compression.