Temporal feature vector for video analysis and retrieval in high efficiency video coding compressed domain
F. Rahmani, Farzad Zargari · Electronics Letters · 2018
A new feature vector based on motion structure of video sequences is proposed which can be used independently or along with motion vectors in video analysis and retrieval applications. The proposed feature vector employs size of prediction units (PUs) in P and B frames of high efficiency video coding (HEVC) coded videos. The feature vector can be extracted by partial decoding of compressed video in the same decoding stage as motion vectors. Video retrieval application is selected to evaluate the performance of the new feature vector. In experimental evaluations, the proposed temporal feature vector independently shows on average 12% improvement in performance against motion vectors and by using it along with motion vectors, the performance of motion vector improves on average by 32% in average normalised modified retrieval rank (ANMRR) measure.