Abstract:

Video synopsis is an effective technique for surveillance video browsing and storage. Existing video synopsis generation methods are prone to cause rearrangement objects collision and chronological disorder under the limitation of compression ratio. To solve this problem, a video synopsis generation model incorporating object speed change mechanism is proposed in this study. In the energy function of object rearrangement, object speed variable is added in addition to object start position variable, so that object start position and speed can be changed simultaneously to avoid collision and chronological disorder problems. Then the Markov chain Monte Carlo random sampling algorithm is used to solve the optimal value of the energy function, and the optimal solution of the target rearrangement scheme is obtained. Experiments show that when the compression rate is the same, compared with other methods, the summary video generated by the proposed model has fewer problems with target collision and timing disorder.

Key words: video synopsis, object speed, Monte Carlo sampling, object collision, object rearrangement, surveillance video, energy function, Poisson editing