Abstract
A video search method is one of essential technologies in video content distribution systems. This study specially focusses on video identification as video search methods. A video identification method using the histogram of quantized motion vectors had been studied previously. However, it has some problems for the search speed because of a huge amount of characteristics. Thus, for the purpose of the higher speed for that method, this paper proposes video identification methods using the histogram based on each norm and motion direction group calculated from coded motion vectors. Moreover, the high-speed scheme, which uses each histogram step-by-step, is proposed. First, we considered the accuracy of identification in method (b) by the simulation experiments, and it was defined as highest accuracy to be satisfied. We confirmed that method (c) and (d) were able to identify the video queries, which have a number of unique features. By the evaluation experiments for the high-speed, we could also understand that proposed method (e) was about maximum 2.27 times faster than method (b) in the same accuracy as it, and consider about the efficiency of the speed-up as video retrieval methods and their applications. As further study, we will consider the proposed method for large-scale video contents DB in detail.
