A simplified ordinal-based method for video signature

In this paper, we propose an algorithm for video signature using music videos and news video for our study. The algorithm was developed based on our earlier work with an improvement (reducing the steps) on the process of generating video signature. Thus, revised process reduces the amount of processing time needed tremendously. In addition, besides color as a feature, we introduce the addition of a face feature to improve the system performance for video matching. For our experimental set up, most conditions met the requirements set forth by MPEG standardization on visual signature tools. Initial results show that the algorithm is effective and robust to several transformations such as color change, brightness change, the addition of Gaussian noise, and resolution reduction.