Motion texture: a new motion based video representation

Motion is an important cue for video content perception. However, the lacking of effective motion representation becomes a barrier for automatic video content analysis. In this paper, we propose a new motion descriptor to capture motion pattern from video clip. First, we transform motion vector field to a number of directional slices of energy. Then, these slices are measured by a set of moments. As a result, a multi-dimensional vector, called motion texture, is formed The effectiveness and efficiency of the proposed representation had been validated by motion-based shot retrieval experiments.