S.F. Chang, W. Chen, H. Meng, H. Sundaram, D. Zhong. An Automatic Content-Based Video Search System Using Visual Cues . In Proc. of the 5th ACM Multimedia Conference, pp. So, what is needed are retrieval techniques that act directly on the video content. A widely accepted first step towards content based retrieval is feature extraction.
Features are interpretation independent characteristics.
Examples are pitch and noise for audio, and color histogram and shape for images. An automatic content based video search system using visual cues . First a video movie is partitioned into shots or scenes. However, all these systems support retrieval of still images. Related is also research in the area of spatiotemporal database indexing.