Fast Feature-based Video Segmentation and Annotation

We present a method of segmenting video to detect cuts with accuracy equal to or better than both histogram and other feature based methods. As well, the method is faster than other feature based methods. By utilizing feature tracking on comers, rather than lines, we are able to relia-bly detect features such as cuts, fades and salient frames. Experimental evidence shows that the method is able to withstand high motion situations better than existing methods. Initial implementations using full sized video frames are able to achieve processing rates of 10-30 6ames per second depending on the level of motion and number of features being tracked; this includes the time to generate the MPEG decompressed frames.