Video indexing using motion vectors

This paper presents a video indexing method that uses motion vectors to 'identify' video sequences. To visualize and interactively control video sequences, we propose a new video index and corresponding icons. The index is based on the identification of discrete cut points and camera operations made possible by analyzing motion vectors. Simulations and experiments confirm the practicality of the index and icons.