Video query formulation
Gulrukh Ahanger, Dan Benson, Thomas D. C. Little · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
For developing advanced query formulation methods for general multimedia data, we describe the issues related to video data. We distinguish between the requirements for image retrieval and video retrieval by identifying queryable attributes unique to video data, namely audio, temporal structure, motion, and events. Our approach is based on visual query methods to describe predicates interactively while providing feedback that is as similar as possible to the video data. An initial prototype of our visual query system for video data is presented.