In this paper, we propose and implement a World Wide Web based video query system: The Intelligent Multimedia Information Processing System (IMIPS). The IMIPS first collects videos available over the WWW, analyzes these videos to extract keyframes, and indexes these keyframes at a local database. By using the proposed Multiple-Instance learning algorithm, a user can select a few keyframes to train a desired image query model. When a query model is selected, the proposed IMIPS will retrieve matched images from the local database, and display them as a small icon at the user interface. Then a user can click on the interested icon to retrieve and to play the video from the original web site. According to the implemented prototype system, a user can find one's desired videos on the WWW with only a few (2-3) times of retraining to achieve 70% hit rate on 50 retrieved videos among 5 different query models.
|Number of pages||4|
|State||Published - 1 Dec 2000|
|Event||2000 IEEE International Conference on Multimedia and Expo (ICME 2000) - New York, NY, United States|
Duration: 30 Jul 2000 → 2 Aug 2000
|Conference||2000 IEEE International Conference on Multimedia and Expo (ICME 2000)|
|City||New York, NY|
|Period||30/07/00 → 2/08/00|