EVENT CLUSTERING OF DIGITAL MEDIA IN PERSONAL MOBILE DEVICE BASED ON SPATIO-TEMPORAL CLUSTERING
In this paper, we intended to seek a method to retrieval media files on personal mobile devices efficiently. We aimed at finding media-generated event accurately to provide support for annotation and retrieval of multimedia files. In this paper, the event-cluster positioning is realized by spatiotemporal clustering. Time clustering uses a method that maps the time difference to image, and then finds the corresponding boundary points through image processing. We improved the original time clustering algorithm by considering the semantic of “event, and amended potential errors in time clustering by the adaptive space clustering algorithm. At last, we proposed a new method to find a more abstract activities topic by merging events of certain conditions according to users usage habit.
multimedia retrieval event cluster spatio-temporal clustering temporal cluster spatial correction native and foreign event
Yi Sun Wendong Wang Xiangyang Gong Canfeng Chen Xiaogang Yang Jian Ma
The State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Tele The State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Tel
国际会议
北京
英文
1115-1119
2010-10-26(万方平台首次上网日期,不代表论文的发表时间)