教師資料查詢 | 類別: 期刊論文 | 教師: 江正雄 CHIANG JEN-SHIUN (瀏覽個人網頁)

標題:Low-complexity range tree for video synopsis system
學年105
學期1
出版(發表)日期2016/08/01
作品名稱Low-complexity range tree for video synopsis system
作品名稱(其他語言)
著者Chih-Hsien Hsia, Jen-Shiun Chiang, and Chi-Fang Hsieh
單位
出版者
著錄名稱、卷期、頁數Multimedia Tools and Applications, vol. 75, no. 16, , pp. 9885-9902
摘要This work proposes an efficient video retrieval technique for video synopsis. In a video system, the Region of Interest (ROI) should be extracted in a long video effectively such that users can browse it quickly and easily. Focusing on the characteristics of objects in the foreground of real-world video sequences, this work employs the Gaussian Mixture Model (GMM) and color-histograms for object detection. In order to reduce the search time, a new video synopsis search approach, a low-complexity range tree algorithm, is proposed to improve the effectiveness of searches for objects of interest matching pre-set conditions. With the time and space redundancy-reducing techniques of video synopsis, the objects of interest can be displayed within a short time. Objects and events can be found and displayed quickly without allocating time to watching non-ROIs. For the test video sequences, the results show an accuracy rate of 97 % and a processing speed of 32 FPS (frames per second) in the online phase, and the time complexity of object searching is reduced from O(N) to O(logD-1N).
關鍵字Object detection; Video retrieval system; Gaussian mixture model; Low-complexity range tree; Video synopsis system
語言英文(美國)
ISSN
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,紙本
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