期刊論文

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; Chi-Fang Hsieh
單位
出版者
著錄名稱、卷期、頁數 Multimedia Tools & Applications 75(16), p.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