Compressed Domain Motion Analysis for Video Semantic Events Detection

被引：3
|
作者：
Tao, Kun [1 ]
Lin, Shouxun [2 ]
Zhang, Yongdong [2 ]
机构：
[1] Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
来源：
2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I | 2009年
关键词：
compressed domain; motion analysis; object segmentation; semantic event; mpeg; SEGMENTATION; MODELS;
D O I：
10.1109/ICIE.2009.211
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel approach is proposed to estimate camera motion and segment moving objects from compressed video streams, aiming to detect semantic events in video clips. Simultaneously using the motion vectors and DC components of MPEG macroblocks (MB), the camera motion type and motion parameters of each frame are estimated with simplified models. Then the segmentation of moving objects is done at macroblock level. Exploring the variation of motion information in consecutive frame sequence, a composite feature can be formed to detect semantic events. The experiment results on TRECVID video corpus show that our approach is very effective and efficient.
引用
收藏
页码：201 / +
页数：2
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