VIDEO RETRIEVAL ALGORITHM BASED ON VIDEO FINGERPRINTS AND SPATIOTEMPORAL INFORMATION

被引：0
|
作者：
Liu Wei [1 ]
Jia Kebin
Wang Zhuozheng
Feng Jinchao
机构：
[1] Beijing Univ Technol, Pilot Coll, Beijing, Peoples R China
来源：
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2014年
关键词：
content-based information retrieval; video retrieval; video fingerprints; keyframes density;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A video retrieval Algorithm based on video fingerprints and spatiotemporal information is proposed in this paper to solve the problem which is brought by the whole drift of brightness, interference of abnormal point and video re-editing. Firstly, the video fingerprints feature is extracted by frame segmentation. Then an improved direct timing algorithm is used to eliminate the interference of brightness drift. Finally, the concept of keyframes density is introduced to eliminate the time span problem caused by video re-editing. Experiment results show that the algorithm can effectively solve these problems with good robustness, low computational burden, and high recall rate and precision.
引用
收藏
页码：1321 / 1325
页数：5
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