ONLINE, SIMULTANEOUS SHOT BOUNDARY DETECTION AND KEY FRAME EXTRACTION FOR SPORTS VIDEOS USING RANK TRACING

被引:40
作者
Abd-Almageed, Wael [1 ]
机构
[1] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA
来源
2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年
关键词
Video summarization; shot detection; Singular Value Decomposition;
D O I
10.1109/ICIP.2008.4712476
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a novel algorithm for simultaneously detecting shot boundaries and extracting key frames from video sequences or streams in real-time. Multivariate feature vectors are extracted from the video frames and arranged in a feature matrix. Singular value decomposition is then used to factorize the feature matrix and compute the significant singular vectors. The rank of the singular vectors is traced using a sliding window approach. By tracing the computed rank, we are able to determine shot boundaries and extract key frames of the video. Results of experiments conducted on soccer videos show that the algorithm is robust to a wide range of digital effects used during shot transition. Moreover, the algorithm is shown to run in real time making it suitable for online video summarization and multimedia networking applications.
引用
收藏
页码:3200 / 3203
页数:4
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