Video Repeat Recognition and Mining by Visual Features-Reference-Cited by-同舟云学术

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Video Repeat Recognition and Mining by Visual Features

Published:2010 Issue: Volume: Page:305-326
ISSN:1860-949X
Container-title:Video Search and Mining
language:
Short-container-title:

Author:

Yang Xianfeng,Tian Qi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-12900-1_12.pdf

Reference22 articles.

1. Yang, X., Xue, P., Tian, Q.: A repeated video clip identification system. In: Proc. ACM Multimedia, Singapore (2005)

2. Yang, X., Tian, Q., Xue, P.: Efficient Short Video Repeat Identification With Application to News Video Structure Analysis. IEEE Trans. Multimedia 9, 600–609 (2007)

3. Cheung, S.-C., Ngueyen, T.P.: Mining Arbitrary-length Repeated Patterns in Television Broadcast. In: Proc. IEEE Int. Conf. on Image Processing (2005)

4. Lienhart, R., Kuhmunch, C., Effelsberg, W.: On the detection and Recognition of Television Commercials. In: Proc. IEEE Int. Conf. Multimedia Computing and Systems (1997)

5. Snchez, J.M., Binefa, X., Vitri, J.: Shot partitioning based recognition of TV commercials. Multimedia Tools and Applications 18, 233–247 (2002)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Significant Changes in Image Sequences;Computer Vision;2018

2. Detecting Significant Changes in Image Sequences;Handbook of Research on Machine Learning Innovations and Trends;2017

3. Detecting Significant Changes in Image Sequences;Intelligent Systems Reference Library;2016-10-18

4. Key Frame Extraction from Video;International Journal of Computer Vision and Image Processing;2014-07

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