Abstract
This paper demonstrates a novel retrieval and browsing system based on moving objects for surveillance video. Under the pressure of digital video surveillance generalization, massive data with ever-increasing volume has been involved. How to effectively and efficiently employ the surveillance videos is strategically important in practical applications. In order to improve the availability of videos, intelligent applications contain object extraction, video indexing, video retrieval, and fast browsing. Specifically, This system includes two retrieval browsing sub-systems: (1) as for the retrieval browsing based on moving objects, it can achieve the “browsing with object storage” and “browsing with object classification”; (2) as for the retrieval browsing based on video synopsis, it can achieve the “browsing with playback synopsis” and “browsing with customized synopsis”. As shown in demos, video index and synopsis browsing can be flexibly and efficiently realized in this system.
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Ye, G., Liao, W., Dong, J., Zeng, D., Zhong, H. (2015). A Surveillance Video Index and Browsing System Based on Object Flags and Video Synopsis. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8936. Springer, Cham. https://doi.org/10.1007/978-3-319-14442-9_36
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DOI: https://doi.org/10.1007/978-3-319-14442-9_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14441-2
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