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Content Provider | IEEE Xplore Digital Library |
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Author | Jing Xiao Yu Chen Liang Liao Jinhui Hu Ruimin Hu |
Copyright Year | 2015 |
Description | Author affiliation: Nat. Eng. Res. Center for Multimedia Software Sch. of Comput., Wuhan Univ., Wuhan, China (Jing Xiao; Yu Chen; Liang Liao; Jinhui Hu; Ruimin Hu) |
Abstract | In this paper, we exploit a new type of data redundancy in the multisource surveillance video to reduce the huge gap between the growth rate of the data and the video compression rate. Global redundancy caused by correlated appearances of moving objects in multiple videos consists of model similarity, spatial correlation and temporal consistency. Therefore, we propose a global coding scheme of moving objects to eliminate the global redundancy: a model based object reconstruction is initially employed to reconstruct the objects in the video, then a pose-based residual error prediction is developed to compensate the difference between the real video appearance and the initial reconstruction from model. The experiment with two simulated surveillance videos has proved that the proposed coding scheme can achieve better coding performance than the main profile of HEVC and surveillance profile of IEEE 1857-2013. |
Starting Page | 33 |
Ending Page | 42 |
File Size | 426311 |
Page Count | 10 |
File Format | |
ISBN | 9781479984305 |
ISSN | 10680314 |
DOI | 10.1109/DCC.2015.37 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-04-07 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Vehicles Redundancy Encoding Cameras Surveillance Solid modeling Bit rate |
Content Type | Text |
Resource Type | Article |
Subject | Computer Networks and Communications |
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