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- W2142392147 abstract "In this paper, we explore the model of potential savings of object-based coding for surveillance video. Moving foreground objects in stationary camera surveillance video are detected by a background subtraction technique and encoded with MPEG-4 object-based coding. Experimental results show that compared with frame-based coding, object-based coding can achieve significant savings which are dependent on the video content. We further model the relationship of compression efficiency and the number and size of video objects using a statistical learning method. Simulations show that the model is representative. The model can be used to predict the savings of object-based coding and select coding methods for surveillance video." @default.
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- W2142392147 date "2006-10-11" @default.
- W2142392147 modified "2023-09-26" @default.
- W2142392147 title "Model of Object-Based Coding for Surveillance Video" @default.
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- W2142392147 doi "https://doi.org/10.1109/icassp.2005.1415499" @default.
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