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- W2320124291 abstract "Due to the advances in hardware technologies for low-power CMOS cameras, there have been various researches on wireless video sensor network(WVSN) applications including agricultural monitoring and environmental tracking. In such a system, its core technologies include video compression and wireless transmission. Since data of video sensors are bigger than those of other sensors, it is particularly necessary to estimate precisely the traffic after video encoding. In this paper, we present an estimation method for the encoded video traffic in WVSN networks. To estimate traffic characteristics accurately, the proposed method first measures complexities of frames and then applies them to the bit rate estimation adaptively. It is shown by experimental results that the proposed method improves the estimation of bit rate characteristics by more than 12% as compared to the existing method." @default.
- W2320124291 created "2016-06-24" @default.
- W2320124291 creator A5003476268 @default.
- W2320124291 date "2015-12-31" @default.
- W2320124291 modified "2023-10-17" @default.
- W2320124291 title "Frame Complexity-Based Adaptive Bit Rate Normalization" @default.
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- W2320124291 doi "https://doi.org/10.13067/jkiecs.2015.10.12.1329" @default.
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