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Among different sensors used in machine-to-machine (M2M) networks, video sensors can provide the richest information. However, much higher bandwidth and power consumption limit the feasibility of wide deployment. To integrate visual data acquisition ability into M2M networks, the design of low-power distributed video sensors is the key. This paper presents the power analysis of distributed video sensors...
Distributed video coding (DVC), a new video coding paradigm based on Slepian-Wolf and Wyner-Ziv theories, is a promising solution for implementing low-power and low-cost distributed wireless video sensors since most of the computation load is moved from the encoder to the decoder. It has been showed that there is still room to improve the coding efficiency of the current DVC codec. In this paper,...
Distributed video coding (DVC), a new video coding paradigm based on Slepian-Wolf and Wyner-Ziv theories, is a promising solution for implementing low-power and low-cost distributed wireless video sensors since most of the computation load is moved from the encoder to the decoder. In this paper, the hardware architecture design of an efficient distributed video coding system, hybrid DVC with frame-level...
Low-power wireless video sensor nodes play important roles for applications in machine-to-machine (M2M) network. Several design issues to optimize the power consumption of a video sensor node are addressed in this paper. For the video coding engine selection, the comparison between conventional video coding system and distributed video coding (DVC) system shows that although the rate-distortion performance...
Low-power and low-cost distributed wireless video sensors play important roles for applications in machine-to-machine (M2M) and wireless sensor networks. Distributed video coding (DVC), an emerging coding technology based on Wyner-Ziv theory, seems to be a possible solution for implementing low-power video sensors since most of the computational complexity is moved from the encoder to the decoder...
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