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In this paper, we show an application of Wyner-Ziv video coding in a wireless video sensor network. A rate estimation technique that permits to determine the compression rate without the need of a feedback channel is proposed. This technique allows the system to assign unequal transmission rates for different video sensors. It employs a cross-layer approach(More)
In this paper, the loss in performances due to imperfect channel estimation, caused by the presence of noise is presented. Channel estimation in UMTS/TDD is done using the training sequences or "midambles", positioned at the middle of the slot. The estimated channel parameters are necessary to operate match filtering at the head of the baseband part of the(More)
In this paper, we present a novel algorithm for dynamic quantization in distributed Wyner-Ziv video coding. In contrast with previous work where the quantization parameter is fixed and a feedback channel is used, our proposed technique relies on theoretical calculations to jointly determine the number of quantization levels along with a suitable compression(More)
In this paper, we present a novel approach for determining the theoretical compression bound for Wyner-Ziv coded video sequences transmitted over error-prone channels. This estimation takes into account the amount of motion inside each particular frame, as well as the transmission channel conditions. We compare the analytical results with those of a(More)
In this paper, we present a novel technique for the suppression of the return channel in a multisensor distributed Wyner-Ziv video coding system. The proposed technique relies on a cross-layer approach that takes into account the transmission channel conditions on one hand, and the content of the captured video scenes on the other, in order to allocate(More)
With the growth of cyber attacks, information safety has become an important issue all over the world. Many firms rely on security technologies such as intrusion detection systems (IDSs) to manage information technology security risks. IDSs are considered to be the last line of defense to secure a network and play a very important role in detecting large(More)
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