Impulse Technologies
                                       Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
        Compressed-Sensing-Enabled Video Streaming for Wireless
                     Multimedia Sensor Networks
   Abstract
          1
            This paper presents the design of a networked system for joint compression, rate
   control and error correction of video over resource-constrained embedded devices based
   on the theory of Compressed Sensing (CS). The objective of this work is to design a
   cross-layer system that jointly controls the video encoding rate, the transmission rate, and
   the channel coding rate to maximize the received video quality. First, compressed
   sensing-based video encoding for transmission over Wireless Multimedia Sensor
   Networks (WMSNs) is studied. It is shown that compressed sensing can overcome many
   of the current problems of video over WMSNs, primarily encoder complexity and low
   resiliency to channel errors. A rate controller is then developed with the objective of
   maintaining fairness among different videos while maximizing the received video
   quality. It is shown that the rate of Compressed Sensed Video (CSV) can be predictably
   controlled by varying only the compressed sensing sampling rate. It is then shown that
   the developed rate controller can be interpreted as the iterative solution to a convex
   optimization problem representing the optimization of the rate allocation across the
   network. The error resiliency properties of compressed sensed images and videos are then
   studied, and an optimal error detection and correction scheme is presented for video
   transmission over lossy channels. Finally, the entire system is evaluated through
   simulation and test bed evaluation. The rate controller is shown to outperform existing
   TCP-friendly rate control schemes in terms of both fairness and received video quality.
   The test bed results show that the rates converge to stable values in real channels.




   1


  Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
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  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 [email protected] www.impulse.net.in Compressed-Sensing-Enabled Video Streaming for Wireless Multimedia Sensor Networks Abstract 1 This paper presents the design of a networked system for joint compression, rate control and error correction of video over resource-constrained embedded devices based on the theory of Compressed Sensing (CS). The objective of this work is to design a cross-layer system that jointly controls the video encoding rate, the transmission rate, and the channel coding rate to maximize the received video quality. First, compressed sensing-based video encoding for transmission over Wireless Multimedia Sensor Networks (WMSNs) is studied. It is shown that compressed sensing can overcome many of the current problems of video over WMSNs, primarily encoder complexity and low resiliency to channel errors. A rate controller is then developed with the objective of maintaining fairness among different videos while maximizing the received video quality. It is shown that the rate of Compressed Sensed Video (CSV) can be predictably controlled by varying only the compressed sensing sampling rate. It is then shown that the developed rate controller can be interpreted as the iterative solution to a convex optimization problem representing the optimization of the rate allocation across the network. The error resiliency properties of compressed sensed images and videos are then studied, and an optimal error detection and correction scheme is presented for video transmission over lossy channels. Finally, the entire system is evaluated through simulation and test bed evaluation. The rate controller is shown to outperform existing TCP-friendly rate control schemes in terms of both fairness and received video quality. The test bed results show that the rates converge to stable values in real channels. 1 Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1