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IOT ENABLED CLOSED-CIRCUIT TELEVISION SURVEILLANCE MONITORING USING BACKWARD-CHANNEL COMPRESSION

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1M P Rajakumar, 2K.Kavitha, 3Dr. M. Prasad, 4Dr K. Sampath Kumar, 5Dr. Muralidharan J

Abstract

Abstract: Video surveillance is an important tool to enhance public safety and privacy protection. It is used to analyze video content and to monitor the activity required to effectively transmit and store surveillance video data. Video compression techniques can be used to reduce or resize video. A less sophisticated encoding method based on the Weiner-Civ coding principle can be used for surveillance video compression, and the backwardchannel-aware Weiner-Civ video coding approach is applied to improve coding efficiency. Encoder Motion vectors obtained from the decoder are sent back to the encoder via the feedback channel for object detection and event analysis. Encoder and decoder use different motion vectors in motion compensation for the same frame. Rebuilt frames on the encoder and decoder therefore lose synchronization, which causes a drift problem and propagates to the rest of the range. To address the reliability of credible broadcasts, an error replacement plan has been proposed for BCAWZ for reliable transmission on the back-channel, which is essential for direct and reliable object identification, event analysis and video data quality. Watermarking is also applied to securely transmit surveillance video stream.

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