Volume : V, Issue : II, February - 2015
For Underwater Channel Implementation of H.264 Based Real Time Video Compression
Prof. Ravi S. Shrivas, Miss. Khushboo Arun Khabia
Abstract :
Underwater acoustic channel have a greater challenge because of its low data rate constraint which makes its difficult for real time video compression algorithm using low complexity devices. In order to transmit a good quality video, in real time underwater embedded system, compression schemes with higher compression ratio and much less time complexity are required. For underwater acoustic channel, a H.264/AVC based real–time encoder implementation on an embedded system. The proposed system results from balanced selection of software and hardware modules for the encoder. This is achieved by proper selection of motion estimation and quantization in software part and hardware accelerator for motion estimation to achieve the requirements of the target applications. Performance of the proposed encoder is evaluated in Embest Devkit 8500D implemented using OpenCV for Video acquisition and MATLAB for video processing. The methodology is tested to give a compression ratio of 210:1 and PSNR of 41.37dB.
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DOI : 10.36106/ijar
Cite This Article:
Prof. Ravi S. Shrivas,Miss. Khushboo Arun Khabia For Underwater Channel Implementation of H.264 Based Real Time Video Compression Indian Journal of Applied Research, Vol.5, Issue : 2 February 2015
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Prof. Ravi S. Shrivas,Miss. Khushboo Arun Khabia For Underwater Channel Implementation of H.264 Based Real Time Video Compression Indian Journal of Applied Research, Vol.5, Issue : 2 February 2015
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