Adaptive Filtering and Video Compression using Neural Networks
Kalyan Chatterjee1, Nilotpal Mrinal2, Mandavi3, Prasannjit4, Amit Sur5
1Kalyan Chatterjee, Computer Science Engineering, Bengal College of Engineering And Technology, Durgapur, India.
2Nilotpal Mrinal, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
3Mandavi, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
4Prasannjit, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
5Amit Sur, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
Manuscript received on March 08, 2013. | Revised Manuscript Received on March 11, 2013. | Manuscript published on March 20, 2013. | PP: 25-28 | Volume-1 Issue-4, March 2013. | Retrieval Number: D0178031413/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Video Compression is concerned with reducing the amount of data required to reproduce a video. Adaptive Filtering and Video compression is necessary because video is often disturbed by useless noise at the time of compression and video requires more space to store. In this paper, we present an Adaptive Filtering technique for the removal of useless noise from video. After cancelling the unwanted noise, we get a filtered video. After that we take the filtered video as input to the neural network. Finally, we have used back propagation algorithm to compress the video.
Keywords: Adaptive Filtering, MPEG standards, Neural Network, Singularity maps.