A Low power Video Compression for Energy Starved Sensor Network Using Partially Fragmented Cosine Transform-Reference-Cited by-同舟云学术

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A Low power Video Compression for Energy Starved Sensor Network Using Partially Fragmented Cosine Transform

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
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Author:

Roy Pulakesh¹,Chaurasiya Sandip K.²,Biswas Arindam¹,Banerjee Rajib³

Affiliation:

1. Kazi Nazrul University,Dept. of Mining Engineering,Asansol,West Bengal,India

2. University of Petroleum & Energy Studies,School of Computer Science,Dehradun,Uttarakhand,India

3. DR. B.C. Roy Engineering College, Durgapur,Dept. of Electronics and Communication Engineering,Durgapur,West Bengal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9972337/9971799/09971802.pdf?arnumber=9971802

Reference29 articles.

1. A Signal Adaptive Diffusion Filter For Video Coding

2. Dynamic Point Cloud Texture Video Compression using the Edge Position Difference Oriented Motion Model

3. An Efficient Random Access Light Field Video Compression Utilizing Diagonal Inter-View Prediction

4. Design and implementation of discrete cosine transform algorithm on FPGA device

5. Signals, systems and transforms;charles,2007

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