Low‐complexity feedback‐channel‐free distributed video coding using local rank transform-Reference-Cited by-同舟云学术

Low‐complexity feedback‐channel‐free distributed video coding using local rank transform

Published:2017-02 Issue:2 Volume:11 Page:126-134
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Raj Bhagath Pudi¹,Mallick Kallol²,Mukherjee Jayanta³,Mukopadhayay Sudipta¹

Affiliation:

1. Department of Electronics and Electrical Communication EngineeringIndian Institute of TechnologyKharagpurIndia

2. Azure Software Systems Ltd.KolkataIndia

3. Department of Computer Science and EngineeringIndian Institute of TechnologyKharagpurIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2016.0714

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5. 2002 Conf. Communication Control and Computing Allerton R. Puri K. Ramchandran PRISM: A new robust video coding architecture based on distributed compression principles 1 10

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1. Low complexity encoder for feedback-channel-free distributed video coding using deep convolutional neural networks at the decoder;Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing - ICVGIP '16;2016