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Perceptually Lossless Video Compression with Error Concealment

Authors:

Trac D. TranAuthors Info & Claims

ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing

Article No.: 19, Pages 1 - 5

https://doi.org/10.1145/3271553.3271622

Published: 27 August 2018 Publication History

Abstract

We present a video compression framework that has several components. First, we aim at achieving perceptually lossless compression. Several well-known video codecs in the literature have been evaluated and the performance was assessed using several well-known performance metrics. Second, we investigated the impact of error concealment algorithms for handling corrupted pixels due to transmission errors in communication channels. Extensive experiments using actual videos have been performed to demonstrate the proposed framework.

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Cited By

Babu CChandy D(2021)A Review on Lossless Compression Techniques for Wireless Capsule Endoscopic DataCurrent Medical Imaging Formerly Current Medical Imaging Reviews)10.2174/157340561666620042308472517:1(27-38)Online publication date: 5-Mar-2021
https://doi.org/10.2174/1573405616666200423084725
Kwan CZhou J(2018)High performance image completion using sparsity based algorithmsComputational Imaging III10.1117/12.2303661(16)Online publication date: 14-May-2018
https://doi.org/10.1117/12.2303661
Kwan CLarkin J(2018)Perceptually Lossless Compression for Mastcam Images2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON.2018.8796824(559-565)Online publication date: Nov-2018
https://doi.org/10.1109/UEMCON.2018.8796824
Show More Cited By

Index Terms

Perceptually Lossless Video Compression with Error Concealment
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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cover image ACM Other conferences

ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing

August 2018

402 pages

ISBN:9781450365291

DOI:10.1145/3271553

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2018

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U.S. Navy

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ICVISP 2018

ICVISP 2018: The 2nd International Conference on Vision, Image and Signal Processing

August 27 - 29, 2018

NV, Las Vegas, USA

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Overall Acceptance Rate 186 of 424 submissions, 44%

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Cited By

Babu CChandy D(2021)A Review on Lossless Compression Techniques for Wireless Capsule Endoscopic DataCurrent Medical Imaging Formerly Current Medical Imaging Reviews)10.2174/157340561666620042308472517:1(27-38)Online publication date: 5-Mar-2021
https://doi.org/10.2174/1573405616666200423084725
Kwan CZhou J(2018)High performance image completion using sparsity based algorithmsComputational Imaging III10.1117/12.2303661(16)Online publication date: 14-May-2018
https://doi.org/10.1117/12.2303661
Kwan CLarkin J(2018)Perceptually Lossless Compression for Mastcam Images2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON.2018.8796824(559-565)Online publication date: Nov-2018
https://doi.org/10.1109/UEMCON.2018.8796824
Kwan CChou BEchavarren ABudavari BLi JTran T(2018)Compressive Vehicle Tracking Using Deep Learning2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON.2018.8796778(51-56)Online publication date: Nov-2018
https://doi.org/10.1109/UEMCON.2018.8796778

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