Evaluating video codecs for telemedicine under very-low bitrates

Zain Ul-Abdin, Muhammad Shafique, Muhammad Abdul Qadir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Telemedicine is drawing greater attention to improve the health care delivery. Video coding being an integral part of any real-time telemedicine system is used to deliver diagnostic video stream to remote physician. Realizing a video coding system customized for telemedicine, using the available technologies poses several challenges. In this paper, we have analyzed state-of-the-art video codecs for adoption in telemedicine customized video conferencing system under low-bandwidth and low-computational scenarios. The experimental results for the selected video codec implementations for medical videos reveal that the HEVC encoder achieves equivalent objective video quality when using approx. 60% bit rate on average. However, the gain in coding efficiency is at the expense of increased computational complexity, which could be dealt with by incorporating adaptive interpolation and selective quality enhancement techniques to achieve real-time performance.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
EditorsLipo Wang, Sen Lin, Zhiyong Tao, Bing Zeng, Xiaowei Hui, Liangshan Shao, Jie Liang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages98-103
Number of pages6
ISBN (Electronic)9781467390989
DOIs
StatePublished - Feb 16 2016
Event8th International Congress on Image and Signal Processing, CISP 2015 - Shenyang, China
Duration: Oct 14 2015Oct 16 2015

Publication series

NameProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

Conference

Conference8th International Congress on Image and Signal Processing, CISP 2015
CountryChina
CityShenyang
Period10/14/1510/16/15

Keywords

  • H.264
  • HEVC
  • medical diagnostic videos
  • telemedicine
  • video coding

ASJC Scopus subject areas

  • Signal Processing

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