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Evaluating Video Codecs for Telemedicine Under Very-Low Bitrates
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). TeleSehat Private Limited, Islamabad, Pakistan.ORCID iD: 0000-0002-4932-4036
Karlsruhe Institute of Technology, Karlsruhe, Germany.
Mohammad Ali Jinnah University, Islamabad, Pakistan.
2015 (English)In: 2015 8th International Congress on Image and Signal Processing (CISP) / [ed] Wang L.,Lin S.,Tao Z.,Zeng B.,Hui X.,Shao L.,Liang J., Piscataway, NJ: IEEE, 2015, p. 98-103, article id 7407857Conference paper, Published paper (Refereed)
Abstract [en]

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. © 2015 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2015. p. 98-103, article id 7407857
Keyword [en]
video coding, telemedicine, medical diagnostic videos, HEVC, H.264
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hh:diva-35707DOI: 10.1109/CISP.2015.7407857ISI: 000380502000018Scopus ID: 2-s2.0-84966586651ISBN: 978-1-4673-9098-9 (electronic)ISBN: 978-1-4673-9097-2 (electronic)ISBN: 978-1-4673-9099-6 (print)OAI: oai:DiVA.org:hh-35707DiVA: diva2:1175402
Conference
Proceedings 2015 8 International Congress on Image and Signal Processing (CISP), Shenyang, China, Oct. 14-16, 2015
Note

Funding: the National ICT R&D fund, Pakistan

Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-01-17Bibliographically approved

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Ul-Abdin, Zain

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