Hybrid NR Video Quality Metric with Decodable Payload

C. Lee, G. Seo, H. Choi, S. Youn, K. Lee

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

1 Citation (Scopus)

Abstract

In this paper, we propose a hybrid NR video quality metric with decodable payload. Although NR video quality metric has a strong need from the industry, developing these metrics has been a challenging task. Recently, hybrid models that use both processed video sequences and bit-stream data have shown promising results. In particular, from bitstream data, useful information can be extracted for video quality estimation, which includes codec information and impairment due to transmission errors. In the proposed method, we used packet information from the bit-stream data and estimated transmission impairment by decoding the payload to estimate the video quality. The proposed method was tested for the H.264 standard and it showed promising results. Also, the proposed method was independently evaluated using large datasets and it produced good performance.

Original languageEnglish
Title of host publicationIISA 2021 - 12th International Conference on Information, Intelligence, Systems and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665400329
DOIs
Publication statusPublished - 2021 Jul 12
Event12th International Conference on Information, Intelligence, Systems and Applications, IISA 2021 - Virtual, Chania Crete, Greece
Duration: 2021 Jul 122021 Jul 14

Publication series

NameIISA 2021 - 12th International Conference on Information, Intelligence, Systems and Applications

Conference

Conference12th International Conference on Information, Intelligence, Systems and Applications, IISA 2021
Country/TerritoryGreece
CityVirtual, Chania Crete
Period21/7/1221/7/14

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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