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Survey on the State-Of-The-Art Methods for Objective Video Quality Assessment in Recognition Tasks

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Multimedia Communications, Services and Security (MCSS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1284))

Abstract

This paper is a technical report, presenting a survey on the state-of-the-art methods for objective video quality assessment in recognition tasks. It bases on the most up-to-date solutions, developed by various research teams. The study considers, among others, solutions developed by the AGH University research team, including the contributions to ITU-T Recommendation P.912 (dealing with video quality assessment methods for recognition tasks) as well as the video quality indicators (available at http://vq.kt.agh.edu.pl/). In particular, we consider evaluation metrics based on a trade-off between computer vision performance and compression efficiency.

Supported by Huawei Innovation Research Program (HIRP).

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Authors and Affiliations

  1. AGH University of Science and Technology, 30059, Kraków, Poland

    Kamil Kawa & Mikołaj Leszczuk

  2. Huawei Technologies Duesseldorf GmbH, 40549, Duesseldorf, Germany

    Atanas Boev

Authors
  1. Kamil Kawa
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  2. Mikołaj Leszczuk
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  3. Atanas Boev
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Corresponding author

Correspondence to Mikołaj Leszczuk .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Kraków, Poland

    Andrzej Dziech

  2. Royal Military Academy, Brussels, Belgium

    Wim Mees

  3. Gdańsk University of Technology, Gdańsk, Poland

    Andrzej Czyżewski

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Kawa, K., Leszczuk, M., Boev, A. (2020). Survey on the State-Of-The-Art Methods for Objective Video Quality Assessment in Recognition Tasks. In: Dziech, A., Mees, W., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2020. Communications in Computer and Information Science, vol 1284. Springer, Cham. https://doi.org/10.1007/978-3-030-59000-0_25

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  • DOI: https://doi.org/10.1007/978-3-030-59000-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58999-8

  • Online ISBN: 978-3-030-59000-0

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