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Subjective Quality Assessment of Stereoscopic Omnidirectional Image

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Book cover Advances in Multimedia Information Processing – PCM 2018 (PCM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11164))

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Abstract

Stereoscopic omnidirectional images are eye-catching because they can provide realistic and immersive experience. Due to the extra depth perception provided by stereoscopic omnidirectional images, it is desirable and urgent to evaluate the overall quality of experience (QoE) of these images, including image quality, depth perception, and so on. However, most existing studies are based on 2D omnidirectional images and only image quality is taken into account. In this paper, we establish the very first Stereoscopic OmnidirectionaL Image quality assessment Database (SOLID). Three subjective evaluating factors are considered in our database, namely image quality, depth perception, and overall QoE. Additionally, the relationship among these three factors is investigated. Finally, several well-known image quality assessment (IQA) metrics are tested on our SOLID database. Experimental results demonstrate that the objective overall QoE assessment is more challenging compared to IQA in terms of stereoscopic omnidirectional images. We believe that our database and findings will provide useful insights in the development of the QoE assessment for stereoscopic omnidirectional images.

The first two authors made equal contributions to this work.

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Acknowledgements

This work was supported in part by the National Key Research and Development Program of China under Grant No. 2016YFC0801001, the National Program on Key Basic Research Projects (973 Program) under Grant 2015CB351803, NSFC under Grant 61571413, 61632001, 61390514, and Intel ICRI MNC.

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Authors and Affiliations

  1. CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei, 230027, China

    Jiahua Xu, Chaoyi Lin, Wei Zhou & Zhibo Chen

Authors
  1. Jiahua Xu
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  2. Chaoyi Lin
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  3. Wei Zhou
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  4. Zhibo Chen
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Corresponding author

Correspondence to Zhibo Chen .

Editor information

Editors and Affiliations

  1. Hefei University of Technology, Hefei, China

    Richang Hong

  2. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Huang Cheng

  3. University of Tokyo, Tokyo, Japan

    Toshihiko Yamasaki

  4. Hefei University of Technology, Hefei, China

    Meng Wang

  5. City University of Hong Kong, Hong Kong, Hong Kong

    Chong-Wah Ngo

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Xu, J., Lin, C., Zhou, W., Chen, Z. (2018). Subjective Quality Assessment of Stereoscopic Omnidirectional Image. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11164. Springer, Cham. https://doi.org/10.1007/978-3-030-00776-8_54

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  • DOI: https://doi.org/10.1007/978-3-030-00776-8_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00775-1

  • Online ISBN: 978-3-030-00776-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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