research-article

Perceptual Quality Assessment of Omnidirectional Images: A Benchmark and Computational Model

Authors:

Yang LiuAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications and Applications, Volume 20, Issue 6

Article No.: 175, Pages 1 - 24

https://doi.org/10.1145/3640344

Published: 08 March 2024 Publication History

Abstract

Compared with traditional 2D images, omnidirectional images (also referred to as 360^∘ images) have more complicated perceptual characteristics due to the particularities of imaging and display. How humans perceive omnidirectional images in an immersive environment and form the immersive quality of experience are important problems. Thus, it is crucial to measure the quality of omnidirectional images under different viewing conditions, which suffer from realistic distortions. In this article, we build a large-scale subjective assessment database for omnidirectional images and carry out a comprehensive psychophysical experiment to study the relationships between different factors (viewing conditions and viewing behaviors) and the perceptual quality of omnidirectional images. In addition, we collect both subjective ratings and head movement data. A thorough analysis of the collected subjective data is also provided, where we make several interesting findings. Moreover, with the proposed database, we propose a novel transformer-based omnidirectional image quality assessment model. To be consistent with the human viewing process, viewing conditions and behaviors are naturally incorporated into the proposed model. Specifically, the proposed model mainly consists of three parts: viewport sequence generation, multi-scale feature extraction, and perceptual quality prediction. Extensive experimental results conducted on the proposed database demonstrate the effectiveness of the proposed method over existing image quality assessment methods.

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Index Terms

Perceptual Quality Assessment of Omnidirectional Images: A Benchmark and Computational Model
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 20, Issue 6

June 2024

715 pages

EISSN:1551-6865

DOI:10.1145/3613638

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 08 March 2024

Online AM: 26 January 2024

Accepted: 01 January 2024

Revised: 05 December 2023

Received: 24 August 2023

Published in TOMM Volume 20, Issue 6

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Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province of China
Project funded by China Postdoctoral Science Foundation
Postgraduate Innovation Special Fund of Jiangxi Province

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Ramadan MAli MKhoo SAlkhedher M(2025)SecureIoT-FL: A Federated Learning Framework for Privacy-Preserving Real-Time Environmental Monitoring in Industrial IoT ApplicationsAlexandria Engineering Journal10.1016/j.aej.2024.11.069114(681-701)Online publication date: Mar-2025
https://doi.org/10.1016/j.aej.2024.11.069
Ghasemi JMahmoudi N(2024)The application of IoT devices in evidence collection and preservation In legal investigations In the common law legal system of Western countries2024 11th International Symposium on Telecommunications (IST)10.1109/IST64061.2024.10843627(120-124)Online publication date: 9-Oct-2024
https://doi.org/10.1109/IST64061.2024.10843627
Simka MPolak LNovotny MKufa JFliegel K(2024)Performance Evaluation of Objective Quality Assessment Methods for Omnidirectional Images Under Emerging CompressionsIEEE Access10.1109/ACCESS.2024.347879312(150419-150429)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3478793
Wang YZhou YLi MSun YDing J(2024)Blind omnidirectional image quality assessment based on semantic information replenishmentJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.104241103(104241)Online publication date: Aug-2024
https://doi.org/10.1016/j.jvcir.2024.104241
Liu HTan ZChen QWei YZhao YWang J(2024)Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-modal ManipulationInternational Journal of Computer Vision10.1007/s11263-024-02245-xOnline publication date: 7-Oct-2024
https://doi.org/10.1007/s11263-024-02245-x

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