Towards an Objective Metric for Preserving Creative Intent Across Displays
Metadata
- Publisher
- SMPTE — Hollywood, CA
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 00, pp. 1–12
- Abstract
- Accurate assessment of image and video quality is essential to ensure that digital content remains true to the creator's intent. Current evaluation methods often overlook the unique properties of rendering systems or focus solely on display specifications, neglecting the viewer's perceptual experience. This study introduces a comprehensive framework designed to address these limitations by evaluating content quality holistically, considering both display characteristics and human perception. Our framework comprises two primary components: a transmission channel module and a human perception module. The transmission channel module simulates how visual content is processed and displayed, factoring in the rendering device's capabilities. The human perception module predicts how viewers perceive the rendered content. By integrating these modules, our framework evaluates the preservation of creative intent in real-world content, going beyond traditional metrics to assess how well displayed content aligns with the creator's vision on a reference monitor as perceived by viewers. This approach enables a more meaningful comparison of display technologies and rendering systems. We validated the effectiveness of our framework through extensive testing against a subject-rated database, where it outperformed existing objective image and video quality assessment models in predicting viewer satisfaction. This success highlights the potential of our framework to be a valuable tool for content creators, display manufacturers, and researchers, offering a deeper understanding of content quality that bridges the gap between technical capability and human perception.
- Publication Date
- 2024-10-21
- DOI
10.5594/MOO/3016- ISBN
- Electronic:
978-1-61482-965-2 - Link
- https://doi.org/10.5594/MOO/3016
- Author(s)
- Wentao LiuZhuoran LiZhengfang DuanmuHojatollah Yeganeh
- Keyword(s)
- Creative Intent Preservation, QoE, Subjective Study, Display Device, Video Quality Assessment, Video Monetization
- Copyright
- © 2024 SMPTE
Bibliographic Reference(s)
- Z. Li, A. Aaron, L. Katsavounidis, A. Moorthy, and M. Manohara. (Jun. 2016). Toward A Practical Perceptual Video Quality Metric. [Online]. Available: http://techblog.netflix.com/2016/06/toward-practical-perceptual-video.html. EXTERNAL
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- Z. Li, Z. Duanmu, W. Liu, and Z. Wang. “Waterloo 4K Video Quality Assessment Database: A Comparative Study of Modern Video Encoders.” In 16th International Conference on Image Analysis and Recognition, Waterloo, Ontario, Canada. 2019. EXTERNAL
- V. Hosu, F. Hahn, M. Jenadeleh, H. Lin, H. Men, T. Szirányi, S. Li, and D. Saupe. “The Konstanz natural video database (KoNViD-1k).” In 2017 Ninth international conference on quality of multimedia experience (QoMEX), pp. 1–6. IEEE, 2017. EXTERNAL
- Z. Shang, J. P. Ebenezer, A. C. Bovik, Y. Wu, H. Wei, and S. Sethuraman. “Subjective assessment of high dynamic range videos under different ambient conditions.” In 2022 IEEE international conference on image processing (ICIP), pp. 786–790. IEEE, 2022. EXTERNAL
- H. R. Sheikh, M. F. Sabir, and A. C. Bovik. “A statistical evaluation of recent full reference image quality assessment algorithms.” IEEE Transactions on image processing 15, no. 11 (2006): 3440–3451. EXTERNAL
- SMPTE ST 2084:2014 [Active, Stabilized]
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Wentao Liu, Zhuoran Li, Zhengfang Duanmu, and Hojatollah Yeganeh; Towards an Objective Metric for Preserving Creative Intent Across Displays, MTS 2024, Article 16 (pp. 1 to 12); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at https://doi.org/10.5594/MOO/3016
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Wentao Liu, Zhuoran Li, Zhengfang Duanmu, and Hojatollah Yeganeh; Towards an Objective Metric for Preserving Creative Intent Across Displays, MTS 2024, Article 16 (pp. 1 to 12); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at https://doi.org/10.5594/MOO/3016
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Wentao Liu, Zhuoran Li, Zhengfang Duanmu, and Hojatollah Yeganeh; Towards an Objective Metric for Preserving Creative Intent Across Displays, MTS 2024, Article 16 (pp. 1 to 12); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at https://doi.org/10.5594/MOO/3016
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<span class="citation">Wentao Liu, Zhuoran Li, Zhengfang Duanmu, and Hojatollah Yeganeh; <cite>Towards an Objective Metric for Preserving Creative Intent Across Displays</cite>, MTS 2024, Article 16 (pp. 1 to 12); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at <a href="https://doi.org/10.5594/MOO/3016" target="_blank" rel="noopener">https://doi.org/10.5594/MOO/3016</a></span>
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Wentao Liu, Zhuoran Li, Zhengfang Duanmu, and Hojatollah Yeganeh; Towards an Objective Metric for Preserving Creative Intent Across Displays, MTS 2024, Article 16 (pp. 1 to 12); SMPTE, 2024, ISBN: 978-1-61482-965-2
doi: 10.5594/MOO/3016
url: https://doi.org/10.5594/MOO/3016
doi: 10.5594/MOO/3016
url: https://doi.org/10.5594/MOO/3016
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<li> Wentao Liu, Zhuoran Li, Zhengfang Duanmu, and Hojatollah Yeganeh; <cite id="bib-10-5594-moo-3016">Towards an Objective Metric for Preserving Creative Intent Across Displays</cite>, MTS 2024, Article 16 (pp. 1 to 12); SMPTE, 2024, ISBN: 978-1-61482-965-2 <span class="doi">10.5594/MOO/3016</span> </li>