KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment
Light field datasets enable researchers to conduct both objective and subjective quality assessments, which are particularly useful when acquisition equipment or resources are not available. Such datasets may vary in terms of capture technology and methodology, content, quality characteristics (e.g....
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/23/4868 |
| _version_ | 1797400228547002368 |
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| author | Kamran Javidi Maria G. Martini Peter A. Kara |
| author_facet | Kamran Javidi Maria G. Martini Peter A. Kara |
| author_sort | Kamran Javidi |
| collection | DOAJ |
| description | Light field datasets enable researchers to conduct both objective and subjective quality assessments, which are particularly useful when acquisition equipment or resources are not available. Such datasets may vary in terms of capture technology and methodology, content, quality characteristics (e.g., resolution), and the availability of subjective ratings. When contents of a light field dataset are visualized on a light field display, the display system matches the received input to its output capabilities through various processes, such as interpolation. Therefore, one of the most straightforward methods to create light field contents for a specific display is to consider its visualization parameters during acquisition. In this paper, we introduce a novel display-specific light field dataset, captured using a DSLR camera and a turntable rig. The visual data of the seven static scenes were recorded twice by using two settings of angular resolution. While both were acquired uniformly within a 53-degree angle, which matches the viewing cone of the display they were captured for, one dataset consists of 70 views per content, while the other of 140. Capturing the contents twice was a more straightforward solution than downsampling, as the latter approach could either degrade the quality or make the FOV size inaccurate. The paper provides a detailed characterization of the captured contents, as well as compressed variations of the contents with various codecs, together with the calculated values of commonly-used quality metrics for the compressed light field contents. We expect that this dataset will be useful for the research community working on light field compression, processing, and quality assessment, for instance to perform subjective quality assessment tests on a display with a 53-degree display cone and to test new interpolation methods and objective quality metrics. In future work, we will also focus on subjective tests and provide relevant results. This dataset is made free to access for the research community. |
| first_indexed | 2024-03-09T01:52:32Z |
| format | Article |
| id | doaj.art-119d1670de4a414788a65d0352206e73 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T01:52:32Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-119d1670de4a414788a65d0352206e732023-12-08T15:14:18ZengMDPI AGElectronics2079-92922023-12-011223486810.3390/electronics12234868KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality AssessmentKamran Javidi0Maria G. Martini1Peter A. Kara2Wireless Multimedia and Networking Research Group, Department of Computer Science, School of Computer Science and Mathematics, Faculty of Engineering, Computing and the Environment, Kingston University, Penrhyn Road Campus, Kingston upon Thames, London KT1 2EE, UKWireless Multimedia and Networking Research Group, Department of Computer Science, School of Computer Science and Mathematics, Faculty of Engineering, Computing and the Environment, Kingston University, Penrhyn Road Campus, Kingston upon Thames, London KT1 2EE, UKWireless Multimedia and Networking Research Group, Department of Computer Science, School of Computer Science and Mathematics, Faculty of Engineering, Computing and the Environment, Kingston University, Penrhyn Road Campus, Kingston upon Thames, London KT1 2EE, UKLight field datasets enable researchers to conduct both objective and subjective quality assessments, which are particularly useful when acquisition equipment or resources are not available. Such datasets may vary in terms of capture technology and methodology, content, quality characteristics (e.g., resolution), and the availability of subjective ratings. When contents of a light field dataset are visualized on a light field display, the display system matches the received input to its output capabilities through various processes, such as interpolation. Therefore, one of the most straightforward methods to create light field contents for a specific display is to consider its visualization parameters during acquisition. In this paper, we introduce a novel display-specific light field dataset, captured using a DSLR camera and a turntable rig. The visual data of the seven static scenes were recorded twice by using two settings of angular resolution. While both were acquired uniformly within a 53-degree angle, which matches the viewing cone of the display they were captured for, one dataset consists of 70 views per content, while the other of 140. Capturing the contents twice was a more straightforward solution than downsampling, as the latter approach could either degrade the quality or make the FOV size inaccurate. The paper provides a detailed characterization of the captured contents, as well as compressed variations of the contents with various codecs, together with the calculated values of commonly-used quality metrics for the compressed light field contents. We expect that this dataset will be useful for the research community working on light field compression, processing, and quality assessment, for instance to perform subjective quality assessment tests on a display with a 53-degree display cone and to test new interpolation methods and objective quality metrics. In future work, we will also focus on subjective tests and provide relevant results. This dataset is made free to access for the research community.https://www.mdpi.com/2079-9292/12/23/4868light fielddatasetcontent characterizationangular resolutionobjective quality assessment |
| spellingShingle | Kamran Javidi Maria G. Martini Peter A. Kara KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment Electronics light field dataset content characterization angular resolution objective quality assessment |
| title | KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment |
| title_full | KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment |
| title_fullStr | KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment |
| title_full_unstemmed | KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment |
| title_short | KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment |
| title_sort | kulf tt53 a display specific turntable based light field dataset for subjective quality assessment |
| topic | light field dataset content characterization angular resolution objective quality assessment |
| url | https://www.mdpi.com/2079-9292/12/23/4868 |
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