| 1. |
- Gutierrez, Jesus, et al.
(författare)
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Subjective evaluation of visual quality and simulator sickness of short 360 videos : ITU-T Rec. P.919
- 2022
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Ingår i: IEEE transactions on multimedia. - : Institute of Electrical and Electronics Engineers (IEEE). - 1520-9210 .- 1941-0077. ; 24, s. 3087-3100
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Tidskriftsartikel (refereegranskat)abstract
- Recently an impressive development in immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR) and 360 video, has been witnessed. However, methods for quality assessment have not been keeping up. This paper studies quality assessment of 360 video from the cross-lab tests (involving ten laboratories and more than 300 participants) carried out by the Immersive Media Group (IMG) of the Video Quality Experts Group (VQEG). These tests were addressed to assess and validate subjective evaluation methodologies for 360 video. Audiovisual quality, simulator sickness symptoms, and exploration behavior were evaluated with short (from 10 seconds to 30 seconds) 360 sequences. The following factors' influences were also analyzed: assessment methodology, sequence duration, Head-Mounted Display (HMD) device, uniform and non-uniform coding degradations, and simulator sickness assessment methods. The obtained results have demonstrated the validity of Absolute Category Rating (ACR) and Degradation Category Rating (DCR) for subjective tests with 360 videos, the possibility of using 10-second videos (with or without audio) when addressing quality evaluation of coding artifacts, as well as any commercial HMD (satisfying minimum requirements). Also, more efficient methods than the long Simulator Sickness Questionnaire (SSQ) have been proposed to evaluate related symptoms with 360 videos. These results have been instrumental for the development of the ITU-T Recommendation P.919. Finally, the annotated dataset from the tests is made publicly available for the research communit
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| 2. |
- Paudyal, Pradip, et al.
(författare)
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SMART: a Light Field image quality dataset
- 2016
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Ingår i: Proceedings of the 7th International Conference on Multimedia Systems, MMSys 2016. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 374-379
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Konferensbidrag (refereegranskat)abstract
- In this article, the design of a Light Field image datasetis presented. The availability of an image dataset is use-ful for design, testing, and benchmarking Light Field imageprocessing algorithms. As rst step, the image content se-lection criteria have been dened based on selected imagequality key-attributes, i.e. spatial information, colorfulness,texture key features, depth of eld, etc. Next, image sceneshave been selected and captured by using the Lytro IllumLight Field camera. Performed analysis shows that the con-sidered set of images is sucient for addressing a wide rangeof attributes relevant to assess Light Field image quality.
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| 3. |
- Paudyal, Pradip, et al.
(författare)
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Towards the Perceptual Quality Evaluation of Compressed Light Field Images
- 2017
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Ingår i: IEEE transactions on broadcasting. - 0018-9316 .- 1557-9611. ; 63:3, s. 507-522
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Tidskriftsartikel (refereegranskat)abstract
- Evaluation of perceived quality of light field images,as well as testing new processing tools, or even assessing the effectiveness of objective quality metrics, relies on the availabilityof test dataset and corresponding quality ratings. This article presents SMART light field image quality dataset. The dataset consists of source images (raw data without optical corrections), compressed images, and annotated subjective quality scores. Furthermore, analysis of perceptual effects of compression on SMART dataset is presented. Next, the impact of image content on the perceived quality is studied with the help of image quality attributes. Finally, the performances of 2D image quality metrics when applied to light field images are analyzed.
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