Subjective Quality Assessment of User-Generated 360° Videos

Yuming Fang; Yiru Yao; Xiangjie Sui; Kede Ma

doi:10.1109/VRW58643.2023.00204

Subjective Quality Assessment of User-Generated 360° Videos

Yuming Fang
, Yiru Yao
, Xiangjie Sui
, Kede Ma

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

In this poster, we establish one of the largest virtual reality (VR) video database, containing 502 user-generated videos with rich content and commingled authentic distortions (often.localized in space and time). We capture viewing behaviors (i.e., scanpaths) of 139 users, and collect their opinion scores of perceived quality under four different viewing conditions (two starting points x two exploration times). We provide a thorough statistical analysis of recorded data, resulting in several interesting observations, which reveal how viewing conditions affect human behaviors and perceived quality. The database is available at https: //github.com/Yao-Yiru/VR-Video-Database.

Original language	English
Title of host publication	Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops
Subtitle of host publication	VRW 2023
Publisher	IEEE
Pages	723-724
ISBN (Electronic)	979-8-3503-4839-2
ISBN (Print)	979-8-3503-4840-8
DOIs	https://doi.org/10.1109/VRW58643.2023.00204
Publication status	Published - 2023
Event	30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR 2023) - Pudong Shangri-La Hotel, Shanghai, China Duration: 25 Mar 2023 → 29 Mar 2023 http://ieeevr.org/2023/

Publication series

Name	Proceedings - IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW

Conference

Conference	30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR 2023)
Place	China
City	Shanghai
Period	25/03/23 → 29/03/23
Internet address	http://ieeevr.org/2023/

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Research Keywords

360° videos
Perceived Quality
Scanpaths

Access Output

10.1109/VRW58643.2023.00204

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Fang, Y., Yao, Y., Sui, X., & Ma, K. (2023). Subjective Quality Assessment of User-Generated 360° Videos. In Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops: VRW 2023 (pp. 723-724). (Proceedings - IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW). IEEE. https://doi.org/10.1109/VRW58643.2023.00204

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title = "Subjective Quality Assessment of User-Generated 360° Videos",

abstract = "In this poster, we establish one of the largest virtual reality (VR) video database, containing 502 user-generated videos with rich content and commingled authentic distortions (often.localized in space and time). We capture viewing behaviors (i.e., scanpaths) of 139 users, and collect their opinion scores of perceived quality under four different viewing conditions (two starting points x two exploration times). We provide a thorough statistical analysis of recorded data, resulting in several interesting observations, which reveal how viewing conditions affect human behaviors and perceived quality. The database is available at https: //github.com/Yao-Yiru/VR-Video-Database.",

keywords = "360° videos, Perceived Quality, Scanpaths",

author = "Yuming Fang and Yiru Yao and Xiangjie Sui and Kede Ma",

note = "Research Unit(s) information for this publication is provided by the author(s) concerned.; 30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR 2023) ; Conference date: 25-03-2023 Through 29-03-2023",

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doi = "10.1109/VRW58643.2023.00204",

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series = "Proceedings - IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW",

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booktitle = "Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops",

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}

Fang, Y, Yao, Y, Sui, X & Ma, K 2023, Subjective Quality Assessment of User-Generated 360° Videos. in Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops: VRW 2023. Proceedings - IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW, IEEE, pp. 723-724, 30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR 2023), Shanghai, China, 25/03/23. https://doi.org/10.1109/VRW58643.2023.00204

Subjective Quality Assessment of User-Generated 360° Videos. / Fang, Yuming; Yao, Yiru; Sui, Xiangjie et al.
Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops: VRW 2023. IEEE, 2023. p. 723-724 (Proceedings - IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

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AU - Fang, Yuming

AU - Yao, Yiru

AU - Sui, Xiangjie

AU - Ma, Kede

N1 - Research Unit(s) information for this publication is provided by the author(s) concerned.

PY - 2023

Y1 - 2023

N2 - In this poster, we establish one of the largest virtual reality (VR) video database, containing 502 user-generated videos with rich content and commingled authentic distortions (often.localized in space and time). We capture viewing behaviors (i.e., scanpaths) of 139 users, and collect their opinion scores of perceived quality under four different viewing conditions (two starting points x two exploration times). We provide a thorough statistical analysis of recorded data, resulting in several interesting observations, which reveal how viewing conditions affect human behaviors and perceived quality. The database is available at https: //github.com/Yao-Yiru/VR-Video-Database.

AB - In this poster, we establish one of the largest virtual reality (VR) video database, containing 502 user-generated videos with rich content and commingled authentic distortions (often.localized in space and time). We capture viewing behaviors (i.e., scanpaths) of 139 users, and collect their opinion scores of perceived quality under four different viewing conditions (two starting points x two exploration times). We provide a thorough statistical analysis of recorded data, resulting in several interesting observations, which reveal how viewing conditions affect human behaviors and perceived quality. The database is available at https: //github.com/Yao-Yiru/VR-Video-Database.

KW - 360° videos

KW - Perceived Quality

KW - Scanpaths

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ER -

Fang Y, Yao Y, Sui X, Ma K. Subjective Quality Assessment of User-Generated 360° Videos. In Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops: VRW 2023. IEEE. 2023. p. 723-724. (Proceedings - IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW). Epub 2023 May 1. doi: 10.1109/VRW58643.2023.00204

Subjective Quality Assessment of User-Generated 360° Videos

Abstract

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Research Keywords

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