IST - Viewport Navigation Video Dataset

Citation Author(s):
FALAH
JABAR
IST- Instituto de Telecomunicações
Submitted by:
FALAH RAHIM
Last updated:
Tue, 10/25/2022 - 11:06
DOI:
10.21227/dnhb-7v24
License:
Creative Commons Attribution
107 Views
Categories:
Image Processing
Keywords:
Omnidirectional images, Virtual Reality, 360° image, Quality Assessment, field of view
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Abstract 

Sixteen omnidirectional images, taken from Salient360! [1] dataset, were used in the subjective test. The viewport videos are rendered using rectilinear projection. The pairwise comparison (PC) was selected as the subjective test method. More details on the viewport videos and the subject test procedures can be found in [2].

[1] J. Gutiérrez, E. J. David, A. Coutrot, M. Silva, and P. Le Callet, “Introducing UN Salient360!Benchmark: A Platform for Evaluating Visual Attention Models for 360° contents,” in International Conference on Quality of Multimedia Experience (QoMEX), Sardinia, Italy, May 2018.

[2] F. Jabar, J. Ascenso, and M.P. Queluz, “Field-of-View Effect on the Perceived Quality of Omnidirectional Images,” Proc. of the IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Athlone, Ireland, Jul. 2020.

Instructions: 
  • Per image, 6 navigation videos, with a length of 10 seconds each, were obtained.
  • Each video has a distinct horizontal FoV {75⁰, 90⁰, 100⁰, 110⁰, 120⁰, 135⁰}.
  • The viewport videos from the same image arranged as a pairs: {75⁰, 90⁰}, {90⁰, 100⁰}, {100⁰, 110⁰}, {110⁰, 120⁰}, {120⁰, 135⁰}.
  • For each pair, two videos are shown consequently, and the observer is asked to evaluate the second video relatively to the first one.
  • Pairwise comparison scores are converted to absolute scores (BT scores) using the Bradley-Terry (BT) model [3].

[3] R. A. Bradley, Paired Comparisons: Some Basic Procedures and Examples. Elsevier Science Publishers, Feb. 1984.

 

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