Abstract
This research presents a comprehensive investigation into subjective video shakiness assessment. A collection of 30 shaky videos was gathered, covering relevant categories such as climbing, driving, large parallax, rotation, running, and walking, with different scenes and levels of shakiness. A pairwise comparison (PWC) was conducted, involving human observers who evaluated the perceived quality of shaky videos, and the results have been converted into quality scores using the Just-Objectionable-Differences (JOD) scaling method. The shakiness assessment framework was proved effective by correlations between objective metrics and subjective judgments, and it can serve as a benchmark for future advancements in the field, fostering improvements in video stabilization technologies and applications. The complete dataset is made publicly available through the following link:Shakiness-QuAD.
| Original language | English |
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| Title of host publication | 2024 IEEE International Conference on Image Processing, ICIP 2024 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 1253-1259 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798350349399 |
| DOIs | |
| State | Published - 2024 |
| Event | 31st IEEE International Conference on Image Processing, ICIP 2024 - Abu Dhabi, United Arab Emirates Duration: 27 Oct 2024 → 30 Oct 2024 |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
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| ISSN (Print) | 1522-4880 |
Conference
| Conference | 31st IEEE International Conference on Image Processing, ICIP 2024 |
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| Country/Territory | United Arab Emirates |
| City | Abu Dhabi |
| Period | 27/10/24 → 30/10/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Just-Objectionable-Differences
- pairwise comparison
- Quality assessment
- video shakiness
- Video-stabilization
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing