Journal ArticleDOI
Subjective Panoramic Video Quality Assessment Database for Coding Applications
Reads0
Chats0
TLDR
A modified display protocol of the high resolution sequences for the subjective rating test is proposed, in which an optimal display resolution is determined based on the geometry constraints between screen and human eyes, to ensure the reliability of subjective quality opinion in terms of video coding.Abstract:
With the development of virtual reality, higher quality panoramic videos are in great demand to guarantee the immersive viewing experience. Therefore, quality assessment attaches much importance to correlated technologies. Considering the geometric transformation in projection and the limited resolution of head-mounted device (HMD), a modified display protocol of the high resolution sequences for the subjective rating test is proposed, in which an optimal display resolution is determined based on the geometry constraints between screen and human eyes. By sampling the videos to the optimal resolution before coding, the proposed method significantly alleviates the interference of HMD sampling while displaying, thus ensuring the reliability of subjective quality opinion in terms of video coding. Using the proposed display protocol, a subjective quality database for panoramic videos is established for video coding applications. The proposed database contains 50 distorted sequences obtained from ten raw panoramic video sequences. Distortions are introduced with the High Efficiency Video Coding compression. Each sequence is evaluated by 30 subjects on video quality, following the absolute category rating with hidden reference method. The rating scores and differential mean opinion scores (DMOSs) are recorded and included in the database. With the proposed database, several state-of-the-art objective quality assessment methods are further evaluated with correlation analysis. The database, including the video sequences, subjective rating scores and DMOS, can be used to facilitate future researches on coding applications.read more
Citations
More filters
Journal ArticleDOI
State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression
TL;DR: This article reviews both datasets and visual attention modelling approaches for 360° video/image, which either utilize the spherical characteristics or visual attention models, and overviews the compression approaches.
Journal ArticleDOI
Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image
TL;DR: The proposed deep networks consisting of virtual reality quality score predictor and human perception guider outperforms the existing two-dimentional image quality models and the state-of-the-art imagequality models for omnidirectional images.
Proceedings ArticleDOI
Spherical Structural Similarity Index for Objective Omnidirectional Video Quality Assessment
TL;DR: The proposed spherical structural similarity index (S-SSIM) outperforms state-of-the-art objective quality assessment metrics in omnidirectional video quality assessment.
Posted Content
State-of-the-art in 360{\deg} Video/Image Processing: Perception, Assessment and Compression
TL;DR: In this article, the authors review the state-of-the-art works on 360° video/image processing from the aspects of perception, assessment and compression, and summarize this overview paper and outlook the future research trends.
Journal ArticleDOI
Visual Distortions in 360° Videos
Roberto Gerson de Albuquerque Azevedo,Neil Birkbeck,Francesca De Simone,Ivan Janatra,Balu Adsumilli,Pascal Frossard +5 more
TL;DR: This paper provides a first comprehensive review of the most common visual distortions that alter 360-degree signals undergoing state of the art processing in common applications, essential as a basis for benchmarking different processing techniques, allowing the effective design of new algorithms and applications.
References
More filters
Journal ArticleDOI
Study of Subjective and Objective Quality Assessment of Video
TL;DR: A recent large-scale subjective study of video quality on a collection of videos distorted by a variety of application-relevant processes results in a diverse independent public database of distorted videos and subjective scores that is freely available.
Journal ArticleDOI
Image database TID2013
Nikolay Ponomarenko,Lina Jin,Oleg Ieremeiev,Vladimir V. Lukin,Karen Egiazarian,Jaakko Astola,Benoit Vozel,Kacem Chehdi,Marco Carli,Federica Battisti,C.-C. Jay Kuo +10 more
TL;DR: This paper describes a recently created image database, TID2013, intended for evaluation of full-reference visual quality assessment metrics, and methodology for determining drawbacks of existing visual quality metrics is described.
Journal ArticleDOI
Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison
TL;DR: A classification scheme for full-reference and reduced-reference media-layer objective video quality assessment methods is introduced and it is found that the natural visual statistics based MultiScale-Structural SIMilarity index (MS-SSIM), thenatural visual feature based Video Quality Metric (VQM), and the perceptual spatio-temporal frequency-domain based MOtion-based Video Integrity Evaluation (MOVIE) index give the best performance for the LIVE Video Quality Database.
Journal ArticleDOI
The impact of perception and presence on emotional reactions: a review of research in virtual reality.
TL;DR: The crucial role of perception on eliciting emotional reactions is highlighted, and the role of arousal as a basic dimension of emotional experience is discussed, suggesting an interoceptive attribution model of presence as a first step toward an integrative framework for emotion research in VR.