Journal ArticleDOI
Study of Subjective and Objective Quality Assessment of Video
TLDR
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.Abstract:
We present the results of a recent large-scale subjective study of video quality on a collection of videos distorted by a variety of application-relevant processes. Methods to assess the visual quality of digital videos as perceived by human observers are becoming increasingly important, due to the large number of applications that target humans as the end users of video. Owing to the many approaches to video quality assessment (VQA) that are being developed, there is a need for a diverse independent public database of distorted videos and subjective scores that is freely available. The resulting Laboratory for Image and Video Engineering (LIVE) Video Quality Database contains 150 distorted videos (obtained from ten uncompressed reference videos of natural scenes) that were created using four different commonly encountered distortion types. Each video was assessed by 38 human subjects, and the difference mean opinion scores (DMOS) were recorded. We also evaluated the performance of several state-of-the-art, publicly available full-reference VQA algorithms on the new database. A statistical evaluation of the relative performance of these algorithms is also presented. The database has a dedicated web presence that will be maintained as long as it remains relevant and the data is available online.read more
Citations
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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
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Deepti Ghadiyaram,Alan C. Bovik +1 more
TL;DR: The LIVE In the Wild Image Quality Challenge Database is designed and created, which contains widely diverse authentic image distortions on a large number of images captured using a representative variety of modern mobile devices, and a new online crowdsourcing system is implemented, which is used to conduct a very large-scale, multi-month image quality assessment (IQA) subjective study.
Journal ArticleDOI
Blind Prediction of Natural Video Quality
TL;DR: It is shown that the proposed NSS and motion coherency models are appropriate for quality assessment of videos, and they are utilized to design a blind VQA algorithm that correlates highly with human judgments of quality.
Journal ArticleDOI
Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors
TL;DR: This paper analyzes the ME structure in HEVC and proposes a parallel framework to decouple ME for different partitions on many-core processors and achieves more than 30 and 40 times speedup for 1920 × 1080 and 2560 × 1600 video sequences, respectively.
Journal ArticleDOI
Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing
TL;DR: A family of reduced reference video quality assessment (QA) models that utilize spatial and temporal entropic differences are presented, adopting a hybrid approach of combining statistical models and perceptual principles to design QA algorithms.
References
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Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
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TL;DR: The Statistical Methods for Psychology as discussed by the authors survey statistical techniques commonly used in the behavioral and social sciences, especially psychology and education, and is suitable for either a one-term or a full-year course, and has been used successfully for both.
Journal ArticleDOI
A universal image quality index
Zhou Wang,Alan C. Bovik +1 more
TL;DR: Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
Proceedings ArticleDOI
Multiscale structural similarity for image quality assessment
TL;DR: This paper proposes a multiscale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions, and develops an image synthesis method to calibrate the parameters that define the relative importance of different scales.