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LARGE-SCALE VIDEO COMPRESSION RESEARCH WORK ON QUALITY OF EXPERIENCE (QOE) EVALUATION

by M. Leszczuk, A. Głowacz, J. Derkacz, A. Dziech, P. Romaniak, B. Szczerba
"... The large variety of video data sources means variability not only in terms of included content, but also in terms of quality. The paper describes a comprehensive evaluation experiment on perceived video quality. Consequently, in summary, 19, 200, 000 video frames will be processed. Given the scale ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
of the experiment, it is set up on a computer cluster in order to accelerate the calculations significantly. This work on Quality of Experience (QoE) is synchronized with that conducted by the Video Quality Experts Group (VQEG). The resulting data will be available to the community as they may be useful in other

Full-Reference Video Quality Assessment Considering Structural Distortion and No-Reference Quality Evaluation of MPEG Video

by Ligang Lu, Zhou Wang, Alan C. Bovik, Jack Kouloheris - in Proc. IEEE Int. Conf. Multimedia , 2002
"... There has been an increasing need recently to develop objective quality measurement techniques that can predict perceived video quality automatically. This paper introduces two video quality assessment models. The first one requires the original video as a reference and is a structural distortion me ..."
Abstract - Cited by 14 (0 self) - Add to MetaCart
measurement based approach, which is different from traditional error sensitivity based methods. Experiments on the video quality experts group (VQEG) test data set show that the new quality measure has higher correlation with subjective quality evaluation than the proposed methods in VQEG's Phase I

Video Quality Assessment Using a Statistical Model of Human Visual Speed Perception

by Zhou Wang, Qiang Li
"... Motion is one of the most important types of information contained in natu-ral video, but direct use of motion information in the design of video quality assessment algorithms has not been deeply investigated. Here we propose to in-corporate a recent model of human visual speed perception [Stocker & ..."
Abstract - Cited by 52 (7 self) - Add to MetaCart
by incorporating the model as spatiotemporal weighting factors, where the weight increases with the information content and decreases with the perceptual uncertainty. Consistent improvement over existing video quality assessment algorithms is observed in our validation with the video quality experts group Phase I

Video Quality Assessment Using Structural Distortion Measurement

by Zhou Wang Ligang, Zhou Wang, Ligang Lu, Alan C. Bovik - in Proc. IEEE Int. Conf. Image Proc , 2002
"... Objective image/video quality measures play important roles in various image/video processing applications, such as compression, communication, printing, analysis, registration, restoration and enhancement. Most proposed quality assessment approaches in the literature are error sensitivity-based met ..."
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-based methods. In this paper, we follow a new philosophy in designing image/video quality metrics, which uses structural distortion as an estimation of perceived visual distortion. We develop a new approach for video quality assessment. Experiments on the video quality experts group (VQEG) test data set shows

Motion Tuned Spatio-temporal Quality Assessment of Natural Videos

by Kalpana Seshadrinathan, Alan C. Bovik - IEEE TRANSACTIONS ON IMAGE PROCESSING , 2010
"... There has recently been a great deal of interest in the development of algorithms that objectively measure the integrity of video signals. Since video signals are being delivered to human end users in an increasingly wide array of applications and products, it is important that automatic methods of ..."
Abstract - Cited by 74 (7 self) - Add to MetaCart
. It is found that the MOVIE index delivers VQA scores that correlate quite closely with human subjective judgment, using the Video Quality Expert Group (VQEG) FRTV Phase 1 database as a test bed. Indeed, the MOVIE index is found to be quite competitive with, and even outperform, algorithms developed

Open collaboration on hybrid video quality models – VQEG Joint Effort Group Hybrid

by Marcus Barkowsky, Nicolas Staelens, Lucjan Janowski
"... Abstract—Several factors limit the advances on automatizing video quality measurement. Modelling the human visual system requires multi- and interdisciplinary efforts. A joint effort may bridge the large gap between the knowledge required in conducting a psychophysical experiment on isolated visual ..."
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and the multitude of open questions as well as industrial requirements that led to the creation of the Joint Effort Group in the Video Quality Experts Group. The paper will zoom in on the first activity, the creation of a hybrid video quality model. I.

ENHANCED FULL-REFERENCE QUALITY ASSESSMENT METHOD FOR IMAGE AND VIDEO

by Hagen Kaprykowsky, Patrick Ndjiki-nya
"... Evaluation and optimization of visual quality is of fundamental importance to numerous image and video processing applications including broadcasting, archiving, and restoration. As quality assessment using subjective tests is very costly and time-consuming, objective measures are required that can ..."
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detection method using spatial segmentation. Experimental evaluations are conducted on two test sets. It is shown that compared to the best quality measure by the Video Quality Experts Group, the proposed method yields the most robust prediction of subjective quality given a wide range of video content.

A structural similarity metric for video based on motion models

by Kalpana Seshadrinathan, Alan C. Bovik - Proc. IEEE International Conference on Acoustics, Speech and Signal Processing , 2007
"... Quality assessment plays a very important role in almost all aspects of multimedia signal processing such as acquisition, coding, display, processing etc. Several objective quality metrics have been proposed for images, but video quality assessment has received relatively little attention and most v ..."
Abstract - Cited by 23 (8 self) - Add to MetaCart
artifacts in video sequences in addition to spatial distortions. Results are presented that demonstrate the efficacy of our quality metric by comparing model performance against subjective scores on the database developed by the Video Quality Experts Group.

unknown title

by unknown authors
"... This paper gives a brief overview of the current state of the art of video quality metrics and discusses their achievements as well as shortcomings. It also summarizes the main standardization efforts by the Video Quality Experts Group (VQEG). It then looks at recent trends and developments in video ..."
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This paper gives a brief overview of the current state of the art of video quality metrics and discusses their achievements as well as shortcomings. It also summarizes the main standardization efforts by the Video Quality Experts Group (VQEG). It then looks at recent trends and developments

Callet, “Standardized Toolchain and Model Development for Video Quality Assessment - The Mission of the Joint Effort

by Nicolas Staelens , Iñigo Sedano , Marcus Barkowsky , Lucjan Janowski , Kjell Brunnström , Patrick Le Callet - Group in VQEG”, Proceedings of the Third International Workshop on Quality of Multimedia Experience (QoMEX
"... ABSTRACT Since 1997, the Video Quality Experts Group (VQEG) has been active in the field of subjective and objective video quality assessment. The group has validated competitive quality metrics throughout several projects. Each of these projects requires mandatory actions such as creating a testpl ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
ABSTRACT Since 1997, the Video Quality Experts Group (VQEG) has been active in the field of subjective and objective video quality assessment. The group has validated competitive quality metrics throughout several projects. Each of these projects requires mandatory actions such as creating a
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