Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies

We introduce a new video quality database that models video distortions in heavily-trafficked wireless networks and that contains measurements of human subjective impressions of the quality of videos. The new LIVE Mobile Video Quality Assessment (VQA) database consists of 200 distorted videos create...

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Published in:	IEEE journal of selected topics in signal processing Vol. 6; no. 6; pp. 652 - 671
Main Authors:	Moorthy, A. K., Lark Kwon Choi, Bovik, A. C., de Veciana, G.
Format:	Journal Article
Language:	English
Published:	IEEE 01.10.2012
Subjects:	Cameras Humans Mobile communication Mobile handsets Mobile video quality objective algorithm evaluations Streaming media subjective quality video quality assessment video quality database Wireless communication
ISSN:	1932-4553, 1941-0484
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Abstract	We introduce a new video quality database that models video distortions in heavily-trafficked wireless networks and that contains measurements of human subjective impressions of the quality of videos. The new LIVE Mobile Video Quality Assessment (VQA) database consists of 200 distorted videos created from 10 RAW HD reference videos, obtained using a RED ONE digital cinematographic camera. While the LIVE Mobile VQA database includes distortions that have been previously studied such as compression and wireless packet-loss, it also incorporates dynamically varying distortions that change as a function of time, such as frame-freezes and temporally varying compression rates. In this article, we describe the construction of the database and detail the human study that was performed on mobile phones and tablets in order to gauge the human perception of quality on mobile devices. The subjective study portion of the database includes both the differential mean opinion scores (DMOS) computed from the ratings that the subjects provided at the end of each video clip, as well as the continuous temporal scores that the subjects recorded as they viewed the video. The study involved over 50 subjects and resulted in 5,300 summary subjective scores and time-sampled subjective traces of quality. In the behavioral portion of the article we analyze human opinion using statistical techniques, and also study a variety of models of temporal pooling that may reflect strategies that the subjects used to make the final decision on video quality. Further, we compare the quality ratings obtained from the tablet and the mobile phone studies in order to study the impact of these different display modes on quality. We also evaluate several objective image and video quality assessment (IQA/VQA) algorithms with regards to their efficacy in predicting visual quality. A detailed correlation analysis and statistical hypothesis testing is carried out. Our general conclusion is that existing VQA algorithms are not well-equipped to handle distortions that vary over time. The LIVE Mobile VQA database, along with the subject DMOS and the continuous temporal scores is being made available to researchers in the field of VQA at no cost in order to further research in the area of video quality assessment.
AbstractList	We introduce a new video quality database that models video distortions in heavily-trafficked wireless networks and that contains measurements of human subjective impressions of the quality of videos. The new LIVE Mobile Video Quality Assessment (VQA) database consists of 200 distorted videos created from 10 RAW HD reference videos, obtained using a RED ONE digital cinematographic camera. While the LIVE Mobile VQA database includes distortions that have been previously studied such as compression and wireless packet-loss, it also incorporates dynamically varying distortions that change as a function of time, such as frame-freezes and temporally varying compression rates. In this article, we describe the construction of the database and detail the human study that was performed on mobile phones and tablets in order to gauge the human perception of quality on mobile devices. The subjective study portion of the database includes both the differential mean opinion scores (DMOS) computed from the ratings that the subjects provided at the end of each video clip, as well as the continuous temporal scores that the subjects recorded as they viewed the video. The study involved over 50 subjects and resulted in 5,300 summary subjective scores and time-sampled subjective traces of quality. In the behavioral portion of the article we analyze human opinion using statistical techniques, and also study a variety of models of temporal pooling that may reflect strategies that the subjects used to make the final decision on video quality. Further, we compare the quality ratings obtained from the tablet and the mobile phone studies in order to study the impact of these different display modes on quality. We also evaluate several objective image and video quality assessment (IQA/VQA) algorithms with regards to their efficacy in predicting visual quality. A detailed correlation analysis and statistical hypothesis testing is carried out. Our general conclusion is that existing VQA algorithms are not well-equipped to handle distortions that vary over time. The LIVE Mobile VQA database, along with the subject DMOS and the continuous temporal scores is being made available to researchers in the field of VQA at no cost in order to further research in the area of video quality assessment.
Author	Bovik, A. C. Lark Kwon Choi Moorthy, A. K. de Veciana, G.
Author_xml	– sequence: 1 givenname: A. K. surname: Moorthy fullname: Moorthy, A. K. email: anushmoorthy@gmail.com organization: Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA – sequence: 2 surname: Lark Kwon Choi fullname: Lark Kwon Choi email: larkkwonchoi@gmail.com organization: Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA – sequence: 3 givenname: A. C. surname: Bovik fullname: Bovik, A. C. email: bovik@ece.utexas.edu organization: Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA – sequence: 4 givenname: G. surname: de Veciana fullname: de Veciana, G. email: gustavo@ece.utexas.edu organization: Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
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SubjectTerms	Cameras Humans Mobile communication Mobile handsets Mobile video quality objective algorithm evaluations Streaming media subjective quality video quality assessment video quality database Wireless communication
Title	Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies
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