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Mining web videos for video quality assessment
2010 International Conference of Soft Computing and Pattern Recognition, 2010Correlating estimates of objective measures related to the presence of different coding artifacts with the quality of video as perceived by human observers is a non-trivial task. There is no shortage of data to learn from, thanks to the Internet and web-sites such as YouTubetm.
Dubravko Culibrk +3 more
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A Metric for Video Blending Quality Assessment
IEEE Transactions on Image Processing, 2020We propose an objective approach to assess the quality of video blending. Blending is a fundamental operation in video editing, which can smooth the intensity changes of relevant regions. However blending also generates artefacts such as bleeding and ghosting.
Zhe Zhu +3 more
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Perceptual Quality Assessment of Internet Videos
Proceedings of the 29th ACM International Conference on Multimedia, 2021With the fast proliferation of online video sites and social media platforms, user, professionally and occupationally generated content (UGC, PGC, OGC) videos are streamed and explosively shared over the Internet. Consequently, it is urgent to monitor the content quality of these Internet videos to guarantee the user experience.
Jiahua Xu 0001 +5 more
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Video quality ruler: A new experimental methodology for assessing video quality
2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX), 2015In this paper, we propose a subjective video quality assessment method called video quality ruler (VQR) that can be employed to determine the perceived quality of video sequences. The described method is an extension of the ISO 20462, which is a method to assess image quality. The VQR method provides an interface with a set of pictures.
Pedro Garcia Freitas +3 more
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Temporal quality assessment for mobile videos
Proceedings of the 18th annual international conference on Mobile computing and networking, 2012Video quality assessment in mobile devices, for instances smart phones and tablets, raises unique challenges such as unavailability of original videos, the limited computation power of mobile devices and inherent characteristics of wireless networks (packet loss and delay). In this paper, we present a metric, Temporal Variation Metric (TVM), to measure
An (Jack) Chan +3 more
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Visual quality assessment for web videos
Journal of Visual Communication and Image Representation, 2010The advent of video-sharing sites such as YouTube has led to an unprecedented Internet delivery of community-contributed video content. However, most of these videos are not quality-controlled. This paper reports a first attempt towards assessing web videos in terms of visual quality with significant tests on 30k web videos.
Tian Xia 0002 +4 more
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Perceptual quality assessment of nighttime video
Displays, 2021Abstract The quality of nighttime videos is important for consumer photography and monitoring of video clearness. However, little work has been done on the study of nighttime video quality assessment. In this paper, to the best of our knowledge, we explore the study on the nighttime video quality assessment for the first time.
Da Pan 0001 +3 more
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Subjective quality assessment of 3D videos
IEEE Africon '11, 2011Colour plus depth map based stereoscopic video has attracted significant attention in the last 10 years, as it can reduce storage and bandwidth requirements for the transmission of stereoscopic content over wireless channels such as mobile networks.
Umar A. Sadiq +2 more
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Objective quality assessment for compressed video
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003We propose a new objective quality metric for evaluating image and video quality in coding applications. In this metric, visual quality scores are given based on a combination of three factors: visually masked error, blurring distortion and structural distortion.
Susu Yao +4 more
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Motion-aware video quality assessment
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017This work focuses on considering motion towards improving video quality assessment algorithms. The improvement refers to improving computational video quality assessment algorithms in order to be in closer agreement with the subjective evaluation of video quality.
Marina Georgia Arvanitidou +1 more
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