Results 31 to 40 of about 80,728 (157)
Review of Research on Video Quality Assessment Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Video quality assessment (VQA) is based on the subjective quality assessment results of the human eye, using models to evaluate distorted videos. It is difficult for traditional assessment methods to make subjective assessment results consistent with ...
TAN Yaya, KONG Guangqian
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Study of No-Reference Video Quality Metrics for HEVC Compression
Journal of Telecommunications and Information Technology, 2016 The paper proposes a No-Reference (NR) quality assessment measurement originally developed for H.264, used for High Efficiency Video Coding (HEVC). In particular, authors present an investigation of NR metrics to objectively estimate the perceptual ...
Mikołaj Leszczuk +4 more
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A spatiotemporal no-reference video quality assessment model
2013 IEEE International Conference on Image Processing, 2013 Many researchers have been developing objective video quality assessment methods due to increasing demand for perceived video quality measurement results by end users to speed-up advancements of multimedia services. However, most of these methods are either Full-Reference (FR) metrics, which require the original video or Reduced-Reference (RR) metrics,
Baris Konuk +3 more
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A no-reference video quality assessment based on Laplacian pyramids [PDF]
2013 IEEE International Conference on Image Processing, 2013 This paper presents an approach to predict the quality of compressed videos with content of natural scenes. The method is focused on measuring the distortion of compressed video without reference. There are two main steps of the proposed method: measuring distortion and predicting video quality.
Zhu, Kongfeng +3 more
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Sensors, 2022 An objective stereo video quality assessment (SVQA) strives to be consistent with human visual perception while ensuring a low time and labor cost of evaluation.
Fenghao Gu, Zhichao Zhang
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Multi-Dimensional Feature Fusion Network for No-Reference Quality Assessment of In-the-Wild Videos
Sensors, 2021 Over the past few decades, video quality assessment (VQA) has become a valuable research field. The perception of in-the-wild video quality without reference is mainly challenged by hybrid distortions with dynamic variations and the movement of the ...
Jiu Jiang +4 more
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A comparative study on no-reference Video Quality Assessment metrics
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 In the last two decades the Internet technology has boosted and the connection speeds have been incrased from kilobits to hundred megabits scale. With the rising coverage of the Internet and the usage of mobile devices such as tablets and smart phones, the usage of social media and especially multimedia elements has been increased rapidly.
Emin Zerman +3 more
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Theory and practice of quality of experience in video services
Dianxin kexue, 2017 As videos becoming the major sources of acquiring information in current era,consumers have raised their expectations for video quality experience,which has become the most critical competitiveness for video service providers.A thorough review of quality
Tiantian HE, Yankai LIU, Li SONG
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EMAN: The Human Visual Feature Based No-Reference Subjective Quality Metric
IEEE Access, 2019 As the human vision is a definitive assessor of video quality, the expanded interest for no-reference subjective quality assessment (SQA) is focusing on a definitive goal of coordinating with human observation.
Pallab Kanti Podder +2 more
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An experimental survey of no-reference video quality assessment methods [PDF]
International Journal of Pervasive Computing and Communications, 2016 Purpose The Video Quality Metric (VQM) is one of the most used objective methods to assess video quality, because of its high correlation with the human visual system (HVS). VQM is, however, not viable in real-time deployments such as mobile streaming, not only due to its high computational demands but also because, as a Full Reference (FR) metric, it
Maria Torres Vega +3 more
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