Results 11 to 20 of about 84,122 (290)
No-Reference Video Quality Assessment Using the Temporal Statistics of Global and Local Image Features [PDF]
Sensors, 2022 During acquisition, storage, and transmission, the quality of digital videos degrades significantly. Low-quality videos lead to the failure of many computer vision applications, such as object tracking or detection, intelligent surveillance, etc.
Domonkos Varga
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No-Reference Video Quality Assessment Using Multi-Pooled, Saliency Weighted Deep Features and Decision Fusion [PDF]
Sensors, 2022 With the constantly growing popularity of video-based services and applications, no-reference video quality assessment (NR-VQA) has become a very hot research topic.
Domonkos Varga
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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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Feature‐based no‐reference video quality assessment using Extra Trees
IET Image Processing, 2022 With the emergence of social networks and improvements in the internet speed, the video data has become an ever‐increasing portion of the global internet traffic.
Hatef Otroshi‐Shahreza +2 more
doaj +2 more sources
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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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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No-Reference Video Quality Assessment Using Codec Analysis [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2015 A no-reference (NR) video quality assessment (VQA) method is presented for videos distorted by H.264/Advanced Video Coding (AVC) and MPEG-2. The assessment is performed without access to the bitstream. Instead, we analyze and estimate coefficients based on decoded pixels.
Jacob Søgaard +2 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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No-reference Video Quality Assessment and Applications.
, 2014 published
Zhu, Kongfeng
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Three-Stream 3D deep CNN for no-Reference stereoscopic video quality assessment
Intelligent Systems with Applications, 2022 Convolutional Neural Networks (CNNs) have achieved great success in learning computer vision tasks, particularly 3D CNNs, for extracting spatio-temporal features from the given videos.
Hassan Imani +2 more
doaj +1 more source