Results 11 to 20 of about 34,182,007 (213)
An Efficient Method for No-Reference Video Quality Assessment [PDF]
Journal of Imaging, 2021 Methods for No-Reference Video Quality Assessment (NR-VQA) of consumer-produced video content are largely investigated due to the spread of databases containing videos affected by natural distortions.
Mirko Agarla +2 more
doaj +9 more sources
Reduced reference image and video quality assessments: review of methods [PDF]
EURASIP Journal on Image and Video Processing, 2022 With the growing demand for image and video-based applications, the requirements of consistent quality assessment metrics of image and video have increased.
Shahi Dost +5 more
doaj +6 more sources
Predictive no-reference assessment of video quality [PDF]
Signal Processing: Image Communication, 2017 Among the various means to evaluate the quality of video streams, lightweight No-Reference (NR) methods have low computation and may be executed on thin clients. Thus, these methods would be perfect candidates in cases of real-time quality assessment, automated quality control and in adaptive mobile streaming. Yet, existing real-time, NR approaches are
Maria Torres Vega +3 more
openaire +4 more sources
No-Reference Quality Assessment of In-Capture Distorted Videos [PDF]
Journal of Imaging, 2020 We introduce a no-reference method for the assessment of the quality of videos affected by in-capture distortions due to camera hardware and processing software. The proposed method encodes both quality attributes and semantic content of each video frame
Mirko Agarla +2 more
doaj +3 more sources
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild
IEEE Access, 2021 Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild.
Franz Gotz-Hahn +3 more
doaj +6 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
openaire +5 more sources
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
core +5 more sources
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
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
openaire +3 more sources
, 2012 This presentation will target two different topics in video quality assessment. First, we discuss 2D no-reference video quality model development. Further, we discuss how to find suitable quality for 3D video transmission.
Le Callet, Patrick, +8 more
core +9 more sources