Results 241 to 250 of about 911,018 (282)
Some of the next articles are maybe not open access.
Perceptual Video Quality Metric for 3D video quality assessment
2010 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2010One method of evaluating the quality of stereoscopic video is the use of conventional two dimensional (2D) objective metrics. Metrics with good representation of the Human Visual System (HVS) will present more accurate evaluation. In this paper we propose a perceptual based objective metric for 2D videos for 3D video quality evaluation.
Joveluro P. +3 more
openaire +1 more source
Foveated video quality assessment
IEEE Transactions on Multimedia, 2002Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective criteria such as signal-to-noise-ratio (SNR) or have been evaluated, post-design, against competing methods using an objective sample measure.
null Sanghoon Lee +2 more
openaire +1 more source
Spatiotemporal Statistics for Video Quality Assessment
IEEE Transactions on Image Processing, 2016It is an important task to design models for universal no-reference video quality assessment (NR-VQA) in multiple video processing and computer vision applications. However, most existing NR-VQA metrics are designed for specific distortion types, which are not often aware in practical applications.
Xuelong Li, Qun Guo, Xiaoqiang Lu
openaire +3 more sources
Attention Driven Foveated Video Quality Assessment
IEEE Transactions on Image Processing, 2014Contrast sensitivity of the human visual system to visual stimuli can be significantly affected by several mechanisms, e.g., vision foveation and attention. Existing studies on foveation based video quality assessment only take into account static foveation mechanism.
Junyong, You +2 more
openaire +2 more sources
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
openaire +1 more source
Objective video quality assessment
Optical Engineering, 2006We propose a new method for an objective measurement of video quality. By analyzing subjective scores of various video sequences, we find that the human visual system is particularly sensitive to degradation around edges. In other words, when edge areas of a video sequence are degraded, evaluators tend to give low quality scores to the video, even ...
openaire +1 more source
Research on Video Quality Assessment
Journal of Multimedia, 2012Objective quality assessment plays a very important role in the video applications, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Objective video quality assessment still has a long way to go before it reaches the level of success. Perception video sequences quality metrics are of great
Chunting Yang, Yang Liu, Jing Yu
openaire +1 more source
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
openaire +1 more source
Software for video quality assessment
2016 39th International Conference on Telecommunications and Signal Processing (TSP), 2016This paper deals with objective video assessment methods. The paper begins with a short introduction to video quality evaluation methods. Mainly it is concentrated to common objective measurement methods including Peak to Signal Noise Ratio (PSNR), Structural Similarity (SSIM), and Mean-Singular Value Decomposition (M-SVD).
Petr Cika, Dominik Kovac, Jan Bilek
openaire +1 more source
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
openaire +2 more sources