Results 221 to 230 of about 190,440 (255)
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Automatic gastroscopy video quality assessment
2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as over ...
Shuai Wang 0003 +5 more
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Quality Assessment of Virtual Reality Videos
2019360-degree spherical images/videos, also called virtual reality (VR) images/videos, can provide an immersive experience of real scenes in some specific systems. This makes it widely used in VR games, sporting events and VR movies. However, due to its high resolution, it is so difficult to transmit, compress or store VR images/videos.
Pei Wu, Ping An, Jian Ma 0005
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Video Quality Assessment on Mobile Devices
2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP), 2018This paper deals with objective and subjective video assessment methods and evaluation of modern video codecs. The paper begins with a short introduction to video quality evaluation methods. Mainly, it focuses on common objective measurement methods such as Peak-to-Signal Noise Ratio, Structural Similarity, M-Singular Value Decomposition and subjective
Petr Cika, Dominik Starha
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No-Reference Video Shakiness Quality Assessment
2017Video shakiness is a common problem for videos captured by hand-hold devices. How to evaluate the influence of video shakiness on human perception and design an objective quality assessment model is a challenging problem. In this work, we first conduct subjective experiments and construct a data-set with human scores.
Zhaoxiong Cui, Tingting Jiang 0001
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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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COME for No-Reference Video Quality Assessment
2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2018Nowadays, the issue of objective Video Quality Assessment (VQA) has been extensively studied. In this paper, we present an effective general-purpose VQA method named COnvolutional neural network and Multi-regression based Evaluation (COME). It requires no referred lossless video and is universal for non-specific types of distortion.
Chunfeng Wang, Li Su 0003, Weigang Zhang
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Video Quality Assessment in the DASH Technique
2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2019The paper presents video quality assessment issues that include different methods. A subjective video quality assessment of the MPEG-4 / H.264 encoded clips, at the selected bitrates and picture resolutions, is shown. The authors underline the necessity of using a subjective approach to complement objective methods and propose the measurement scenario ...
Janusz Klink +3 more
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Crowdsourced Subjective Video Quality Assessment
2014This paper describes a crowdsourced subjective video quality method which evaluates various degradation types including wireless packet losses, transmission errors and compression artefacts. In recent times crowdsourcing gained a lot of momentum in various fields.
Kresimir Sakic, Emil Dumic, Sonja Grgic
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MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Mai Xu, Qunliang Xing, Zhenyu Guan
exaly

