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No-reference screen content video quality assessment
Displays, 2021Abstract How to effectively and accurately measure the degradation of media content is an important research topic in the field of image or video processing. Application scenarios such as online meetings, distance learning, and live game streaming make screen content video become a hot spot in Video Quality Assessment (VQA) research.
Teng Li 0006 +4 more
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Semantic Information Oriented No-Reference Video Quality Assessment
IEEE Signal Processing Letters, 2021In this letter, a method called Semantic Information Oriented No-Reference (SIONR) video quality assessment model is developed, which can effectively represent quality degradation of video by taking the variations of semantic information into consideration.
Wei Wu +3 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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No-reference video quality assessment on mobile devices
2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2013The explosive growth of video applications and services on mobile devices has made it important to assess video quality. In this paper, we propose a no-reference video quality assessment method for mobile videos. Based on the analysis on common mobile video impairments, three features (blockiness, blurriness and noise) were extracted.
Chen Chen +3 more
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No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble
Proceedings of the 29th ACM International Conference on Multimedia, 2021Blind assessment of video quality is still challenging even in this deep learning era. The limited number of samples in existing databases is insufficient to learn a good feature extractor for video quality assessment (VQA), while manually labeling a larger database with subjective perception is very labor-intensive and time-consuming.
Jinjian Wu +4 more
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Full-Reference Quality Assessment for Video Summary
2008 IEEE International Conference on Data Mining Workshops, 2008As video summarization techniques have attracted more and more attention for efficient multimedia data management, quality assessment of video summary is required. To address the lack of automatic evaluation techniques, this paper proposes a novel framework including several new algorithms to assess the quality of the video summary against a given ...
Tongwei Ren, Yan Liu 0004, Gangshan Wu
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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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Reduced-Reference Video Quality Assessment of Compressed Video Sequences
IEEE Transactions on Circuits and Systems for Video Technology, 2012In this paper, a novel reduced-reference (RR) video quality assessment (VQA) is proposed by exploiting the spatial information loss and the temporal statistical characteristics of the interframe histogram. From the spatial perspective, an energy variation descriptor (EVD) is proposed to measure the energy change of each individual encoded frame, which ...
Lin Ma 0002, Songnan Li, King Ngi Ngan
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Proceedings. IEEE International Conference on Multimedia and Expo, 2003
There has been an increasing need recently to develop objective quality measurement techniques that can predict perceived video quality automatically. This paper introduces two video quality assessment models. The first one requires the original video as a reference and is a structural distortion measurement based approach, which is different from ...
Ligang Lu +3 more
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There has been an increasing need recently to develop objective quality measurement techniques that can predict perceived video quality automatically. This paper introduces two video quality assessment models. The first one requires the original video as a reference and is a structural distortion measurement based approach, which is different from ...
Ligang Lu +3 more
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A full reference stereoscopic video quality assessment metric
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017We propose a full reference stereo video quality assessment algorithm for assessing the perceptual quality of natural stereo videos. We exploit the separable representation of motion and binocular disparity in the visual cortex and develop a four stage algorithm to measure the quality of a stereoscopic video called FLOSIM3D.
Balasubramanyam Appina +2 more
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