In this paper, we propose a blind VQA model for screen content videos. This model first uses a multi-scale approach to extract several groups of features.
Mar 26, 2024 � We propose the first deep learning approach explicitly designed for NR-SCVQA. First, a multi-channel convolutional neural network (CNN) model is used to�...
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In this paper, we propose a novel NR-VQA algorithm that integrates the fusion of temporal statistics of local and global image features with an ensemble�...
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Mar 13, 2021 � The proposed method exploits a novel sampling module capable of selecting a predetermined number of frames from the whole video sequence on which to base the�...
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Jun 2, 2017 � In this paper, we develop a novel blind/no-reference (NR) model for accessing the perceptual quality of screen content pictures with big data�...
In this paper, we propose a blind VQA model for screen content videos. This model first uses a multi-scale approach to extract several groups of features,�...
Jul 30, 2024 � In this paper, we propose a highly efficient and novel NR 4K VQA technology. Specifically, first, a novel data sampling and training strategy is proposed.
Oct 10, 2022 � In this paper, we propose an effective and efficient NR VQA model for UGC videos. The proposed model extracts the quality-aware features from�...
In this paper, we propose a blind VQA model for screen content videos. This model first uses a multi-scale approach to extract several groups of features,�...
Aug 14, 2014 � In this article, we present a classification and review of latest published research work in the area of NR image and video quality assessment.
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