Results 201 to 210 of about 35,358,803 (231)
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A no-reference video quality assessment metric based on ROI
SPIE Proceedings, 2015A no reference video quality assessment metric based on the region of interest (ROI) was proposed in this paper. In the metric, objective video quality was evaluated by integrating the quality of two compressed artifacts, i.e. blurring distortion and blocking distortion.
Lixiu Jia +3 more
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Deep Neural Networks for No-Reference Video Quality Assessment
2019 IEEE International Conference on Image Processing (ICIP), 2019Video quality assessment (VQA) is a challenging task due to the complexity of modeling perceived quality characteristics in both spatial and temporal domains. A novel no-reference (NR) video quality metric (VQM) is proposed in this paper based on two deep neural networks (NN), namely 3D convolution network (3D-CNN) and a recurrent NN composed of long ...
Junyong You, Jari Korhonen
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A novel objective no-reference metric for digital video quality assessment
IEEE Signal Processing Letters, 2005 A novel objective no-reference metric is proposed for video quality assessment of digitally coded videos containing natural scenes. Taking account of the temporal dependency between adjacent images of the videos and characteristics of the human visual ...
Shuai Wan, Hong Ren Wu, Fuzheng Yang
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No-reference video quality assessment via feature learning
2014 IEEE International Conference on Image Processing (ICIP), 2014In this paper, we propose a novel “Opinion Free” (OF) No-Reference Video Quality Assessment (NR-VQA) algorithm based on frame-level unsupervised feature learning and hysteresis temporal pooling. The system consists of three components: feature extraction with max-min pooling, frame quality prediction and temporal pooling. Frame level features are first
Jingtao Xu +3 more
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Efficient Full-Reference Assessment of Image and Video Quality
2007 IEEE International Conference on Image Processing, 2007Automatic quality assessment of digital pictures is a crucial issue in several image and video processing applications including broadcasting, archiving, or restoration. The visibility of impairments related to digital image processing systems is subject to the spatio-temporal properties of the given image or video content.
Patrick Ndjiki-Nya +2 more
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Full-reference video quality assessment on high-definition video content
2012 6th International Conference on Signal Processing and Communication Systems, 2012The paper provided herein aims at investigating two state-of-the-art publicly available full-reference video quality assessment metrics, particularly with regard to high-definition video data. Concretely, we will concentrate on the performance of the Multi-Scale Structural Similarity index (MS-SSIM) and the NTIA General Video Quality Metric (VQM ...
Steffen Wulf, Udo Zölzer
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Learning Based Hybrid No-Reference Video Quality Assessment of Compressed Videos
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019A near real-time no-reference video quality assessment method is proposed for videos encoded by H.264/AVC codec. A fully connected neural network is trained with features extracted from both bit-stream and pixel domains along with their respective subjective quality scores.
Yasamin Fazliani +2 more
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CVD2014—A Database for Evaluating No-Reference Video Quality Assessment Algorithms
IEEE Transactions on Image Processing, 2016In this paper, we present a new video database: CVD2014-Camera Video Database. In contrast to previous video databases, this database uses real cameras rather than introducing distortions via post-processing, which results in a complex distortion space in regard to the video acquisition process.
Virtanen, Toni +6 more
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A Lightweight No-reference Video Quality Assessment Method
2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2023Huiying Shi +3 more
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Reconstruction-based no-reference video quality assessment
2016 IEEE Region 10 Conference (TENCON), 2016Video quality assessment is one of the key techniques in video communication and editing. With constraints of transmission system, storage space etc., original information of videos may not be available. No-reference video quality assessment (NRVQA) methods are in demand.
Zhenyu Wu, Hong Hu
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