Results 201 to 210 of about 34,182,007 (213)
Some of the next articles are maybe not open access.
No-reference pixel based video quality assessment for HEVC decoded video
Journal of Visual Communication and Image Representation, 2017No-reference pixel based codec analysis of HEVC videos.No-reference pixel based estimation of the quantization parameter and PSNR for HEVC videos.No-reference pixel based video quality assessment of HEVC videos.Mapping from the feature space to a quality score using elastic net.Performance measured with content-independent cross-validation and across ...
Xin Huang 0004 +2 more
openaire +2 more sources
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +5 more sources
A Lightweight No-reference Video Quality Assessment Method
2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2023Huiying Shi +3 more
openaire +2 more sources
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
openaire +1 more source
Analysis and Modelling of No-Reference Video Quality Assessment
2009 International Conference on Computer and Automation Engineering, 2009Video processing system may introduce some amounts of distortions in the video signal. It is crucial to measure the video quality blindly for most image processing applications which could not obtain the original image. Different Video Quality Assessment (VQA) methods are analysis in this paper.
null Yuan Tian, null Ming Zhu
openaire +1 more source
A novel no-reference video quality assessment algorithm
2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC), 2018The no-reference video quality evaluation method has become a hotspot and difficulty for video quality evaluation research due to its convenience and lack of reference information. This paper proposed a spatio-temporal domain combined no-reference video quality assessment method.
Lin Yang, Yingyun Yang, Yong Ma
openaire +1 more source
CNN-MR for No Reference Video Quality Assessment
2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017In this paper, we propose a no-reference video quality assessment (VQA) method based on Convolutional Neural Network (CNN) and Multi-Regression (CNN-MR). It is universal for non-specific types of distortion. First, we innovatively introduce the 2D convolutional neural network into VQA model to learn the spatial quality features at frame level.
Chunfeng Wang, Li Su, Qingming Huang
openaire +1 more source
No reference video-quality-assessment model for video streaming services
2010 18th International Packet Video Workshop, 2010We propose a no reference video-quality-assessment model for estimating the quality of experience (QoE) of video streaming services using quality features derived from decoded video signals. The proposed model is useful as a QoE monitoring tool for video streaming services.
Taichi Kawano +3 more
openaire +1 more source