Video quality metrics toolkit: An open source software to assess video quality
SoftwareX, 2023 Video content on the Internet continues to grow. As a result, streaming platforms must ensure a certain level of quality when preparing their content. To this end, several metrics have been developed by the research community to evaluate video quality ...
Wilmer Moina-Rivera +2 more
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DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2022 Compared with spatial counterparts, temporal relationships between frames and their influences on video quality assessment (VQA) are still relatively under-studied in existing works.
Haoning Wu +6 more
semanticscholar +1 more source
AVQBits—Adaptive Video Quality Model Based on Bitstream Information for Various Video Applications
IEEE Access, 2022 The paper presents $AVQBits$ , a versatile, bitstream-based video quality model. It can be applied in several contexts such as video service monitoring, evaluation of video encoding quality, of gaming video QoE, and even of omnidirectional video quality.
Rakesh Rao Ramachandra Rao +2 more
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DEMI: Deep Video Quality Estimation Model using Perceptual Video Quality Dimensions [PDF]
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020 Existing works in the field of quality assessment focus separately on gaming and non-gaming content. Along with the traditional modeling approaches, deep learning based approaches have been used to develop quality models, due to their high prediction accuracy.
Zadtootaghaj, Saman +6 more
openaire +2 more sources
Video compression dataset and benchmark of learning-based video-quality metrics [PDF]
Neural Information Processing Systems, 2022 Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based decoding algorithms with perceptual metrics that serve as optimization ...
Anastasia Antsiferova +5 more
semanticscholar +1 more source
On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics
IEEE Access, 2021 Several video quality metrics (VQMs) have been proposed in many publications to predict how humans perceive video quality. It is common to observe significant disagreements amongst the quality predictions of these VQMs for the same video sequence ...
Lohic Fotio Tiotsop +7 more
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Modular Framework and Instances of Pixel-Based Video Quality Models for UHD-1/4K
IEEE Access, 2021 The popularity of video on-demand streaming services increased tremendously over the last years. Most services use http-based adaptive video streaming methods.
Steve Goring +3 more
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UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content [PDF]
IEEE Transactions on Image Processing, 2020 Recent years have witnessed an explosion of user-generated content (UGC) videos shared and streamed over the Internet, thanks to the evolution of affordable and reliable consumer capture devices, and the tremendous popularity of social media platforms ...
Zhengzhong Tu +4 more
semanticscholar +1 more source
Assessment of the Quality of Video Sequences Performed by Viewers at Home and in the Laboratory
Applied Sciences, 2023 The paper presents the results of subjective and objective quality assessments of H.264-, H.265-, and VP9-encoded video. Most of the literature is devoted to subjective quality assessment in well-defined laboratory circumstances.
Janusz Klink +2 more
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Approximate Memory for Low-Power Video Applications
IEEE Access, 2023 In this paper, an error-correction code (ECC)-enabled memory design with selective bit hardening is proposed for approximate data storage. Approximate memory is suitable for error-tolerant applications, and can achieve low-power design goals within ...
H. Das +3 more
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