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Among the various means to evaluate the quality of video streams, No-Reference (NR) methods have low computation and may be executed on thin clients. Thus, NR algorithms would be perfect candidates in cases of real-time quality assessment,…

Multimedia · Computer Science 2016-04-28 Maria Torres Vega , Decebal Constantin Mocanu , Antonio Liotta

Quality assessment of videos is crucial for many computer graphics applications, including video games, virtual reality, and augmented reality, where visual performance has a significant impact on user experience. When test videos cannot be…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Sipeng Yang , Jiayu Ji , Qingchuan Zhu , Zhiyao Yang , Xiaogang Jin

Video and image quality assessment has long been projected as a regression problem, which requires predicting a continuous quality score given an input stimulus. However, recent efforts have shown that accurate quality score regression on…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Zhengzhong Tu , Chia-Ju Chen , Li-Heng Chen , Yilin Wang , Neil Birkbeck , Balu Adsumilli , Alan C. Bovik

With the increasing demand for audiovisual services, telecom service providers and application developers are compelled to ensure that their services provide the best possible user experience. Particularly, services such as…

Image and Video Processing · Electrical Eng. & Systems 2024-02-29 Koffi Kossi , Stephane Coulombe , Christian Desrosiers , Ghyslain Gagnon

We have developed reduced reference parametric models for estimating perceived quality in audiovisual multimedia services. We have created 144 unique configurations for audiovisual content including various application and network…

Multimedia · Computer Science 2016-04-26 Edip Demirbilek , Jean-Charles Grégoire

Video quality assessment (VQA) is an important processing task, aiming at predicting the quality of videos in a manner highly consistent with human judgments of perceived quality. Traditional VQA models based on natural image and/or video…

Image and Video Processing · Electrical Eng. & Systems 2024-12-12 Qi Zheng , Yibo Fan , Leilei Huang , Tianyu Zhu , Jiaming Liu , Zhijian Hao , Shuo Xing , Chia-Ju Chen , Xiongkuo Min , Alan C. Bovik , Zhengzhong Tu

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…

Computer Vision and Pattern Recognition · Computer Science 2023-02-08 Anastasia Antsiferova , Sergey Lavrushkin , Maksim Smirnov , Alexander Gushchin , Dmitriy Vatolin , Dmitriy Kulikov

Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal acquisition, compression, transmission and display. With the…

Multimedia · Computer Science 2024-02-07 Xiongkuo Min , Huiyu Duan , Wei Sun , Yucheng Zhu , Guangtao Zhai

This paper analyses the application of no-reference metric NIQE to the task of video-codec comparison. A number of issues in the metric behaviour on videos was detected and described. The metric has outlying scores on black and…

Multimedia · Computer Science 2019-08-30 Anastasia Zvezdakova , Dmitriy Kulikov , Denis Kondranin , Dmitriy Vatolin

Point cloud is one of the most widely used digital formats of 3D models, the visual quality of which is quite sensitive to distortions such as downsampling, noise, and compression. To tackle the challenge of point cloud quality assessment…

Image and Video Processing · Electrical Eng. & Systems 2022-09-21 Yu Fan , Zicheng Zhang , Wei Sun , Xiongkuo Min , Wei Lu , Tao Wang , Ning Liu , Guangtao Zhai

This paper presents a video encoding method in which noise is encoded using a novel parametric model representing spectral envelope and spatial distribution of energy. The proposed method has been experimentally assessed using video test…

Image and Video Processing · Electrical Eng. & Systems 2019-09-04 Olgierd Stankiewicz

A key factor in designing 3D systems is to understand how different visual cues and distortions affect the perceptual quality of 3D video. The ultimate way to assess video quality is through subjective tests. However, subjective evaluation…

Computer Vision and Pattern Recognition · Computer Science 2018-03-14 Amin Banitalebi Dehkordi

In the mobile communication field, some of the video applications boosted the interest of robust methods for video quality assessment. Out of all existing methods, We Preferred, No Reference Video Quality Assessment is the one which is most…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Amitesh Kumar Singam , Benny Lövström , Wlodek J. Kulesza

Quality assessment plays a key role in creating and comparing video compression algorithms. Despite the development of a large number of new methods for assessing quality, generally accepted and well-known codecs comparisons mainly use the…

In last decade, ever growing internet technologies provided platform to share the multimedia data among different communities. As the ultimate users are human subjects who are concerned about quality of visual information, it is often…

Multimedia · Computer Science 2014-05-22 Manish K Thakur , Vikas Saxena , J P Gupta

Digital images contain a lot of redundancies, therefore, compressions are applied to reduce the image size without the loss of reasonable image quality. The same become more prominent in the case of videos that contains image sequences and…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Nisar Ahmed , Hafiz Muhammad Shahzad Asif , Hassan Khalid

We propose a new method for the visual quality assessment of 360-degree (omnidirectional) videos. The proposed method is based on computing multiple spatio-temporal objective quality features on viewports extracted from 360-degree videos. A…

Multimedia · Computer Science 2021-05-04 Roberto G. de A. Azevedo , Neil Birkbeck , Ivan Janatra , Balu Adsumilli , Pascal Frossard

We present a no reference (NR) quality assessment algorithm for assessing the perceptual quality of natural stereoscopic 3D (S3D) videos. This work is inspired by our finding that the joint statistics of the subband coefficients of motion…

Computer Vision and Pattern Recognition · Computer Science 2017-11-16 Appina Balasubramanyam , Jalli Akshith , Battula Shanmukh Srinivas , Channappayya S Sumohana

Evaluating the quality of videos generated from text-to-video (T2V) models is important if they are to produce plausible outputs that convince a viewer of their authenticity. We examine some of the metrics used in this area and highlight…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Iya Chivileva , Philip Lynch , Tomas E. Ward , Alan F. Smeaton

The quality of frames is significant for both research and application of video frame interpolation (VFI). In recent VFI studies, the methods of full-reference image quality assessment have generally been used to evaluate the quality of VFI…

Image and Video Processing · Electrical Eng. & Systems 2023-12-27 Jinliang Han , Xiongkuo Min , Yixuan Gao , Jun Jia , Lei Sun , Zuowei Cao , Yonglin Luo , Guangtao Zhai
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