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This presentation will target two different topics in video quality assessment. First, we discuss 2D no-reference video quality model development. Further, we discuss how to find suitable quality for 3D video transmission.
Le Callet, Patrick, +8 more
core +9 more sources
An automatic technique for visual quality classification for MPEG-1 video [PDF]
The Centre for Digital Video Processing at Dublin City University developed Fischlar [1], a web-based system for recording, analysis, browsing and playback of digitally captured television programs.
Murphy, Noel +4 more
core +2 more sources
Version [8.0] – [IV-PSNR: Software for immersive video objective quality evaluation]
This paper describes IV-PSNR v8.0, the second major update of the IV-PSNR software package for objective quality assessment in immersive video systems. Similarly to earlier versions, the software provides robust quality estimation adapted for the unique ...
Jakub Stankowski, Adrian Dziembowski
doaj +1 more source
Version [7.1] – [IV-PSNR: Software for immersive video objective quality evaluation]
This paper describes a new version of the IV-PSNR software, developed for the effective objective quality assessment of immersive video. Version 7.1 includes the calculation of structural similarity between compared sequences using the IV-SSIM metric ...
Jakub Stankowski, Adrian Dziembowski
doaj +1 more source
Hierarchical Objective Quality Assessment for CS Video in WMSN
Compressive sensing (CS) is a sub-Nyquist sampling way while still enabling exact reconstruction, which is applicable to WMSN. In this paper, based on the characteristic of CS video in WMSN, we proposed a hierarchical objective CS video quality ...
Shouning Chen, Baoyu Zheng, Yujuan Zhao
doaj +1 more source
Predictive no-reference assessment of video quality [PDF]
Among the various means to evaluate the quality of video streams, light-weight No-Reference (NR) methods have low computation and may be executed on thin clients.
Liotta, A. +13 more
core +1 more source
Overview of state-of-the-art and future of networked video quality assessment
Assessment of networked video quality is the key to ensure the quality of service for networked video applications.From the viewpoint of the employed video information and the level of access to the bit-stream,objective quality-assessment models can be ...
Fu-zheng YANG, Shuai WAN
doaj +2 more sources
Evaluation of automatic video captioning using direct assessment. [PDF]
We present Direct Assessment, a method for manually assessing the quality of automatically-generated captions for video. Evaluating the accuracy of video captions is particularly difficult because for any given video clip there is no definitive ground ...
Yvette Graham, George Awad, Alan Smeaton
doaj +1 more source
Assessment of the Quality of Video Sequences Performed by Viewers at Home and in the Laboratory
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
doaj +1 more source
Deep learning for quality assessment in live video streaming [PDF]
Video content providers put stringent requirements on the quality assessment methods realized on their services. They need to be accurate, real-time, adaptable to new content, and scalable as the video set grows.
Liotta, A. +20 more
core +2 more sources

