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Quality Assessment of Mobile Videos

2014
Video consumption in mobile environments has become very popular these days. Accordingly, the issue of how to maximize users’ satisfaction for delivered video contents has arisen as an important research problem. Therefore, it is crucial to understand and model the perceptual mechanism of quality of experience (QoE) of mobile videos.
Manri Cheon   +3 more
openaire   +1 more source

Image and Video Quality Assessment

2014
Recently, there is a striking rise in the interest and demand of accurate image quality assessment algorithms. Image and video quality assessment plays an important role in optimizing, benchmarking, monitoring, and inspecting multimedia systems. Since the human visual system (HVS) is the ultimate receiver of the visual signals, developing quality ...
Wen Gao, Siwei Ma
openaire   +1 more source

Automatic gastroscopy video quality assessment

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014
Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as over ...
Shuai Wang   +5 more
openaire   +1 more source

Salient Motion Features for Video Quality Assessment

IEEE Transactions on Image Processing, 2011
Design of algorithms that are able to estimate video quality as perceived by human observers is of interest for a number of applications. Depending on the video content, the artifacts introduced by the coding process can be more or less pronounced and diversely affect the quality of videos, as estimated by humans.
Dubravko, Ćulibrk   +5 more
openaire   +2 more sources

Digital Video Quality Assessment Algorithms

2009
In this chapter we first describe some HVS-based approaches which try to model the visual processing stream described above, since these approaches were originally used to predict visual quality. We then describe recently proposed structural and information-theoretic approaches and feature-based approaches which are commonly used.
Anush K. Moorthy   +2 more
openaire   +1 more source

Crowdsourced Subjective Video Quality Assessment

2014
This paper describes a crowdsourced subjective video quality method which evaluates various degradation types including wireless packet losses, transmission errors and compression artefacts. In recent times crowdsourcing gained a lot of momentum in various fields.
Dumić, Emil, Grgić, Sonja
openaire   +2 more sources

Objective Video Quality Assessment

International Journal of Engineering Trends and Technology, 2014
N Krishna, M. Siva subramanyam
openaire   +1 more source

Video Quality Assessment

2009
Kalpana Seshadrinathan, Alan C. Bovik
openaire   +1 more source

Time to add screening for financial hardship as a quality measure?

Ca-A Cancer Journal for Clinicians, 2021
Cathy J Bradley   +2 more
exaly  

Blind Video Inpainting Quality Assessment

2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE), 2022
Mohamed Amine Rezki, Amina Serir
openaire   +1 more source

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