Icassp 2023 deep noise suppression challenge

H Dubey, A Aazami, V Gopal, B Naderi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the
DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster …

A survey on parametric QoE estimation for popular services

D Tsolkas, E Liotou, N Passas, L Merakos - Journal of network and …, 2017 - Elsevier
As we are moving forward to the 5G era, we are witnessing a transformation in the way
networks are designed and behave, with the end-user placed at the epicenter of any …

Factors influencing the decision to crowdsource: A systematic literature review

NH Thuan, P Antunes, D Johnstone - Information Systems Frontiers, 2016 - Springer
Crowdsourcing is currently attracting much attention from organisations for its competitive
advantages over traditional work structures regarding how to utilise skills and labour and …

Waterloo exploration database: New challenges for image quality assessment models

K Ma, Z Duanmu, Q Wu, Z Wang… - … on Image Processing, 2016 - ieeexplore.ieee.org
The great content diversity of real-world digital images poses a grand challenge to image
quality assessment (IQA) models, which are traditionally designed and validated on a …

Massive online crowdsourced study of subjective and objective picture quality

D Ghadiyaram, AC Bovik - IEEE Transactions on Image …, 2015 - ieeexplore.ieee.org
Most publicly available image quality databases have been created under highly controlled
conditions by introducing graded simulated distortions onto high-quality photographs …

Two-level approach for no-reference consumer video quality assessment

J Korhonen - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
Smartphones and other consumer devices capable of capturing video content and sharing it
on social media in nearly real time are widely available at a reasonable cost. Thus, there is a …

A survey of the use of crowdsourcing in software engineering

K Mao, L Capra, M Harman, Y Jia - Journal of Systems and Software, 2017 - Elsevier
The term 'crowdsourcing'was initially introduced in 2006 to describe an emerging distributed
problem-solving model by online workers. Since then it has been widely studied and …

Large-scale study of perceptual video quality

Z Sinno, AC Bovik - IEEE Transactions on Image Processing, 2018 - ieeexplore.ieee.org
The great variations of videographic skills in videography, camera designs, compression
and processing protocols, communication and bandwidth environments, and displays leads …

Understanding and mitigating worker biases in the crowdsourced collection of subjective judgments

C Hube, B Fetahu, U Gadiraju - … of the 2019 CHI Conference on Human …, 2019 - dl.acm.org
Crowdsourced data acquired from tasks that comprise a subjective component (eg opinion
detection, sentiment analysis) is potentially affected by the inherent bias of crowd workers …

A survey on multimedia services QoE assessment and machine learning-based prediction

G Kougioumtzidis, V Poulkov, ZD Zaharis… - IEEE …, 2022 - ieeexplore.ieee.org
The groundbreaking evolution in mobile and wireless communication networks design in
recent years, in combination with the advancement of mobile terminal equipment …