Speeding Up Subjective Video Quality Assessment via Hybrid Active Learning-Reference-Cited by-同舟云学术

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Speeding Up Subjective Video Quality Assessment via Hybrid Active Learning

Published:2023-03 Issue:1 Volume:69 Page:165-178
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Liu Xiaochen¹^ORCID,Song Wei¹^ORCID,He Qi¹,Di Mauro Mario²^ORCID,Liotta Antonio³^ORCID

Affiliation:

1. College of Information, Shanghai Ocean University, Shanghai, China

2. Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Salerno, Italy

3. Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

Funder

National Natural Science Foundation of China (NSFC) Projects

Program for the Development of Shanghai Local Colleges

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/11/10059242/09912322.pdf?arnumber=9912322

Reference50 articles.

1. An active learning method based on three-way decision model;feng;Control Decis,0

2. Batch Mode Active Learning for Regression With Expected Model Change

3. Active probabilistic sample selection for intelligent soft sensing of industrial processes

4. Pool-Based Sequential Active Learning for Regression

5. A Comparative Survey: Benchmarking for Pool-based Active Learning

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1. A Human-in-the-Loop Based ML Framework to Estimate User’s QoE on Cloud Gaming Using Active Learning;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03

2. Enhancing User Experience in Ultra HD Cloud Performing Arts Live Streaming: A QoS-to-QoE Mapping Approach;IEEE Transactions on Broadcasting;2024-06

3. Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach;Computer Communications;2024-03

4. Assessing objective video quality in multi-screen video delivery;Applications of Digital Image Processing XLVI;2023-10-04

5. Enabling Perception-Driven Optimization in Networking;ACM SIGMETRICS Performance Evaluation Review;2023-09-28

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