Work

Uncertainty-Driven Sampling for Efficient Pairwise Comparison Subjective Assessment

Year: 2025

Type: article

Source: IEEE Transactions on Multimedia

DOI: 10.1109/tmm.2025.3613160

Authors: Shima Mohammadi, João Ascenso

Institutions: University of Lisbon, Instituto de Telecomunicações, Instituto Superior Técnico

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4414404692

FWCI: 0.724

Cites: 24

Cited by: 2

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