Three-Stream 3D deep CNN for no-Reference stereoscopic video quality assessment-Reference-Cited by-同舟云学术

Three-Stream 3D deep CNN for no-Reference stereoscopic video quality assessment

Published:2022-01 Issue: Volume:13 Page:200059
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Imani Hassan,Islam Md Baharul,Arica Nafiz

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference62 articles.

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2. Study of subjective quality and objective blind quality prediction of stereoscopic videos;Appina;IEEE Transactions on Image Processing,2019

3. No reference stereoscopic video quality assessment using joint motion and depth statistics;Balasubramanyam;2018 25th IEEE International Conference on Image Processing (ICIP),2017

4. Using disparity for quality assessment of stereoscopic images;Benoit,2008

5. Stereoscopic images quality assessment;Campisi,2007

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