Full Reference Stereoscopic Objective Quality Assessment using Lightweight Machine Learning-Reference-Cited by-同舟云学术

Full Reference Stereoscopic Objective Quality Assessment using Lightweight Machine Learning

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:Brazilian Symposium on Multimedia and Web
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Author:

Dos Santos Bastos Narúsci¹,Ribeiro Dos Santos Ikenoue Lucas Seidy¹,Palomino Daniel¹,Corrêa Guilherme¹,Tavares Tatiana¹,Zatt Bruno¹

Affiliation:

1. CDTec - PPGC - ViTech, Universidade Federal de Pelotas, Brasil

Publisher

ACM

Reference35 articles.

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3. Miguel Thiago Alvarenga. 2014. Utilização da ferramenta j48 para descoberta do conhecimento em bases de dados fitossanitários climáticos e espectrais. Ph. D. Dissertation. Master thesis Universidade Federal de Lavras Minas Gerais Brazil. http://repositorio.ufla.br/jspui/handle/1/31295 Miguel Thiago Alvarenga. 2014. Utilização da ferramenta j48 para descoberta do conhecimento em bases de dados fitossanitários climáticos e espectrais. Ph. D. Dissertation. Master thesis Universidade Federal de Lavras Minas Gerais Brazil. http://repositorio.ufla.br/jspui/handle/1/31295

4. An efficient human visual system based quality metric for 3D video

5. Thiago Bubolz Bruno Zatt Mateus Grellert and Guilherme Corrêa. 2019. Evaluation of Machine Learning Algorithms for Fast Video Transcoding in Streaming Services. In Anais do XXV Simpósio Brasileiro de Sistemas Multimídia e Web (Rio de Janeiro). SBC Porto Alegre RS Brasil 181–184. https://sol.sbc.org.br/index.php/webmedia/article/view/8019 Thiago Bubolz Bruno Zatt Mateus Grellert and Guilherme Corrêa. 2019. Evaluation of Machine Learning Algorithms for Fast Video Transcoding in Streaming Services. In Anais do XXV Simpósio Brasileiro de Sistemas Multimídia e Web (Rio de Janeiro). SBC Porto Alegre RS Brasil 181–184. https://sol.sbc.org.br/index.php/webmedia/article/view/8019