Compressed Video Quality Index Based on Saliency-Aware Artifact Detection.

Lin, Liqun; Yang, Jing; Wang, Zheng; Zhou, Liping; Chen, Weiling; Xu, Yiwen

Lin, Liqun; Yang, Jing; Wang, Zheng; Zhou, Liping; Chen, Weiling; Xu, Yiwen.

Afiliación

Lin L; Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350002, China.
Yang J; Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350002, China.
Wang Z; Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350002, China.
Zhou L; Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350002, China.
Chen W; Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350002, China.
Xu Y; Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350002, China.

Sensors (Basel) ; 21(19)2021 Sep 26.

Article en En | MEDLINE | ID: mdl-34640751

Asunto(s)

Algoritmos; Artefactos; Presión; Grabación en Video

Palabras clave

Dense Convolutional Network (DenseNet); perceivable encoding artifacts; saliency detection; video quality assessment

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Artefactos Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google