Subjective assessment of super multiview video with coding artifacts

Recio Nogales, Rocío, Carballeira López, Pablo, Gutiérrez Sánchez, Jesús ORCID: https://orcid.org/0000-0001-7878-4712 and García Santos, Narciso ORCID: https://orcid.org/0000-0002-0397-894X (2017). Subjective assessment of super multiview video with coding artifacts. "IEEE Signal processing letters", v. 24 (n. 6); pp. 868-871. ISSN 1070-9908. https://doi.org/10.1109/LSP.2017.2695897.

Descripción

Título: Subjective assessment of super multiview video with coding artifacts
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Signal processing letters
Fecha: Abril 2017
ISSN: 1070-9908
Volumen: 24
Número: 6
Materias:
ODS:
Palabras Clave Informales: 3D-High Efficiency Video Coding (3D-HEVC), multiview perceptual disparity model (MVPDM), quality of experience (QoE), super multiview (SMV) video, subjective assessment, video coding
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The subjective assessment of super multiview (SMV) video considers two main perceptual factors: image quality and visual comfort at the viewpoint transition. While previous works only covered raw content with high levels of visual comfort, this work supersedes them by targeting the subjective assessment of SMV content with coding artifacts. The outcome of this analysis yields important conclusions regarding the relationship between these two factors, indicating that 1) the perceived image quality is independent from the view point change speed, and 2) the perceived visual comfort at the view point transition is independent from the image quality. These conclusions facilitate the extension of the scope of existing subjective perception models, designed for raw SMV content, to coded content.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TEC2013-48453
MR-UHDTV
Sin especificar
Sin especificar
Gobierno de España
RTC-2015-4133-7
MoViSe
Sin especificar
Sin especificar
Gobierno de España
TEC2016-75981
IVME
Sin especificar
Sin especificar
FP7
FP7-PEOPLE-2013-ITN
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 50880
Identificador DC: https://oa.upm.es/50880/
Identificador OAI: oai:oa.upm.es:50880
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5495391
Identificador DOI: 10.1109/LSP.2017.2695897
URL Oficial: https://ieeexplore.ieee.org/document/7904671/
Depositado por: Memoria Investigacion
Depositado el: 29 May 2018 17:01
Ultima Modificación: 12 Nov 2025 00:00