MultiView perceptual disparity model for super multiView video

Carballeira López, Pablo; Gutiérrez Sánchez, Jesús; Morán Burgos, Francisco; Cabrera Quesada, Julian; Jaureguizar Núñez, Fernando y García Santos, Narciso (2017). MultiView perceptual disparity model for super multiView video. "IEEE journal of selected topics in signal processing", v. 11 (n. 1); pp. 113-124. ISSN 1932-4553. https://doi.org/10.1109/JSTSP.2016.2617302.

Descripción

Título: MultiView perceptual disparity model for super multiView video
Autor/es:
  • Carballeira López, Pablo
  • Gutiérrez Sánchez, Jesús
  • Morán Burgos, Francisco
  • Cabrera Quesada, Julian
  • Jaureguizar Núñez, Fernando
  • García Santos, Narciso
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE journal of selected topics in signal processing
Fecha: Febrero 2017
Volumen: 11
Materias:
Palabras Clave Informales: Perceptual model, quality of experience, subjective evaluation, Super MultiView video
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (3MB) | Vista Previa

Resumen

Super MultiView (SMV) video display is the most promising technology for 3-D glasses-free visualization. Although only a few prototypes are currently available, the research on tech- nical and perceptual factors related to this approach is crucial. This paper presents a novel model to capture the subjective per- ception of SMV, called the MultiView Perceptual Disparity Model (MVPDM), by means of a parametrization of the relation between: 1) capture and scene settings, and 2) perception of speed comfort and smoothness in the viewpoint transition. The MVPDM is based on a novel parameter: the perceptual disparity, that captures ap- propriately the perceptual cues specific to SMV visualization. The model has been validated using the results of subjective tests on re- alistic SMV content as benchmark. On the one hand, the subjective results show a high correlation with the MVPDM parametrization, outperforming previous approaches. On the other hand, this test provides useful information about the parameters of the SMV se- quences that should be used to guarantee satisfactory visual expe- rience. Thus, the MVPDM constitutes a valuable tool for the design of subjective evaluation and content creation of SMV.

Más información

ID de Registro: 50855
Identificador DC: http://oa.upm.es/50855/
Identificador OAI: oai:oa.upm.es:50855
Identificador DOI: 10.1109/JSTSP.2016.2617302
URL Oficial: https://ieeexplore.ieee.org/document/7590045/
Depositado por: Memoria Investigacion
Depositado el: 29 May 2018 16:18
Ultima Modificación: 29 May 2018 16:18
  • GEO_UP4
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • InvestigaM
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM