In free-viewpoint television (FTV) framework, due to hardware and bandwidth constraints, only a limited number of viewpoints are generally captured, coded and transmitted; therefore, a large number of views needs to be synthesized at the receiver to grant a really immersive 3D experience. It is thus evident that the estimation of the quality of the synthesized views is of paramount importance. Moreover, quality assessment of the synthesized view is very challenging since the corresponding original views are generally not available either on the encoder (not captured) or the decoder side (not transmitted). To tackle the mentioned issues, this paper presents an algorithm to estimate the quality of the synthesized images in the absence of the corresponding reference images. The algorithm is based upon the cyclopean eye theory. The statistical characteristics of an estimated cyclopean image are compared with the synthesized image to measure its quality. The prediction accuracy and reliability of the proposed technique are tested on standard video dataset compressed with HEVC showing excellent correlation results with respect to state-of-the-art full reference image and video quality metrics.

Objective quality metric for 3D virtual views

FARID, MUHAMMAD SHAHID;LUCENTEFORTE, Maurizio;GRANGETTO, Marco
2015

Abstract

In free-viewpoint television (FTV) framework, due to hardware and bandwidth constraints, only a limited number of viewpoints are generally captured, coded and transmitted; therefore, a large number of views needs to be synthesized at the receiver to grant a really immersive 3D experience. It is thus evident that the estimation of the quality of the synthesized views is of paramount importance. Moreover, quality assessment of the synthesized view is very challenging since the corresponding original views are generally not available either on the encoder (not captured) or the decoder side (not transmitted). To tackle the mentioned issues, this paper presents an algorithm to estimate the quality of the synthesized images in the absence of the corresponding reference images. The algorithm is based upon the cyclopean eye theory. The statistical characteristics of an estimated cyclopean image are compared with the synthesized image to measure its quality. The prediction accuracy and reliability of the proposed technique are tested on standard video dataset compressed with HEVC showing excellent correlation results with respect to state-of-the-art full reference image and video quality metrics.
IEEE International Conference on Image Processing, ICIP 2015
can
2015
Proceedings - International Conference on Image Processing, ICIP
IEEE Computer Society
2015-
3720
3724
9781479983391
9781479983391
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7351499&queryText=grangetto&ranges=2015_2016_Year
depth image based rendering; FTV; HEVC; Quality assessment; view synthesis;
Farid, Muhammad Shahid; Lucenteforte, Maurizio; Grangetto, Marco
File in questo prodotto:
File Dimensione Formato  
articleICIP15_3DQ.pdf

Accesso aperto

Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 444.09 kB
Formato Adobe PDF
444.09 kB Adobe PDF Visualizza/Apri
07351499.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 786.71 kB
Formato Adobe PDF
786.71 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1557627
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 17
social impact