"3D Quality assessment and beyond"
Ass. Prof. Frederica Battisti, Università degli Studi Roma
Title: 3D Quality assessment and beyond
Date: June 17th 2015
Place: L111, Campus Sundsvall, Mid Sweden University
Depth-Image-Based-Rendering (DIBR) techniques are used for three dimensional (3D) video applications such as 3D Television (3DTV) and Free-Viewpoint Video. However, this process is based on 3D warping and can induce serious distortions whose impact on the perceived quality may be quite different from the one experienced in the 2D image processing. Since quality evaluation of DIBR-synthesized views is fundamental for the design of perceptually-friendly 3D video systems, an appropriate objective quality metric targeting the assessment of DIBR-synthesized views is needed. Most of 2D objective quality metrics fail in assessing the visual quality of DIBR-synthesized views because they have not been conceived for addressing the specificities of DIBR-related distortions. In this talk, a new full-reference objective quality metric, 3DSwIM (3D Synthesized view Image quality Metric), dedicated to artifacts detection in DIBR-synthesized view-points is presented. Moreover many studies show that the quality of experience can be thought as the combination of the perceived visual quality, the perceived depth quality, and the visual fatigue and visual discomfort. For this reason, in this talk the factors involving visual discomfort in stereoscopic video sequences with a focus on binocular rivalry related factors in order to improve objective assessment tools of stereoscopic contents will be addressed. In more details the binocular asymmetries brought by asymmetric High Efficiency Video Coding applied to stereoscopic sequences will be taken into account.
Federica Battisti is non-tenured Assistant Professor in the Department of Engineering at Università degli Studi Roma Tre. She received the Laurea (Master of Science) in Electronic Engineering from Università degli Studi Roma Tre, Rome, Italy, in July 2006 and in March 2010 she received the Ph.D. degree with a thesis titled "Multimedia data hiding based on human perception characteristics". Her main research interests are signal and image processing with focus on subjective quality analysis of visual contents. Her research activity started with the design and implementation of watermarking techniques for granting the ownership protection of images. The investigation on this topic led to the study of quality issues related to the watermark invisibility that resulted in the definition of new image quality metrics and in the contribution to the creation of a widely used database for quality metrics benchmark. The interest on image quality was later extended to video and multi-view imaging. Currently, the area of interest is in the light-field imaging both for efficient depth map estimation and for quality assessment.