Mylène C. Q. Farias
Universidade de Brasília (Brazil)
Quality of Experience of Point Cloud Contents
Language: Portuguese
Date: October 27th / 15h00 – 16h15
Abstract
The availability of cheaper sensors and powerful hardware has allowed content providers to make immersive virtual reality experiences available to a broad range of users. These experiences require volumetric photorealistic reconstructions of the real world that demand a high amount of data. In these scenarios, the visual data are represented using a plenoptic illumination function, which is able to represent everything visible from any point in the 3D space. Depending on the capturing device, this representation can be described by holograms, light fields, or Point Clouds (PC) imaging formats. Recently, PCs have emerged as a prominent data format to represent these reconstructions. A PC is a collection of points sampled from the surface of an object with respect to X, Y, and Z coordinates in conjunction with some attributes associated to each point. Examples of attributes are luminance, color, etc. Because PCs require a large number of points to accurately describe a scene of the real world, they can be rather expensive in terms of transmission and storage costs. Therefore, the advent of PC adoption triggered the development of new coding, transmission, and presentation methodologies, along with novel methods for evaluating the visual quality and the user quality of experience (QoE) of PC contents. In fact, JPEG and MPEG committees have been studying and evaluating immersive media objective quality metrics for 6DoF environments, with a focus on PC visual contents. Nevertheless, although PC quality assessment methodologies are an important part of standardization efforts for immersive technologies, their design remains a challenge. In this talk, we will discuss the new developments in Point Clouds Technologies, focusing on how to estimate the quality of these immersive visual contents.
Biography
Mylene C.Q. Farias received her B.Sc. degree in electrical engineering from Federal University of Pernambuco (UFPE), Brazil, in 1995 and her M.Sc. degree in electrical engineering from the State University of Campinas (UNICAMP), Brazil, in 1998. She received her Ph.D. in electrical and computer engineering from the University of California Santa Barbara (UCSB), USA, in 2004 for work in no-reference video quality metrics. Dr. Farias has worked as a research engineer at CPqD (Brazil) in video quality assessment and validation of video quality metrics. She has also worked as an intern for Philips Research Laboratories (The Netherlands) in video quality assessment of sharpness algorithms and for Intel Corporation (Phoenix, USA) developing no-reference video quality metrics. Currently, she is an Associate professor in the Department of Electrical Engineering at the University of Brasilia (UnB), where she is a member of the Graduate Program in Informatics and of the Graduate Program in Electrical Engineering. Dr. Farias is a researcher of the GPDS and her current interests include video quality metrics, video processing, multimedia signal processing, watermarking, and visual attention. Dr. Farias is a member of IEEE, the IEEE Signal Processing Society, ACM, and SPIE. Besides being a reviewer for several journals and conferences, she is currently an Associate Editor for the IEEE Signal Processing Letters, The (Elsevier) Signal Processing: Image Communication Journal, and the Journal of Electronic Imaging.