Image Processing Reference
In-Depth Information
Chapter 9
Real-Time 3D QoE Evaluation of Novel
3D Media
Chaminda T.E.R. Hewage, Maria G. Martini, Harsha D. Appuhami,
and Christos Politis
Abstract Recent wireless networks enable the transmission of high bandwidth
multimedia data, including advanced 3D video applications. Such wireless mul-
timedia systems should be designed with the purpose of maximizing the quality
perceived by the users. For instance, quality parameters can be measured at the
receiver-side and fed back to the transmitter for system optimization. Measuring
3D video quality is a challenge due to a number of perceptual attributes associated
with 3D video viewing (e.g., image quality, depth perception, naturalness).
Subjective as well as objective metrics have been developed to measure 3D
video quality against different artifacts. However most of these metrics are
Full
-
Reference
(
FR
) quality metrics and require the original 3D video sequence
to measure the quality at the receiver-end. Therefore, these are not a viable
solution for system monitoring/update “on the fly.” This chapter presents a
Near No
-
Reference
(
NR
) quality metric for color plus depth 3D video compres-
sion and transmission using the extracted edge information of color images and
depth maps. This work is motivated by the fact that the edges/contours of the
depth map and of the corresponding color image can represent different depth
levels and identify image objects/boundaries of the corresponding color image
and hence can be used in quality evaluation. The performance of the proposed
method is evaluated for different compression ratios and network conditions. The
results obtained match well those achieved with its counterpart
FR
quality metric
and with subjective tests, with only a few bytes of overhead for the original 3D
image sequence as side-information.
This work was supported in part by the EU FP7 Programme (CONCERTO project).
C.T.E.R. Hewage (
*
) M.G. Martini H.D. Appuhami C. Politis
Kingston University London, Kingston Upon Thames, KT1 2EE, UK
e-mail:
c.hewage@kingston.ac.uk
