Image Processing Reference
In-Depth Information
Chapter 4
Full Parallax 3D Video Content Compression
Antoine Dricot, Joel Jung, Marco Cagnazzo, B
´
atrice Pesquet,
and Frederic Dufaux
Abstract Motion parallax is a key cue in the perception of the depth that current
3D stereoscopy and auto-stereoscopy technologies are not able to reproduce.
Integral imaging and Super Multi-View video (SMV) are 3D technologies that
allow creating a light-field representation of a scene with a smooth full motion
parallax (i.e., in horizontal and vertical directions). However the large amount of
data required is challenging and implies a need for new efficient coding technolo-
gies. This chapter first describes integral imaging and SMV content, acquisition,
and display. Then it provides an overview of state-of-the-art methods for full
parallax 3D content compression. Finally, several coding schemes are compared
and a coding structure that exploits inter-view correlations in both horizontal and
vertical directions is proposed. The new structure provides a rate reduction (for the
same quality) up to 29.1% when compared to a basic anchor structure. Neighboring
Block Disparity Vector (NBDV) and Inter-View Motion Prediction (IVMP) coding
tools are further improved to efficiently exploit coding structures in two dimen-
sions, with rate reduction up to 4.2% with respect to the reference 3D-HEVC
encoder.
A. Dricot
Orange Labs, Equinoxe 4 avenue du 8 Mai 1945, 78280 Guyancourt, France
Institut Mines-T´l´com; T´l´com ParisTech; CNRS LTCI,
46 rue Barrault, 75634 Paris, Cedex 13, France
J. Jung
Orange Labs, Equinoxe 4 avenue du 8 Mai 1945, 78280 Guyancourt, France
M. Cagnazzo (
*
) • B. Pesquet • F. Dufaux
Institut Mines-T´l´com; T´l´com ParisTech; CNRS LTCI,
46 rue Barrault, 75634 Paris, Cedex 13, France
e-mail:
cagnazzo@telecom-paristech.fr
