Image Processing Reference
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corresponding to the images captured by N cameras (either real or virtual), with a
controlled spatial arranged. In order to avoid a linear escalation of the bitrate,
associated with the use of multiple views, video-plus-depth formats have been
proposed. A small number of colour and depth video sequences are used to
synthesise intermediate colour views at a different space position, through a
depth-image-based rendering (DIBR) technique. This technology allows the use
of advanced stereoscopic display processing and to improve support for high-
quality auto-stereoscopic multi-view displays. In order to provide a true 3D content
and fatigue-free 3D visualisation, holoscopic imaging has been introduced as an
acquisition and display solution. However, efficient coding schemes for this par-
ticular type of content are needed to enable proper storage and delivery of the large
amount of data involved in these systems, which is also addressed in this chapter.
Chapter 4 is entitled “Super Multi-View video”. It presents motion parallax
which 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 the need for new efficient coding technologies. 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
presented. The new structure provides a rate reduction (for the same quality) up to
29.1 % when compared to a basic anchor structure. Neighbouring Block Disparity
Vector (NBDV) and Inter-View Motion Prediction (IVMP) coding tools are further
improved to efficiently exploit coding structures in two dimensions, with rate
reduction up to 4.2 % with respect to the reference 3D-HEVC encoder.
Chapter 5 is entitled “3D Holoscopic Video Representation and Coding Tech-
nology”. 3D Holoscopic Imaging, also known as integral imaging, light-field
imaging or plenoptic imaging, has been attracting the attention of the research
community as a prospective technology for 3D acquisition and visualisation.
However, to make this technology a commercially viable candidate for three-
dimensional services, there are several important requirements that still need to
be fulfilled. This chapter provides an overview of some of these critical success
factors with special emphasis on the need for a suitable representation format in
conjunction with an efficient coding scheme for 3D holoscopic content. Moreover,
an efficient 3D holoscopic coding solution is described, which provides backward
compatibility with legacy 2D and 3D multi-view displays by using a multi-layer
scalable coding architecture. In addition to this, novel prediction methods are
presented to enable efficient storage and delivery of 3D holoscopic content to the
end-users.
Chapter 6 is entitled “Visual Attention Modelling in a 3D Context”. This chapter
provides a general framework for visual attention modelling. A combination of
different state-of-the-art approaches in the field of saliency detection is presented.
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