Authors:
Dorsaf Sebai
;
Faouzi Ghorbel
and
Sounia Messbahi
Affiliation:
Cristal Laboratory, National School of Computer Science, Manouba University, Tunisia
Keyword(s):
Scalable High Efficiency Video Coding, Depth Maps, Coding Units, Quality Scalability.
Abstract:
Scalable High Efficiency Video Coding (SHVC) is used to adaptively encode texture images. SHVC architecture is composed of Base and Enhancement Layers (BL and EL), with an interlayer picture processing module between them. In order to ensure effective encoding, each picture is divided into a certain number of Coding Units (CUs), with different depths, composing the Coding Tree Unit (CTU). Being initially dedicated to texture images, SHVC does not provide the same efficiency when applied to depth maps. To understand the causes behind, we propose to study the SHVC CTU partitioning for depth maps. This can be a starting point to propose an efficient 3D video scalable compression. Main observations of this study show that the depth of most CUs is 2 and 3 for texture images. However, this depth is either 0 or 1 for depth maps. Moreover, CUs depths frequently change when passing from the base and enhancement layers of SHVC for the non-flat regions. This is not the case for the smooth regio
ns that generally preserve the same CUs depths in the two SHVC layers.
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