KEYWORDS: Video, Video coding, Video compression, Computer programming, 3D video compression, Visual system, Quantization, Copper, Visualization, Volume rendering
As an extension of High Efficiency Video Coding ( HEVC), 3D-HEVC has been widely researched under the impetus of
the new generation coding standard in recent years. Compared with H.264/AVC, its compression efficiency is doubled
while keeping the same video quality. However, its higher encoding complexity and longer encoding time are not
negligible. To reduce the computational complexity and guarantee the subjective quality of virtual views, this paper
presents a novel video coding method for 3D-HEVC based on the saliency informat ion which is an important part of
Human Visual System (HVS). First of all, the relationship between the current coding unit and its adjacent units is used
to adjust the maximum depth of each largest coding unit (LCU) and determine the SKIP mode reasonably. Then,
according to the saliency informat ion of each frame image, the texture and its corresponding depth map will be divided
into three regions, that is, salient area, middle area and non-salient area. Afterwards, d ifferent quantization parameters
will be assigned to different regions to conduct low complexity coding. Finally, the compressed video will generate new
view point videos through the renderer tool. As shown in our experiments, the proposed method saves more bit rate than
other approaches and achieves up to highest 38% encoding time reduction without subjective quality loss in compression
or rendering.
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