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Method of lookup table size reduction for depth modelling mode in depth coding

A deep modeling mode and deep technology, applied in the field of deep coding, can solve problems such as access errors

Inactive Publication Date: 2017-04-19
HFI INNOVATION INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because WedgePatternTable[log2BlkSize] is only constructed from NumWedgePattern[log2BlkSize] entries, accessing WedgePatternTable[log2BlkSize][wedge_full_tab_idx] with undefined wedge_full_tab_idx >= NumWedgePattern[log2BlkSize] will result in unpredictable consequences or errors

Method used

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  • Method of lookup table size reduction for depth modelling mode in depth coding
  • Method of lookup table size reduction for depth modelling mode in depth coding
  • Method of lookup table size reduction for depth modelling mode in depth coding

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Embodiment Construction

[0054] The following description is of the best contemplated mode of carrying out the invention. This description is to illustrate the general principles of the invention and should not be construed as limiting the invention. The scope of the invention is best determined by reference to the appended claims.

[0055] In order to reduce the wedge-shaped partition pattern table size associated with depth modeling mode 1 (DMM1), the present invention discloses three types of wedge-shaped partition pattern table size reduction methods. According to the first type of wedge-segmentation pattern table size reduction, restrictions are applied to the start or end points (also referred to as start or end positions) of available wedge-segmentation candidates, or available wedge-segmentation direction categories. According to the second type of wedge partitioning pattern, the table size is reduced, and the start or end point of the larger prediction unit (prediction unit, PU) wedge partit...

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Abstract

A method and apparatus of depth coding using depth modelling mode 1 (DMM1) are disclosed to reduce the wedgelet pattern table size. In one embodiment, a size-reduced wedgelet pattern for a reduced wedgelet pattern table is generated by excluding at least one non-corner adjacent-edge sample for adjacent-edge partition or at least one opposite-edge sample for opposite-edge partition from starting positions or from ending positions. The reduced wedgelet pattern table may also include at least one omitted wedgelet pattern in at least one wedgelet direction category. For the adjacent-edge partition, the starting positions and the ending positions may correspond to every other even non-corner adjacent-edge samples in a first and a second adjacent edges respectively. For the opposite-edge partition, the starting positions correspond to every other even opposite-edge samples in a first opposite edge and the ending positions include all opposite-edge samples in a second opposite edge.

Description

[0001] 【CROSS-REFERENCE TO RELATED APPLICATIONS】 [0002] The present invention claims the priority of the PCT patent application with serial number PCT / CN2014 / 088038 filed on September 30, 2014 and the PCT patent application with serial number PCT / CN2014 / 088007 filed on September 30, 2014. The above PCT patent applications are incorporated herein by reference. [0003] 【Technical field】 [0004] The present invention relates to depth coding in three-dimensional (3D) and multi-view video coding systems. In particular, the invention relates to look-up table size reduction for depth modeling mode 1 (DMM1) in depth coding. [0005] 【Background technique】 [0006] High Efficiency Video Coding (HEVC) is a new coding standard developed in recent years. In the HEVC system, the fixed-size macroblocks in H.264 / AVC are replaced by variable blocks called coding units (CUs). Pixels in a CU share the same coding parameters to improve coding efficiency. In HEVC, a CU can start from a la...

Claims

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Application Information

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IPC IPC(8): H04N19/50
CPCH04N19/597H04N19/122H04N19/14H04N19/176H04N19/146H04N19/593
Inventor 张贤国张凯林建良安基程陈渏纹
Owner HFI INNOVATION INC
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