US 12,250,387 B2
Information processing apparatus and method
Tsuyoshi Kato, Kanagawa (JP); Satoru Kuma, Tokyo (JP); Ohji Nakagami, Tokyo (JP); Hiroyuki Yasuda, Saitama (JP); and Koji Yano, Tokyo (JP)
Assigned to SONY GROUP CORPORATION, Tokyo (JP)
Filed by SONY GROUP CORPORATION, Tokyo (JP)
Filed on Feb. 27, 2024, as Appl. No. 18/588,025.
Application 18/588,025 is a continuation of application No. 17/438,269, granted, now 11,943,457, previously published as PCT/JP2020/009331, filed on Mar. 5, 2020.
Claims priority of application No. 2019-051291 (JP), filed on Mar. 19, 2019; application No. 2019-118635 (JP), filed on Jun. 26, 2019; and application No. 2019-181399 (JP), filed on Oct. 1, 2019.
Prior Publication US 2024/0205431 A1, Jun. 20, 2024
Int. Cl. H04N 19/30 (2014.01); H04N 19/124 (2014.01); H04N 19/169 (2014.01); H04N 19/50 (2014.01)
CPC H04N 19/30 (2014.11) [H04N 19/124 (2014.11); H04N 19/1883 (2014.11); H04N 19/50 (2014.11)] 6 Claims
OG exemplary drawing
 
1. A decoding apparatus comprising:
circuitry configured to perform inverse hierarchization of encoded attribute information of a point cloud representing a three-dimensional object,
wherein the encoded attribute information is information hierarchized with an encoding apparatus by
classifying each of highest-resolution points of the point cloud in a lowest hierarchical level of a tree construction into one of a lowest reference point and a lowest prediction point predicted based on the lowest reference point, and
classifying each of intermediate-resolution points in an intermediate hierarchical level of the tree construction into one of an intermediate reference point and an intermediate prediction point predicted based on the intermediate reference point,
wherein the intermediate hierarchical level is higher than the lowest hierarchical level,
wherein the intermediate-resolution points are less than highest-resolution points,
wherein positional information of the intermediate reference point is substantially the same as positional information of the lowest reference point,
wherein the inverse hierarchization includes:
deriving a scalable decoding instruction representing a decoding target level of detail (LoD); and
performing a scalable decoding of the encoded attribute information in accordance with the scalable decoding instruction by deriving a predicted value of the intermediate prediction point using the positional information of the intermediate reference point and attribute information of the intermediate reference point, and
wherein a quantization weight for the intermediate hierarchical level is greater than a quantization weight for the lowest hierarchical level.