Hierarchical motion coding for learning-based point cloud compression
OwnerJunghyun Ahn, Jiahao Pang +2inventors
InventorsJunghyun Ahn, Jiahao Pang, Muhammad Asad Lodhi, Dong Tian
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Abstract
Some embodiments of a method may include: obtaining a parent level motion feature; generating a first motion feature by upsampling the parent level motion feature; obtaining a reference frame feature; determining a shifted reference frame feature based on the reference frame feature and the first motion feature; decoding a second motion feature from a motion bitstream; generating a current level motion feature by adding the first and the second motion features; generating a predicted feature based on the shifted reference frame feature and the second motion feature; and decoding an inter-predicted point cloud frame based on the predicted feature.
Claims20
A learning-based predictive point cloud decoding method, comprising:
- obtaining a parent level motion feature;
- generating a first motion feature by upsampling the parent level motion feature;
- obtaining a reference frame feature;
- determining a shifted reference frame feature based on the reference frame feature and the first motion feature;
- decoding a second motion feature from a motion bitstream;
- generating a current level motion feature by adding the first and the second motion features;
- generating a predicted feature based on the shifted reference frame feature and the second motion feature;
- and
- decoding an inter-predicted point cloud frame based on the predicted feature.
An apparatus comprising:
- a processor;
- and
- a memory storing instructions operative, when executed by the processor, to cause the apparatus to:
- obtain a parent level motion feature;
- generate a first motion feature by upsampling the parent level motion feature;
- obtain a reference frame feature;
- determine a shifted reference frame feature based on the reference frame feature and the first motion feature;
- decode a second motion feature by obtaining a motion bitstream;
- generate a current level motion feature by adding the first and the second motion features;
- generate a predicted feature based on the shifted reference frame feature and the second motion feature;
- and
- decode an inter-predicted point cloud frame based on the predicted feature.
A learning-based predictive point cloud encoding method, comprising:
- obtaining a current frame feature;
- obtaining a parent level motion feature;
- generating a first motion feature by upsampling the parent level motion feature;
- obtaining a reference frame feature;
- determining a shifted reference frame feature based on the reference frame feature and the first motion feature;
- generating a second motion feature based on the current frame feature and the shifted reference frame feature;
- generating a current level motion feature by adding the first and the second motion features;
- generating a predicted feature based on the shifted reference frame feature and the second motion feature;
- encoding the second motion feature into a motion bitstream;
- and
- encoding an inter-predicted point cloud frame based on the predicted feature.
Dependencies are inferred from the claim text.