18521182. SEGMENTATION-BASED PARAMETERIZED MOTION MODELS simplified abstract (Google LLC)
Contents
- 1 SEGMENTATION-BASED PARAMETERIZED MOTION MODELS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SEGMENTATION-BASED PARAMETERIZED MOTION MODELS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SEGMENTATION-BASED PARAMETERIZED MOTION MODELS
Organization Name
Inventor(s)
Debargha Mukherjee of Cupertino CA (US)
Yuxin Liu of Palo Alto CA (US)
Sarah Parker of San Francisco CA (US)
SEGMENTATION-BASED PARAMETERIZED MOTION MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18521182 titled 'SEGMENTATION-BASED PARAMETERIZED MOTION MODELS
Simplified Explanation
The patent application describes a method for decoding multiple global motion models associated with segments of a current frame from a compressed bitstream, and using these models to decode blocks of the frame.
- Segmentation of current frame into segments with respective global motion models
- Decoding inter-predicted blocks based on global motion models or different motion vectors
- Efficient decoding process based on motion models and indications from compressed bitstream
Potential Applications
This technology could be applied in video compression and transmission systems, as well as in video editing software to improve motion estimation and compensation.
Problems Solved
- Efficient decoding of inter-predicted blocks in video frames - Accurate representation of global motion models for different segments of a frame
Benefits
- Improved video compression efficiency - Enhanced video quality through accurate motion compensation - Better utilization of global motion models for different segments
Potential Commercial Applications
"Enhancing Video Compression Efficiency with Multiple Global Motion Models"
Possible Prior Art
Prior art may include existing video compression techniques that use motion estimation and compensation, but this specific method of decoding multiple global motion models associated with frame segments may be novel.
Unanswered Questions
How does this method compare to existing video compression techniques in terms of compression ratio and video quality?
The article does not provide a direct comparison with existing techniques in terms of compression efficiency and video quality.
Are there any limitations or constraints in implementing this method in real-time video processing systems?
The article does not address potential limitations or constraints in real-time implementation of this decoding method.
Original Abstract Submitted
Multiple global motion models associated with respective segments of a current frame are decoded from a compressed bitstream. Each global motion model is based on a segmentation of the current frame and represents a respective underlying motion of blocks within a respective segment. Blocks of the current frame are decoded by: for each inter-predicted block of a segment, decoding, form the compressed bitstream, an indication of whether to decode the each inter-predicted block based on a global motion model of the multiple global motion models and associated with the segment, or whether to decode the each inter-predicted block based on a motion vector that is different from the global motion model; and decoding the each inter-predicted block based on the indication.
