18389345. IMAGE DECODING METHOD AND APPARATUS BASED ON MOTION PREDICTION USING MERGE CANDIDATE LIST IN IMAGE CODING SYSTEM simplified abstract (LG ELECTRONICS INC.)
Contents
- 1 IMAGE DECODING METHOD AND APPARATUS BASED ON MOTION PREDICTION USING MERGE CANDIDATE LIST IN IMAGE CODING SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE DECODING METHOD AND APPARATUS BASED ON MOTION PREDICTION USING MERGE CANDIDATE LIST IN IMAGE CODING SYSTEM - 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 How does this technology compare to existing image decoding methods in terms of efficiency and accuracy?
- 1.11 What are the specific technical requirements for implementing this image decoding method in practical applications?
- 1.12 Original Abstract Submitted
IMAGE DECODING METHOD AND APPARATUS BASED ON MOTION PREDICTION USING MERGE CANDIDATE LIST IN IMAGE CODING SYSTEM
Organization Name
Inventor(s)
IMAGE DECODING METHOD AND APPARATUS BASED ON MOTION PREDICTION USING MERGE CANDIDATE LIST IN IMAGE CODING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18389345 titled 'IMAGE DECODING METHOD AND APPARATUS BASED ON MOTION PREDICTION USING MERGE CANDIDATE LIST IN IMAGE CODING SYSTEM
Simplified Explanation
The image decoding method described in the abstract involves constructing a candidate list for deriving motion information of a sub-block unit for a current block, deriving control point motion vectors (CPMVs) for control points (CPs) of the current block based on the merge candidate list, deriving prediction samples for the current block based on the CPMVs, and generating a reconstructed picture for the current block based on the derived prediction samples.
- The method involves constructing a candidate list based on neighboring blocks with the same reference picture index.
- Control point motion vectors are derived for control points of the current block.
- Prediction samples are generated for the current block based on the derived motion vectors.
- A reconstructed picture is generated for the current block using the prediction samples.
Potential Applications
This technology can be applied in video compression algorithms, video streaming services, and video editing software.
Problems Solved
This technology helps improve the efficiency and accuracy of image decoding, leading to better video quality and reduced file sizes.
Benefits
The benefits of this technology include enhanced video compression, improved video streaming performance, and higher quality video playback.
Potential Commercial Applications
Potential commercial applications of this technology include use in video encoding and decoding software, video streaming platforms, and video surveillance systems.
Possible Prior Art
One possible prior art for this technology could be existing video compression algorithms that use motion estimation and compensation techniques to improve video quality and compression efficiency.
Unanswered Questions
How does this technology compare to existing image decoding methods in terms of efficiency and accuracy?
This article does not provide a direct comparison with existing image decoding methods to evaluate its efficiency and accuracy.
What are the specific technical requirements for implementing this image decoding method in practical applications?
The article does not detail the specific technical requirements or hardware/software dependencies for implementing this image decoding method in practical applications.
Original Abstract Submitted
An image decoding method performed by a decoding apparatus according to the present document includes constituting a candidate list for deriving motion information of a sub-block unit for a current block, wherein the merge candidate list includes constructed candidates; deriving control point motion vectors (CPMVs) for control points (CPs) of the current block based on the merge candidate list; deriving prediction samples for the current block based on the CPMVs; and generating a reconstructed picture for the current block based on the derived prediction samples, wherein the constructed candidates are derived based on combination of at least two of a first neighboring block in a first group, a second neighboring block in a second group, a third neighboring block in a third group and a fourth neighboring block, and the first neighboring block, the second neighboring block and the third neighboring block and the fourth neighboring block constituting the combination have the same reference picture index.
