Telefonaktiebolaget lm ericsson (publ) (20240187643). METHODS OF VIDEO ENCODING AND/OR DECODING WITH BIDIRECTIONAL OPTICAL FLOW SIMPLIFICATION ON SHIFT OPERATIONS AND RELATED APPARATUS simplified abstract
Contents
- 1 METHODS OF VIDEO ENCODING AND/OR DECODING WITH BIDIRECTIONAL OPTICAL FLOW SIMPLIFICATION ON SHIFT OPERATIONS AND RELATED APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS OF VIDEO ENCODING AND/OR DECODING WITH BIDIRECTIONAL OPTICAL FLOW SIMPLIFICATION ON SHIFT OPERATIONS AND RELATED APPARATUS - 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 Frequently Updated Research
- 1.11 Original Abstract Submitted
METHODS OF VIDEO ENCODING AND/OR DECODING WITH BIDIRECTIONAL OPTICAL FLOW SIMPLIFICATION ON SHIFT OPERATIONS AND RELATED APPARATUS
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
METHODS OF VIDEO ENCODING AND/OR DECODING WITH BIDIRECTIONAL OPTICAL FLOW SIMPLIFICATION ON SHIFT OPERATIONS AND RELATED APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240187643 titled 'METHODS OF VIDEO ENCODING AND/OR DECODING WITH BIDIRECTIONAL OPTICAL FLOW SIMPLIFICATION ON SHIFT OPERATIONS AND RELATED APPARATUS
Simplified Explanation
The patent application describes a method for performing bi-directional optical flow processing for a video sequence of images, specifically focusing on bidirectional-predicted inter coding blocks (BPICBs).
- Obtaining a shifted pair of refinement parameters per subblock of a BPICB.
- Determining a BDOF offset without performing any right shifting using the shifted pair of refinement parameters.
- Calculating the BDOF offset for each sample in each subblock within each BPICB using various parameters.
- Utilizing horizontal and vertical gradient blocks for prediction blocks in the calculation process.
Potential Applications
This technology can be applied in video compression algorithms, computer vision systems, and motion estimation techniques.
Problems Solved
This method helps improve the accuracy and efficiency of bi-directional optical flow processing in video sequences, leading to better video quality and reduced data size.
Benefits
The benefits of this technology include enhanced video compression, improved motion estimation, and overall better video quality.
Potential Commercial Applications
Potential commercial applications of this technology include video streaming services, surveillance systems, and video editing software.
Possible Prior Art
One possible prior art in this field is the use of block-based motion estimation techniques in video compression standards such as H.264 and H.265.
What are the limitations of this method in real-time video processing applications?
In real-time video processing applications, the computational complexity of this method may be a limiting factor, as it requires detailed calculations for each subblock in the video sequence.
How does this method compare to existing optical flow algorithms in terms of accuracy and efficiency?
This method aims to improve the accuracy of bi-directional optical flow processing by considering shifted pairs of refinement parameters, which may lead to better results compared to traditional optical flow algorithms. However, further comparative studies are needed to evaluate its efficiency in various scenarios.
Frequently Updated Research
There is ongoing research in the field of optical flow processing, with new algorithms and techniques being developed to enhance the accuracy and efficiency of motion estimation in video sequences. Researchers are exploring ways to optimize optical flow algorithms for real-time applications and improve their performance in various video processing tasks.
Original Abstract Submitted
a method of performing bi-directional optical flow, bdof, processing for a video sequence of images, with each image including a plurality of blocks with bidirectional-predicted inter coding blocks, bpicbs. the method includes obtaining a shifted pair of refinement parameters per a subblock of a bidirectional-predicted inter coding block, wherein the shifted pair of refinement parameters includes a shifted first refinement parameter and a shifted second refinement parameter. the method includes determining a bdof offset without performing any right shifting using at least the shifted pair of refinement parameters by, for each sample in each subblock within each bidirectional-predicted inter coding block, determining the bdof offset using the shifted first refinement parameter, the shifted second refinement parameter, a first horizontal gradient block and a first vertical gradient block for a first prediction block, and a second horizontal gradient block and a second vertical gradient block for a second prediction block.
