18737880. METHOD, APPARATUS, AND MEDIUM FOR VIDEO PROCESSING simplified abstract (Bytedance Inc.)
Contents
METHOD, APPARATUS, AND MEDIUM FOR VIDEO PROCESSING
Organization Name
Inventor(s)
Kai Zhang of Los Angeles CA (US)
Li Zhang of Los Angeles CA (US)
METHOD, APPARATUS, AND MEDIUM FOR VIDEO PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18737880 titled 'METHOD, APPARATUS, AND MEDIUM FOR VIDEO PROCESSING
The patent application proposes a method for video processing that involves determining an affine prediction list for a target video block during a conversion process and performing the conversion based on this list.
- The method involves determining an affine prediction list for a target video block during a conversion process.
- The prediction list is based on either a non-adjacent spatial candidate or a temporal collocated candidate.
- The conversion process is then performed based on the affine prediction list.
Potential Applications: This technology could be used in video encoding and decoding processes to improve video quality and compression efficiency. It could also be applied in video streaming services to enhance the viewing experience for users.
Problems Solved: This technology addresses the challenge of efficiently processing video data by utilizing affine predictions to optimize the conversion process. It helps in reducing the computational complexity of video processing tasks.
Benefits: Improved video quality and compression efficiency. Enhanced viewing experience for users. Reduced computational complexity in video processing tasks.
Commercial Applications: This technology could be valuable for companies involved in video streaming services, video production, and video surveillance systems. It could also be beneficial for manufacturers of video encoding and decoding equipment.
Questions about Video Processing: 1. How does the use of affine predictions improve video processing efficiency? Affine predictions help in reducing computational complexity by providing accurate predictions for target video blocks. 2. What are the potential implications of this technology for the video streaming industry? This technology could lead to better video quality, reduced bandwidth requirements, and improved user experience in video streaming services.
Original Abstract Submitted
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, during a conversion between a target video block of a video and a bitstream of the video, an affine prediction list of the target video block based on at least one of the following: a non-adjacent spatial candidate, or a temporal collocated candidate; and performing the conversion based on the affine prediction list.
