18503773. Sample Determination For Adaptive Loop Filtering simplified abstract (Bytedance Inc.)

From WikiPatents
Jump to navigation Jump to search

Sample Determination For Adaptive Loop Filtering

Organization Name

Bytedance Inc.

Inventor(s)

Li Zhang of San Diego CA (US)

Kai Zhang of San Diego CA (US)

Hongbin Liu of Beijing (CN)

Yue Wang of Beijing (CN)

Sample Determination For Adaptive Loop Filtering - A simplified explanation of the abstract

This abstract first appeared for US patent application 18503773 titled 'Sample Determination For Adaptive Loop Filtering

Simplified Explanation

The method described in the abstract involves processing video by determining the classification of samples of a block in a video picture according to a rule, where neighboring samples across boundaries of multiple regions are not allowed for classification. The method also includes converting the block to a bitstream representation by selectively applying an adaptive loop filtering process based on the classification.

  • Video processing method involving classification of samples in a block based on a rule
  • Rule disallows the use of neighboring samples across boundaries of multiple regions for classification
  • Conversion of block to bitstream representation by selectively applying adaptive loop filtering process

Potential Applications

This technology can be applied in various video processing applications such as video compression, video editing, and video streaming services.

Problems Solved

- Improved video quality by selectively applying filtering processes based on sample classification - Enhanced video compression efficiency by optimizing the use of neighboring samples across boundaries

Benefits

- Higher quality video output - More efficient video compression - Enhanced user experience in video streaming services

Potential Commercial Applications

Optimized video compression algorithms for streaming services

Possible Prior Art

One possible prior art in this field is the use of adaptive loop filtering processes in video compression algorithms to improve video quality and compression efficiency.

Unanswered Questions

How does this method compare to existing video processing techniques in terms of efficiency and quality?

This article does not provide a direct comparison with existing video processing techniques in terms of efficiency and quality. Further research or testing may be needed to determine the specific advantages of this method over others.

What are the potential limitations or drawbacks of selectively applying the adaptive loop filtering process based on sample classification?

The article does not address any potential limitations or drawbacks of selectively applying the adaptive loop filtering process based on sample classification. Future studies could explore any potential issues that may arise from this approach.


Original Abstract Submitted

A method of video processing includes determining a classification of samples of a block in a video picture of a video according to a rule, wherein the video picture is divided into multiple regions, and wherein the rule disallows use of neighboring samples of a current sample across one or more boundaries of the multiple regions for the classification. The one or more boundaries of the multiple regions comprises a virtual boundary for an adaptive loop filtering (ALF) process. The method also includes performing a conversion between the block and a bitstream representation of the video by selectively applying the ALF process according to the classification.