Bytedance inc. (20240244269). METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING simplified abstract

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METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING

Organization Name

bytedance inc.

Inventor(s)

Yue Li of Los Angeles CA (US)

Kai Zhang of Los Angeles CA (US)

Li Zhang of Los Angeles CA (US)

METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240244269 titled 'METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING

    • Simplified Explanation:**

The patent application proposes a method for video processing using machine learning models to filter and convert video blocks efficiently.

    • Key Features and Innovation:**
  • Utilizes machine learning model for filtering video blocks during conversion.
  • Incorporates information from previously coded frames to enhance the conversion process.
  • Improves the quality and efficiency of video processing.
    • Potential Applications:**

This technology can be applied in various industries such as:

  • Video streaming services
  • Video editing software
  • Surveillance systems
  • Virtual reality and augmented reality applications
    • Problems Solved:**
  • Enhances the quality of video processing.
  • Increases the efficiency of video conversion.
  • Reduces the computational resources required for video processing.
    • Benefits:**
  • Improved video quality.
  • Faster video processing.
  • Enhanced user experience.
  • Cost-effective video processing solutions.
    • Commercial Applications:**
  • "Enhanced Video Processing Method Using Machine Learning Models" can revolutionize the video processing industry by providing faster and more efficient solutions for various applications.
    • Questions about Video Processing:**

1. How does the use of machine learning models improve video processing efficiency? 2. What are the potential drawbacks of implementing this technology in video processing systems?

    • Frequently Updated Research:**

Stay updated on the latest advancements in machine learning models for video processing to ensure optimal performance and efficiency in your applications.


Original Abstract Submitted

embodiments of the present disclosure provide a solution for video processing. a method for video processing is proposed. the method comprises: filtering, according to a machine learning model during a conversion between a current video block of a video and a bitstream of the video, the current video block based on first information associated with one or multiple previously coded frames of the video; and performing the conversion based on the filtered current video block.