17571721. RIO-BASED VIDEO CODING METHOD AND DEIVICE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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RIO-BASED VIDEO CODING METHOD AND DEIVICE

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Wei Huang of Jiangsu (CN)

Xianghu Chen of Jiangsu (CN)

Yong Zhang of Jiangsu (CN)

Junheng Wu of Jiangsu (CN)

RIO-BASED VIDEO CODING METHOD AND DEIVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17571721 titled 'RIO-BASED VIDEO CODING METHOD AND DEIVICE

Simplified Explanation

The patent application describes a method and device for video recording that involves dividing each frame of video data into a region of interest and a background region using a neural network model. The region of interest is encoded at a higher bit rate, while the background region is encoded at a lower bit rate, and the encoded video data is stored in a storage device through a video buffer.

  • The video data is obtained for recording.
  • Each frame of the video data is divided into a region of interest and a background region using a neural network model.
  • The region of interest is encoded at a higher bit rate.
  • The background region is encoded at a lower bit rate.
  • The encoded video data is stored in a storage device through a video buffer.

Potential Applications

  • Video surveillance systems
  • Video conferencing
  • Live streaming platforms
  • Video recording devices

Problems Solved

  • Efficient encoding and storage of video data
  • Optimization of video recording and transmission
  • Reduction of bandwidth requirements

Benefits

  • Improved video quality for regions of interest
  • Reduced storage space and bandwidth usage
  • Enhanced video recording and playback experience


Original Abstract Submitted

A video recording method and a video recording device are provided. The method includes: obtaining video data to be recorded; dividing, based on the video data, each frame of the video data into a region of interest and a background region by using a preset neural network model; and encoding the region of interest of the video data based on a first encoding bit rate, and the background region based on a second bit rate, and storing the encoded video data into a storage device through a video buffer.