18456027. VIDEO PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract (Tencent Technology (Shenzhen) Company Limited)

VIDEO PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

Organization Name

Tencent Technology (Shenzhen) Company Limited

Inventor(s)

Boyuan Jiang of Shenzhen (CN)

Lingtong Kong of Shenzhen (CN)

Donghao Luo of Shenzhen (CN)

Ying Tai of Shenzhen (CN)

Chengjie Wang of Shenzhen (CN)

Xiaoming Huang of Shenzhen (CN)

Jilin Li of Shenzhen (CN)

Feiyue Huang of Shenzhen (CN)

Yongjian Wu of Shenzhen (CN)

VIDEO PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18456027 titled 'VIDEO PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

Simplified Explanation

The patent application describes a method for processing videos using neural networks. Here is a simplified explanation of the abstract:

• The method starts by obtaining two consecutive frames from a target video.
• These frames are then inputted into a neural network.
• The neural network is trained using an optical flow distillation constraint and a feature consistency constraint.
• The neural network outputs an intermediate video frame.
• Finally, the method interpolates this intermediate frame between the two original frames.

Potential applications of this technology:

• Video editing and post-production: The method can be used to enhance the quality of videos by generating high-quality intermediate frames.
• Video compression: By generating intermediate frames, the method can help reduce the size of video files without significant loss of quality.
• Virtual reality and gaming: The technology can improve the visual experience in virtual reality environments and video games by generating smoother and more realistic video sequences.

Problems solved by this technology:

• Low-quality video interpolation: Traditional methods of video interpolation often result in blurry or distorted frames. This technology aims to generate high-quality intermediate frames.
• Time-consuming video processing: Manual video processing can be time-consuming and labor-intensive. This method automates the process using neural networks, saving time and effort.

Benefits of this technology:

• Improved video quality: The method aims to generate high-quality intermediate frames, resulting in smoother and more visually appealing videos.
• Time and cost savings: By automating the video processing using neural networks, the method can save time and reduce the need for manual intervention.
• Versatile applications: The technology can be applied to various video-related fields, including video editing, compression, virtual reality, and gaming.

Original Abstract Submitted

A video processing method includes: obtaining a first video frame and a second video frame in a target video, the first video frame being a previous frame of the second video frame; inputting the first video frame and the second video frame to a target neural network, and obtaining a target intermediate video frame output by the target neural network, the target neural network being trained based on an optical flow distillation constraint and a feature consistency constraint; and interpolating the target intermediate video frame between the first video frame and the second video frame.