Google llc (20240223817). VIDEO COMPRESSION USING OPTICAL FLOW simplified abstract

VIDEO COMPRESSION USING OPTICAL FLOW

Organization Name

google llc

Inventor(s)

George Dan Toderici of Mountain View CA (US)

Eirikur Thor Agustsson of Zurich (CH)

Fabian Julius Mentzer of Zurich (CH)

David Charles Minnen of Mountain View CA (US)

Johannes Balle of San Francisco CA (US)

Nicholas Johnston of San Jose CA (US)

VIDEO COMPRESSION USING OPTICAL FLOW - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240223817 titled 'VIDEO COMPRESSION USING OPTICAL FLOW

Simplified Explanation: The patent application describes a method for compressing video data by predicting optical flow between sequential frames and applying blurring operations.

Key Features and Innovation:

• Receiving a video sequence of frames
• Generating optical flow between two sequential frames using a flow prediction network
• Predicting optical flow between frames using a first autoencoder neural network
• Warping a reconstruction of the first frame according to the predicted optical flow
• Applying a blurring operation to obtain an initial predicted reconstruction of the second frame

Potential Applications: This technology can be used in video compression algorithms, video streaming services, virtual reality applications, and video editing software.

Problems Solved: This technology addresses the challenge of efficiently compressing video data while maintaining visual quality and reducing file sizes.

Benefits:

• Improved video compression efficiency
• Enhanced video streaming performance
• Better visual quality in compressed videos
• Reduced storage requirements for video files

Commercial Applications: Potential commercial applications include video streaming platforms, video editing software companies, virtual reality content creators, and video compression technology providers.

Prior Art: Prior research in the field of video compression, optical flow prediction, and neural network-based video processing can provide valuable insights into similar technologies.

Frequently Updated Research: Researchers are constantly exploring new techniques and algorithms to improve video compression efficiency and quality, which may impact the development of this technology.

Questions about Video Compression: 1. How does optical flow prediction contribute to video compression efficiency? 2. What are the key differences between traditional video compression methods and the approach described in the patent application?

Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for compressing video data. in one aspect, a method comprises: receiving a video sequence of frames; generating, using a flow prediction network, an optical flow between two sequential frames, wherein the two sequential frames comprise a first frame and a second frame that is subsequent the first frame; generating from the optical flow, using a first autoencoder neural network: a predicted optical flow between the first frame and the second frame; and warping a reconstruction of the first frame according to the predicted optical flow and subsequently applying a blurring operation to obtain an initial predicted reconstruction of the second frame.