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

=VIDEO COMPRESSION USING OPTICAL FLOW=


==Organization Name==

[[:Category:google llc|google llc]]


[[Category:google llc]]

==Inventor(s)==

[[:Category:George Dan Toderici of Mountain View CA (US)|George Dan Toderici of Mountain View CA (US)]][[Category:George Dan Toderici of Mountain View CA (US)]]

[[:Category:Eirikur Thor Agustsson of Zurich (CH)|Eirikur Thor Agustsson of Zurich (CH)]][[Category:Eirikur Thor Agustsson of Zurich (CH)]]

[[:Category:Fabian Julius Mentzer of Zurich (CH)|Fabian Julius Mentzer of Zurich (CH)]][[Category:Fabian Julius Mentzer of Zurich (CH)]]

[[:Category:David Charles Minnen of Mountain View CA (US)|David Charles Minnen of Mountain View CA (US)]][[Category:David Charles Minnen of Mountain View CA (US)]]

[[:Category:Johannes Balle of San Francisco CA (US)|Johannes Balle of San Francisco CA (US)]][[Category:Johannes Balle of San Francisco CA (US)]]

[[:Category:Nicholas Johnston of San Jose CA (US)|Nicholas Johnston of San Jose CA (US)]][[Category: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.



[[Category:H04N19/91]]
[[Category:G06T3/18]]
[[Category:G06T5/70]]
[[Category:H04N19/124]]
[[Category:H04N19/137]]
[[Category:CPC_H04N19/91]]