View source for Google llc (20240205278). Safe and Privacy Preserving Video Representation simplified abstract

=Safe and Privacy Preserving Video Representation=


==Organization Name==

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


[[Category:google llc]]

==Inventor(s)==

[[:Category:Colvin Pitts of Snohomish WA (US)|Colvin Pitts of Snohomish WA (US)]][[Category:Colvin Pitts of Snohomish WA (US)]]

[[:Category:Yukun Zu of Shoreline WA (US)|Yukun Zu of Shoreline WA (US)]][[Category:Yukun Zu of Shoreline WA (US)]]

[[:Category:Xuhui Jia of Seattle WA (US)|Xuhui Jia of Seattle WA (US)]][[Category:Xuhui Jia of Seattle WA (US)]]

==Safe and Privacy Preserving Video Representation - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240205278 titled 'Safe and Privacy Preserving Video Representation

'''Simplified Explanation:'''
The patent application describes a computing system and method for creating safe and privacy-preserving video representations of participants in a videoconference. It involves generating reconstructions of participants based on their semantic statuses and activity statuses, allowing for the conveyance of necessary information while filtering out unwanted details using machine-learning models.

'''Key Features and Innovation:'''
* Safe and privacy-preserving video representations of videoconference participants
* Generation of reconstructions based on semantic and activity statuses
* Filtering out unnecessary information using machine-learning models

'''Potential Applications:'''
This technology can be applied in various industries such as telecommunication, virtual meetings, online education, and telemedicine.

'''Problems Solved:'''
This technology addresses the issues of privacy concerns and information overload in videoconferencing by providing generalized representations of participants.

'''Benefits:'''
* Enhanced privacy protection
* Improved focus on essential information
* Streamlined communication in videoconferences

'''Commercial Applications:'''
The technology can be utilized by video conferencing platforms, telecommunication companies, educational institutions, and healthcare providers to enhance user privacy and streamline communication processes.

'''Prior Art:'''
Readers can explore prior research on privacy-preserving video technologies, machine learning in video conferencing, and semantic analysis in virtual communication.

'''Frequently Updated Research:'''
Stay updated on advancements in privacy-preserving technologies, machine learning algorithms for video analysis, and applications of semantic analysis in virtual communication.

'''Questions about Video Representation Technology:'''
1. How does this technology ensure the privacy of videoconference participants?
2. What are the key factors considered in generating reconstructions of participants based on semantic and activity statuses?


==Original Abstract Submitted==

a computing system and method that can be used for safe and privacy preserving video representations of participants in a videoconference. in particular, the present disclosure provides a general pipeline for generating reconstructions of videoconference participants based on semantic statuses and/or activity statuses of the participants. the systems and methods of the present disclosure allow for videoconferences that convey necessary or meaningful information of participants through presentation of generalized representations of participants while filtering unnecessary or unwanted information from the representations by leveraging machine-learning models.



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