View source for Warner Bros. Entertainment Inc. (20240323486). SENSITIVITY ASSESSMENT FOR MEDIA PRODUCTION USING ARTIFICIAL INTELLIGENCE simplified abstract

=SENSITIVITY ASSESSMENT FOR MEDIA PRODUCTION USING ARTIFICIAL INTELLIGENCE=


==Organization Name==

[[:Category:Warner Bros. Entertainment Inc.|Warner Bros. Entertainment Inc.]]


[[Category:Warner Bros. Entertainment Inc.]]

==Inventor(s)==

[[:Category:Hitesh Pau of South Pasadena CA (US)|Hitesh Pau of South Pasadena CA (US)]][[Category:Hitesh Pau of South Pasadena CA (US)]]

[[:Category:Geoffrey P. Murillo of Valencia CA (US)|Geoffrey P. Murillo of Valencia CA (US)]][[Category:Geoffrey P. Murillo of Valencia CA (US)]]

[[:Category:Rajiv R. Lund of Los Angeles CA (US)|Rajiv R. Lund of Los Angeles CA (US)]][[Category:Rajiv R. Lund of Los Angeles CA (US)]]

[[:Category:Anshul Kumar of Los Angeles CA (US)|Anshul Kumar of Los Angeles CA (US)]][[Category:Anshul Kumar of Los Angeles CA (US)]]

[[:Category:Tasha T. Mehta of Los Angeles CA (US)|Tasha T. Mehta of Los Angeles CA (US)]][[Category:Tasha T. Mehta of Los Angeles CA (US)]]

[[:Category:Alejandro Bringas of Santa Clarita CA (US)|Alejandro Bringas of Santa Clarita CA (US)]][[Category:Alejandro Bringas of Santa Clarita CA (US)]]

[[:Category:Tarundeep Kaur of Mission Hills CA (US)|Tarundeep Kaur of Mission Hills CA (US)]][[Category:Tarundeep Kaur of Mission Hills CA (US)]]

[[:Category:Ty Y. Tanita of Los Angeles CA (US)|Ty Y. Tanita of Los Angeles CA (US)]][[Category:Ty Y. Tanita of Los Angeles CA (US)]]

==SENSITIVITY ASSESSMENT FOR MEDIA PRODUCTION USING ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240323486 titled 'SENSITIVITY ASSESSMENT FOR MEDIA PRODUCTION USING ARTIFICIAL INTELLIGENCE

The patent application describes a system for automatically flagging sensitive portions of a digital dataset for media production.

* The system receives a digital dataset containing audio, video, or audio-video data for creating media programs.
* A processor identifies sensitive portions of the dataset based on comparisons with classified portions from prior media productions using an algorithm.
* The processor generates sensitivity tags for each sensitive portion, indicating the level of sensitivity.
* The sensitivity tags are stored in computer memory for use by media production or localization teams.

Potential Applications:
- Media production companies can use this system to quickly identify and flag sensitive content in their datasets.
- Localization teams can utilize the sensitivity tags to ensure appropriate adjustments are made for different cultural contexts.

Problems Solved:
- Efficiently identifying and managing sensitive content in digital datasets for media production.
- Streamlining the process of flagging and handling sensitive material in a production environment.

Benefits:
- Improved content management and compliance with regulations regarding sensitive material.
- Enhanced efficiency in media production workflows by automating the identification of sensitive content.

Commercial Applications:
Title: Automated Sensitive Content Flagging System for Media Production
This technology can be applied in film and television production, advertising agencies, and online streaming platforms to streamline the handling of sensitive content and ensure compliance with industry standards.

Questions about the technology:
1. How does the system determine the sensitivity level of different portions of the digital dataset?
- The system uses an algorithm to compare unclassified portions with classified portions from prior media productions to assess sensitivity levels accurately.

2. Can the sensitivity tags be customized based on specific content classifications?
- Yes, the system can be configured to recognize and flag sensitive content based on predefined content classifications to meet specific requirements.


==Original Abstract Submitted==

an automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. a processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. the processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.



[[Category:H04N21/4545]]
[[Category:G06N20/00]]
[[Category:H04N21/431]]
[[Category:H04N21/466]]
[[Category:CPC_H04N21/45455]]