View source for BELLEVUE INVESTMENTS GmbH & Co. KGaA (20240242737). SYSTEM AND METHOD FOR AI/XI BASED AUTOMATIC SONG FINDING FOR VIDEOS IN A MOBILE APP OR WEB ENVIRONMENT TO ACHIEVE HIGH-PERFORMANCE simplified abstract

=SYSTEM AND METHOD FOR AI/XI BASED AUTOMATIC SONG FINDING FOR VIDEOS IN A MOBILE APP OR WEB ENVIRONMENT TO ACHIEVE HIGH-PERFORMANCE=


==Organization Name==

[[:Category:BELLEVUE INVESTMENTS GmbH & Co. KGaA|BELLEVUE INVESTMENTS GmbH & Co. KGaA]]


[[Category:BELLEVUE INVESTMENTS GmbH & Co. KGaA]]

==Inventor(s)==

[[:Category:DIETER Rein of BERLIN (DE)|DIETER Rein of BERLIN (DE)]][[Category:DIETER Rein of BERLIN (DE)]]

[[:Category:JURGEN Jaron of BERLIN (DE)|JURGEN Jaron of BERLIN (DE)]][[Category:JURGEN Jaron of BERLIN (DE)]]

==SYSTEM AND METHOD FOR AI/XI BASED AUTOMATIC SONG FINDING FOR VIDEOS IN A MOBILE APP OR WEB ENVIRONMENT TO ACHIEVE HIGH-PERFORMANCE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240242737 titled 'SYSTEM AND METHOD FOR AI/XI BASED AUTOMATIC SONG FINDING FOR VIDEOS IN A MOBILE APP OR WEB ENVIRONMENT TO ACHIEVE HIGH-PERFORMANCE

'''Simplified Explanation:'''
The patent application describes a method for selecting the best fitting song from a large audio database for a selected video production in a mobile environment. Specific parts of the video are compressed, analyzed, and the analysis values are used to select songs from a database based on emotion tags.

* Methods for finding the best fitting song for a video production in a mobile environment
* Compression and analysis of specific parts of the video
* Providing analysis values to a song database for song selection
* Tagging songs with emotion tags describing energy and emotion over time
* Selection of songs based on emotion tags

'''Potential Applications:'''
This technology can be used in video editing software, mobile applications for content creation, music streaming services, and personalized content recommendations.

'''Problems Solved:'''
This technology addresses the challenge of finding the most suitable song for a video production based on specific emotional requirements and content analysis.

'''Benefits:'''
The benefits of this technology include enhancing the emotional impact of video productions, improving user engagement, and providing personalized content experiences.

'''Commercial Applications:'''
"Emotion-based Song Selection for Video Productions in Mobile Environments" can be utilized in video editing software, mobile apps for content creation, music streaming platforms, and personalized content recommendation services to enhance user experience and engagement.

'''Questions about Emotion-based Song Selection for Video Productions in Mobile Environments:'''
1. How does the technology analyze and select songs based on emotion tags?
2. What are the potential implications of using this technology in music streaming services?


==Original Abstract Submitted==

according to a first embodiment, one method presented herein involves methods of finding the best fitting song from a large audio database for a selected video production in a mobile environment. specific parts of the video production are determined, compressed, analyzed and the analysis values are provided to a song database for selection of fitting songs. content of these songs utilized in the instant invention has been tagged by emotion tags describing the energy, the emotion of these songs over time—meaning that each song can contain a plurality of, even overlapping, emotions.



[[Category:G11B27/031]]
[[Category:G06F16/435]]
[[Category:CPC_G11B27/031]]