View source for BELLEVUE INVESTMENTS GmbH & Co. KGaA (20240241905). SYSTEM AND METHOD FOR AI/XI BASED AUTOMATIC SONG FINDING AND ADAPTATION METHOD FOR VIDEOS simplified abstract

=SYSTEM AND METHOD FOR AI/XI BASED AUTOMATIC SONG FINDING AND ADAPTATION METHOD FOR VIDEOS=


==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 AND ADAPTATION METHOD FOR VIDEOS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240241905 titled 'SYSTEM AND METHOD FOR AI/XI BASED AUTOMATIC SONG FINDING AND ADAPTATION METHOD FOR VIDEOS

'''Simplified Explanation:'''
This patent application describes a method for adapting the best fitting song from a large audio database for a selected video production by analyzing the intrinsic audio of the video material for sections containing speech content and adapting the song in those sections.

* The method involves analyzing the intrinsic audio of the video material to identify sections with speech content.
* The best fitting song from a large audio database is then adapted in these sections to match the video content.
* The songs used in this method are tagged with emotion tags describing their energy and emotion over time.
* The volume of the song is adjusted downward during intervals when speech is present in the intrinsic audio.

'''Key Features and Innovation:'''
* Analysis of intrinsic audio for speech content sections.
* Adapting the best fitting song in identified sections.
* Emotion tagging of songs for energy and emotion description.
* Volume adjustment of songs during speech intervals.

'''Potential Applications:'''
This technology can be used in video production, film scoring, and content creation industries.

'''Problems Solved:'''
This technology addresses the challenge of finding the right music for video content and ensuring a seamless audiovisual experience.

'''Benefits:'''
* Improved synchronization of music with video content.
* Enhanced emotional impact of videos.
* Streamlined production process for content creators.

'''Commercial Applications:'''
The technology can be utilized by video production companies, filmmakers, and content creators to enhance the audiovisual experience of their projects.

'''Questions about the Technology:'''
1. How does this technology improve the overall quality of video productions?
2. What are the potential cost-saving benefits for content creators using this method?


==Original Abstract Submitted==

according to a first embodiment, one method presented herein involves methods of adapting a determined best fitting song from a large audio database for a selected video production. the intrinsic audio of the video material is analyzed for sections containing speech content and the determined best fitting song is adapted in these determined sections. the 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. further, in some embodiments the song's volume will be adjusted downward during intervals when speech is present in the intrinsic audio.



[[Category:G06F16/635]]
[[Category:G10L25/84]]
[[Category:G10L25/87]]
[[Category:G11B27/031]]
[[Category:CPC_G06F16/635]]