Patents by Inventor Antonio Trias Llopis

Antonio Trias Llopis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8519249
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences.
    Type: Grant
    Filed: November 8, 2011
    Date of Patent: August 27, 2013
    Assignee: Polyphonic Human Media Interface, S.L.
    Inventors: Vicenç Gaitan Alcalde, Julien Ricard, Antonio Trias Bonet, Antonio Trias Llopis, Jesús Sanz Marcos
  • Patent number: 8338685
    Abstract: An artificial intelligence video analysis recommendation system and method is provided that allows video viewers to discover new videos and video producers to evaluate the potential success of a new project as well as to understand the perceptual factors beneath audience ratings. The system and method accomplish these tasks by analyzing a database of video in order to identify key similarities between different pieces of video, and then recommends pieces of video to a user depending upon their video preferences. An embodiment enables a user to evaluate a new video's similarity to videos already established as commercially valuable.
    Type: Grant
    Filed: July 1, 2011
    Date of Patent: December 25, 2012
    Assignee: Polyphonic Human Media Interface, S.L.
    Inventors: Antonio Trias Bonet, Jesús Sanz Marcos, Antonio Trias Llopis, María Gimena Llopis Rivas
  • Publication number: 20120125177
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences.
    Type: Application
    Filed: November 8, 2011
    Publication date: May 24, 2012
    Applicant: Music Intelligence Solutions
    Inventors: Vicenç Gaitan Alcalde, Julien Richard, Antonio Trias Bonet, Antonio Trias Llopis, Jesús Sanz Marcos
  • Patent number: 8063295
    Abstract: An artificial intelligence video analysis recommendation system and method is provided that allows video viewers to discover new videos and video producers to evaluate the potential success of a new project as well as to understand the perceptual factors beneath audience ratings. The system and method accomplish these tasks by analyzing a database of video in order to identify key similarities between different pieces of video, and then recommends pieces of video to a user depending upon their video preferences. An embodiment enables a user to evaluate a new video's similarity to videos already established as commercially valuable.
    Type: Grant
    Filed: July 27, 2007
    Date of Patent: November 22, 2011
    Assignee: Polyphonic Human Media Interface, S.L.
    Inventors: Antonio Trias Bonet, Jesús Sanz Marcos, Antonio Trias Llopis, María Gimena Llopis Rivas
  • Patent number: 8053659
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences.
    Type: Grant
    Filed: July 6, 2007
    Date of Patent: November 8, 2011
    Assignee: Polyphonic Human Media Interface, S.L.
    Inventors: Vicenç Gaitan Alcalde, Julien Ricard, Antonio Trias Bonet, Antonio Trias Llopis, Jesús Sanz Marcos
  • Publication number: 20110270848
    Abstract: An artificial intelligence video analysis recommendation system and method is provided that allows video viewers to discover new videos and video producers to evaluate the potential success of a new project as well as to understand the perceptual factors beneath audience ratings. The system and method accomplish these tasks by analyzing a database of video in order to identify key similarities between different pieces of video, and then recommends pieces of video to a user depending upon their video preferences. An embodiment enables a user to evaluate a new video's similarity to videos already established as commercially valuable.
    Type: Application
    Filed: July 1, 2011
    Publication date: November 3, 2011
    Applicant: Polyphonic Human Media Interface S.L.
    Inventors: Antonio Trias Bonet, Jesús Sanz Marcos, Antonio Trias Llopis, María Gimena Llopis Rivas
  • Patent number: 7982117
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences.
    Type: Grant
    Filed: April 2, 2010
    Date of Patent: July 19, 2011
    Assignee: Polyphonic Human Media Interface, S.L.
    Inventors: Vincenç Gaitan Alcalde, Julien Richard, Antonio Trias Bonet, Antonio Trias Llopis, Jesús Sanz Marcos
  • Publication number: 20100250471
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences.
    Type: Application
    Filed: April 2, 2010
    Publication date: September 30, 2010
    Applicant: Music Intelligence Solutions
    Inventors: Vincenç Gaitan Alcalde, Julien Ricard, Antonio Trias Bonet, Antonio Trias Llopis, Jesús Sanz Marcos
  • Publication number: 20060254411
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences. An embodiment enables a user to evaluate a new song's similarity to songs already established as commercially valuable.
    Type: Application
    Filed: July 25, 2006
    Publication date: November 16, 2006
    Applicant: Polyphonic Human Media Interface, S.L.
    Inventors: Vicenc Gaitan Alcalde, Carlos Maria Lopez Ullod, Antonio Trias Bonet, Antonio Trias Llopis, Jesus Sanz Marcos, Daniel Caldentey Ysern, Dominic Arkwright
  • Patent number: 7081579
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences. An embodiment enables a user to evaluate a new song's similarity to songs already established as commercially valuable.
    Type: Grant
    Filed: October 3, 2003
    Date of Patent: July 25, 2006
    Assignee: Polyphonic Human Media Interface, S.L.
    Inventors: Vicenç Gaitan Alcalde, Carlos María López Ullod, Antonio Trias Bonet, Antonio Trias Llopis, Jesús Sanz Marcos, Daniel Caldentey Ysern, Dominic Arkwright
  • Publication number: 20040107821
    Abstract: An artificial intelligence song/music recommendation system and method is provided that allows music shoppers to discover new music. The system and method accomplish these tasks by analyzing a database of music in order to identify key similarities between different pieces of music, and then recommends pieces of music to a user depending upon their music preferences. An embodiment enables a user to evaluate a new song's similarity to songs already established as commercially valuable.
    Type: Application
    Filed: October 3, 2003
    Publication date: June 10, 2004
    Applicant: Polyphonic Human Media Interface, S.L.
    Inventors: Vicenc Gaitan Alcalde, Carlos Maria Lopez Ullod, Antonio Trias Bonet, Antonio Trias Llopis, Jesus Sanz Marcos, Daniel Caldentey Ysern, Dominic Arkwright