Joseph P Renner

Title: Joseph P. Renner: Innovator in Media Content Analysis

Introduction

Joseph P. Renner is a notable inventor based in Lille, France. He has made significant contributions to the field of media content analysis, holding three patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is the "Transition Detector Neural Network." This invention involves a method that extracts audio and video features from media content to classify transitions between different content segments. The process includes providing these features to a neural network, which determines whether a transition exists and outputs relevant transition data.

Another significant patent is the "Cover Song Identification Method and System." This method utilizes harmonic pitch class profile (HPCP) information to identify cover songs. The system derives major and minor chord profile features from the target audio content and uses machine learning to assess the relatedness of the target audio to items in a database, ultimately communicating the cover song information to the user.

Career Highlights

Joseph P. Renner is currently employed at Gracenote, Inc., where he continues to develop innovative solutions in media technology. His work has had a substantial impact on how audio and video content is analyzed and processed.

Collaborations

Throughout his career, Joseph has collaborated with talented individuals such as Robert Coover and Aneesh Vartakavi. These collaborations have contributed to the advancement of his projects and innovations.

Conclusion

Joseph P. Renner is a distinguished inventor whose work in media content analysis has led to valuable patents and advancements in technology. His contributions continue to shape the industry and inspire future innovations.