Company Filing History:
1 out of 1,126 
1 out of 832,843 Years Active: 2016-2017
Title: Michael Jay Tarr: Innovator in Image Processing Technology
Introduction
Michael Jay Tarr is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of image processing, particularly in the selection of representative images from video content. With a total of 2 patents, Tarr's work has implications for enhancing user experience in digital media.
Latest Patents
Tarr's latest patents include innovative methods for selecting high valence representative images. In one embodiment, a plurality of images, which are frames from a video file, are received. A user requests a thumbnail picture that represents these images. The images are filtered based on various criteria, such as blurriness, proximity to scene transitions, the amount of text depicted, or color levels. Valence scores are determined for the images, predicting user responses based on their characteristics. The first image is selected based on its valence score and sent for display.
Another patent focuses on automated thumbnail selection for online video. This method provides access to optimal thumbnails extracted from a video stream. A processing device, configured with a model that incorporates preferences generated by the brain and behavior from visual perception, selects and displays the optimal thumbnail(s) for a given video.
Career Highlights
Throughout his career, Michael Jay Tarr has worked with prestigious institutions, including Carnegie Mellon University. His research and innovations have significantly advanced the field of image processing, making it easier for users to engage with visual content.
Collaborations
Tarr has collaborated with notable individuals in his field, including Mark Desnoyer and Sophie Lebrecht. These collaborations have contributed to the development of his innovative technologies.
Conclusion
Michael Jay Tarr's contributions to image processing technology demonstrate his commitment to enhancing user experiences in digital media. His patents reflect a deep understanding of visual perception and user interaction, marking him as a significant figure in his field.