Company Filing History:
Years Active: 2017-2018
Title: Innovations by Stephen Neish
Introduction
Stephen Neish is an accomplished inventor based in Winter Park, FL (US). He has made significant contributions to the field of computer vision and video processing. With a total of 3 patents, Neish has developed innovative technologies that enhance video viewing experiences.
Latest Patents
One of his latest patents is a data-enhanced video viewing system and methods for computer vision processing. This system scans videos to detect and extract specific objects, such as human faces, allowing for the compilation of non-time-based synopses, including 'facelines' of individuals appearing in the video sequence. Additionally, it provides a time-based synopsis that includes timestamps for all detected objects. The system can be deployed on a network, enabling clients to request data extraction on designated videos, which may include those uploaded to social networks or online video hosting sites.
Another notable patent is focused on deeply learned convolutional neural networks (CNNs) for object localization and classification. This Convolutional Neural Network includes an initial set of convolutional layers and max pooling units. The input is convoluted with learned image filters, producing a stack of different filter responses. The process can be repeated multiple times, resulting in a stack of space-invariant scaled images. A Region Of Interest (ROI) Pooling layer is utilized to select regions for processing by fully connected layers, determining where objects of various scales could be located.
Career Highlights
Stephen Neish works at Sighthound, Inc., where he continues to innovate in the field of video processing and computer vision. His work has garnered attention for its practical applications in enhancing video content analysis.
Collaborations
Some of his notable coworkers include Syed Zain Masood and Guang Shu, who contribute to the collaborative environment at Sighthound, Inc.
Conclusion
Stephen Neish's contributions to video processing and computer vision through his patents demonstrate his innovative spirit and commitment to advancing technology. His work continues to impact the way we interact with video content.