Company Filing History:
Years Active: 2010-2012
Title: The Innovative Contributions of Feng Niu
Introduction
Feng Niu is a notable inventor based in Miami, FL, who has made significant contributions to the field of video processing. With a focus on developing methods for video segmentation and scene boundary detection, Niu has been instrumental in advancing technology in this area. He holds 2 patents that showcase his innovative approach to solving complex problems in video analysis.
Latest Patents
Feng Niu's latest patents include a "Method and system for video segmentation" and a "Method for detecting scene boundaries in genre independent videos." The first patent describes a method that segments a video by classifying audio frames with labels and assigning dominant labels to successive time intervals. A semantic description is constructed for overlapping sliding time windows, and markers are determined from transition matrices to segment the video effectively. The second patent outlines a computer-implemented method that detects scene boundaries by extracting feature vectors from videos of various genres. These feature vectors are classified using a support vector machine that is trained to be genre-independent, enhancing the accuracy of scene boundary detection.
Career Highlights
Throughout his career, Feng Niu has worked with prestigious organizations such as Mitsubishi Electric Research Laboratories, Inc. and Mitsubishi Electric Corporation. His experience in these companies has allowed him to refine his skills and contribute to groundbreaking projects in video technology.
Collaborations
Feng Niu has collaborated with talented individuals in his field, including Ajay Divakaran and Naveen Goela. These collaborations have fostered an environment of innovation and creativity, leading to advancements in video processing techniques.
Conclusion
Feng Niu's contributions to video segmentation and scene boundary detection highlight his role as a leading inventor in the technology sector. His patents reflect a commitment to innovation and problem-solving in video analysis.