Davis, CA, United States of America

Krishna Kumar Singh

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2019-2024

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4 patents (USPTO):

Title: Innovations of Krishna Kumar Singh

Introduction

Krishna Kumar Singh is an accomplished inventor based in Davis, CA. He has made significant contributions to the field of video summarization technology. With a total of four patents to his name, Singh's work focuses on enhancing the efficiency of video processing through innovative methods.

Latest Patents

One of his latest patents is titled "Video summarization using semantic information." This invention involves an apparatus designed to process images from video segments using a machine learning algorithm. The algorithm determines a score for each image by detecting actions associated with various labels. Additionally, the apparatus calculates a second score for the video segment based on the scores of the corresponding images. This technology aims to decide whether to retain the video segment in memory based on the calculated score. Another patent under the same title describes an apparatus that segments an incoming video stream into multiple activity segments. Each frame is associated with a specific activity, and a scoring mechanism calculates a score for each frame based on the objects present. The summarizer then compiles the activity segments based on these scores.

Career Highlights

Krishna Kumar Singh is currently employed at Intel Corporation, where he continues to innovate in the field of video technology. His work at Intel has allowed him to explore advanced machine learning techniques and their applications in video processing.

Collaborations

Singh has collaborated with notable colleagues such as Myung Hwangbo and Teahyung Lee. Their combined expertise has contributed to the development of cutting-edge technologies in video summarization.

Conclusion

Krishna Kumar Singh's contributions to video summarization technology demonstrate his innovative spirit and commitment to advancing the field. His patents reflect a deep understanding of machine learning and its practical applications in video processing.

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