Yamato, Japan

Rei Odaira

USPTO Granted Patents = 15 

Average Co-Inventor Count = 1.6

ph-index = 2

Forward Citations = 17(Granted Patents)


Location History:

  • Yomato, JP (2012)
  • Kanagawa Prefecture, JP (2012)
  • Yamato, JP (2012 - 2013)
  • Kanagawa, JP (2013 - 2014)
  • Kanagawa-ken, JP (2013 - 2015)
  • Tokyo, JP (2015 - 2016)
  • Austin, TX (US) (2016 - 2022)

Company Filing History:


Years Active: 2012-2022

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15 patents (USPTO):Explore Patents

Title: Innovations of Rei Odaira: Pioneering Video Action Classification and Optimization

Introduction

Rei Odaira is a prolific inventor based in Yamato, Japan, known for her significant contributions to technology and innovation. With a remarkable portfolio of 15 patents, Odaira has made strides in advancing methodologies for video action classification and optimizing mathematical programs, reflecting her expertise in the intersection of computer science and engineering.

Latest Patents

Among her latest patents, two stand out for their innovative approaches:

1. **Method and System for Video Action Classification by Mixing 2D and 3D Features** - This patent details a groundbreaking method and system that enhance video action classification by integrating both 2D and 3D convolutional neural network processing pathways. The method enables the extraction of spatial features from individual video frames and spatiotemporal features from a series of video frames, ultimately combining these features to generate a precise classification label for varied video actions.

2. **High-Level Optimization of Mathematical Programs Based on Inductive Inference from Execution Traces** - This invention involves a method for optimizing programs stored in non-transitory storage media. By generating execution traces and inferring substitute formulae from these traces, the invention seeks to transform complex programmed formulas into more efficient forms, thereby reducing computational complexity significantly.

Career Highlights

Rei Odaira currently works at International Business Machines Corporation (IBM), a global leader in technology and consulting. Throughout her career, she has demonstrated exceptional skill in developing innovative solutions that address contemporary challenges in video analysis and computational optimization.

Collaborations

At IBM, Rei collaborates with notable colleagues including Takuya Nakaike and Hideaki Komatsu. These partnerships contribute to a vibrant research environment where cutting-edge ideas are exchanged, fostering creativity and technological advancements.

Conclusion

Rei Odaira's contributions to the fields of video action classification and mathematical program optimization exemplify the impact of innovative thinking in technology. Her work continues to influence the development of advanced computational methods, helping to shape the future of video analytics and beyond. With a solid foundation in research and collaboration, Odaira is poised to make even more significant contributions in the realm of innovations and inventions.

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