Location History:
- Jonan-ku, Fukuoka-shi, Fukuoka JP (2003)
- Fukuoka-shi, Fukuoka JP (2004)
Company Filing History:
Years Active: 2003-2004
Title: Vasily Moshnyaga: Innovator in Motion Estimation Technology
Introduction
Vasily Moshnyaga is a notable inventor based in Fukuoka-shi, Fukuoka, Japan. He has made significant contributions to the field of motion estimation technology, holding 2 patents that showcase his innovative approach to solving complex computational problems.
Latest Patents
Moshnyaga's latest patents include a motion estimation method and apparatus for interrupting computation which is determined not to provide a solution. This method allows for high-speed processing by setting an optimum threshold value. It involves sequentially selecting blocks to be searched, calculating differences between sample values, and interrupting the accumulation of differences when a prescribed threshold is exceeded. The method aims to enhance efficiency in motion estimation by adapting the threshold value based on the reference block.
Another significant patent is the adaptive difference computing element and motion estimation apparatus that dynamically adapts to input data. This invention is designed to consume less power while maintaining calculation accuracy. It includes a circuit that determines prescribed relations between data bits and a subtracter that processes the data accordingly.
Career Highlights
Throughout his career, Moshnyaga has demonstrated a commitment to advancing technology in motion estimation. His innovative methods have the potential to improve processing speeds and reduce power consumption in various applications.
Collaborations
Moshnyaga has worked alongside talented individuals such as Toyohiko Yoshida and Kazuya Ishihara, contributing to a collaborative environment that fosters innovation and creativity.
Conclusion
Vasily Moshnyaga's contributions to motion estimation technology reflect his dedication to innovation and problem-solving. His patents not only highlight his technical expertise but also pave the way for advancements in computational efficiency.