• Home
  • About us
  • Awards
  • Sharp Japan wins Innovation and Environment Bureau Director-General's Award of 2024 Industrial Standardization Business Award
  • Sharp Japan wins Innovation and Environment Bureau Director-General's Award of 2024 Industrial Standardization Business Award

    ▲Takeshi Chujo, Chief Researcher, Communication and Video Standard Technology Research Institute, R&D BU, receiving a certificate of Innovation and Environment Bureau Director-General's Award of 2024 Industrial Standardization Business Award

    At the 2024 Industrial Standardization Business Award hosted by the Ministry of Economy, Trade and Industry, Takeshi Chujo, Chief Researcher at the Communication and Video Standard Technology Research Institute, R&D BU, received the Innovation and Environment Bureau Director-General's Award (Industrial Standardization Contribution) and Keiichiro Takada, Systems, Algorithms and Services Researcher at Sharp Laboratories of America Inc., received the Innovation and Environment Bureau Director-General's Award (International Standardization Encouragement). The award ceremony was held on October 8, at the Toshi Center Hotel (Chiyoda-ku, Tokyo).

    The Industrial Standardization Business Award recognizes individuals and organizations with outstanding achievements in promoting industrial standardization activities, such as the formulation of international standards by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC), the formulation of Japanese Industrial Standards (JIS), and conformity assessment activities. The Innovation and Environment Bureau Director-General's Award is given to individuals who have contributed to the formulation of standards and conformity assessment activities and are expected to continue their activities in the future.

    Takeshi Chujo, who received the Industrial Standardization Contributor Award, has participated as an expert in video coding standardization meetings centered on ISO/IEC JTC 1/SC 29※1 (coding of audio, picture, multimedia, and hypermedia information)/WG 11 (MPEG/Moving Picture Experts Group) and the restructured WG 5 for over 20 years, making numerous technical proposals such as AVC, HEVC, and VVC. He also served as the project editor for VSEI (Versatile Supplemental Enhancement Information) standard, contributing to the formulation of technical specifications for multiple international standards.

    Keiichiro Takada, who received the International Standardization Encouragement Award, participated as an expert in the standardization meetings of ISO/IEC JTC 1/SC 29/WG 5 and ISO/IEC JTC 1/SC 29/WG 7, contributing with technical proposals for the Versatile Supplemental Enhancement Information (VSEI) and V-PCC (Video-based Point Cloud Compression)※2 standards. He also contributed to the introduction of complexity transmission technology to ensure the operation of the decoder in the supplemental enhancement information (SEI) for neural network※3 post-filters, laying the foundation for technologies to be used in the next-generation 3D market.

    ※1
    JTC 1/SC 29: SC29, a subcommittee under ISO and IEC JTC 1, is responsible for standardizing multimedia coding standards. The standards developed by JPEG and MPEG are utilized in digital cameras, video cameras, mobile devices such as smartphones and portable music players, and they support the core of AIoT.
    ※2
    V-PCC (Video-based Point Cloud Compression): A method of coding point clouds, which are three-dimensional data, by utilizing video coding technology. It is sufficiently lightweight to operate in real-time on smartphones and is expected to be used in the market, contributing to high image quality and reduced transmission code volume, enabling services that overlay computer-generated images on real images for viewing from free perspectives in XR (Cross Reality).
    ※3
    Neural Network: A mathematical model representing the neural cells (neurons) and neural circuits in the human brain, it is a type of machine learning technology that automatically learns data rules and patterns, and is an essential technology for AI (artificial intelligence).

    Back to top