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Embedded Compression for Embedded Intelligent Vision & Video System

Research Project

Project/Area Number 17J10477
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeSingle-year Grants
Section国内
Research Field Computer system
Research InstitutionWaseda University

Principal Investigator

郭 栗  早稲田大学, 情報生産システム研究科, 特別研究員(DC2)

Project Period (FY) 2017-04-26 – 2019-03-31
Project Status Discontinued (Fiscal Year 2018)
Budget Amount *help
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2018: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2017: ¥900,000 (Direct Cost: ¥900,000)
Keywordsembedded compression / power consumption / neural network / video coding / computer vision
Outline of Annual Research Achievements

Nowadays, video coding and computer vision algorithms are widely applied in mobile devices, such as smartphones and wireless sensor networks. While many of these devices are battery powered or even battery-less, a low energy consumption is crucial. In this research, I focus on reducing the dominant energy consumption of DRAM access by embedded compression.
DRAM access power is proportional to its volume, so it can be reduced by compressing data before storing them to DRAM and decompressing data after fetched back. Hence, I researched on the embedded compression for embedded video and vision systems.
In this year, I mainly focus on reducing the size of deep convolutional neural networks based on pruning, quantization and encoding, and submitted one journal paper.

Research Progress Status

平成30年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

平成30年度が最終年度であるため、記入しない。

Report

(2 results)
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • Research Products

    (7 results)

All 2018 2017

All Journal Article (3 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 3 results,  Open Access: 1 results) Presentation (4 results) (of which Int'l Joint Research: 4 results)

  • [Journal Article] Lossy Compression for Embedded Computer Vision Systems2018

    • Author(s)
      Li Guo, Dajiang Zhou, Jinjia Zhou, Shinji Kimura, and Satoshi Goto
    • Journal Title

      IEEE Access

      Volume: 6 Pages: 39385-39397

    • DOI

      10.1109/access.2018.2852809

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Distortion Control and Optimization for Lossy Embedded Compression in Video Codec System2017

    • Author(s)
      Li Guo, Dajiang Zhou, Shinji Kimura, and Satoshi Goto
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E100.A Issue: 11 Pages: 2416-2424

    • DOI

      10.1587/transfun.E100.A.2416

    • NAID

      130006191397

    • ISSN
      0916-8508, 1745-1337
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Framework and VLSI Architecture of Measurement-Domain Intra Prediction for Compressively Sensed Visual Contents2017

    • Author(s)
      Jianbin Zhou, Dajiang Zhou, Li Guo, Takeshi Yoshimura, and Satoshi Goto
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E100.A Issue: 12 Pages: 2869-2877

    • DOI

      10.1587/transfun.E100.A.2869

    • NAID

      130006236503

    • ISSN
      0916-8508, 1745-1337
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Presentation] Low-Cost Approximate Multiplier Design using Probability-Driven Inexact Compressors2018

    • Author(s)
      Yi Guo, Heming Sun, Li Guo, Shinji Kimura
    • Organizer
      2018 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Sparseness Ratio Allocation and Neuron Re-pruning for Neural Networks Compression2018

    • Author(s)
      Li Guo, Dajiang Zhou, Jinjia Zhou, and Shinji Kimura
    • Organizer
      IEEE Int. Symposium on Circuits and Systems (ISCAS)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Embedded Frame Compression for Energy-Efficient Computer Vision Systems2018

    • Author(s)
      Li Guo, Dajiang Zhou, Jinjia Zhou, and Shinji Kimura
    • Organizer
      IEEE Int. Symposium on Circuits and Systems (ISCAS)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Measurement-Domain Intra Prediction Framework for Compressively Sensed Images2017

    • Author(s)
      Jianbin Zhou, Dajiang Zhou, Li Guo, Takeshi Yoshimura, and Satoshi Goto
    • Organizer
      IEEE Int. Symposium on Circuits and Systems (ISCAS)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research

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Published: 2017-05-25   Modified: 2024-03-26  

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