Simply Wonderful Things

That Only Happen at SYDLAB

Simply Wonderful Things

That Only Happen at SYDLAB

Simply Wonderful Things

That Only Happen at SYDLAB

Simply Wonderful Things

That Only Happen at SYDLAB

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Research Topics


About Research

SYDLAB is researching technologies that make the video applications of your dreams come true in your daily life. We stream videos to you.

We create a walkable virtual reality (VR) space, allowing you to interact with spaces and people anytime and anywhere.


It is made possible through deep learning, future memory and hardware acceleration.

Deep Learning

We research various optimization techniques to apply cutting-edge deep learning technology to real systems.

Immersive Video

We study all stages of acquisition, rendering, and streaming for immersive video evolving from 2D to 3D.

Hardware Accelerator

We design and explore a domain-specific architecture for deep neural networks

Video Coding

We research compression techniques for unlimited storage and transmission of 2D video, omnidirectional video, volumetric video and light field.

eXtended Reality (AR/VR/MR) Systems

We conduct research that can effectively converge images and graphics for the

eXtended Reality system, the core technology of Metaverse.

Processing-in-Memory

We explore architectures that can dramatically improve system performance by reducing data movement through Processing-in-memory, an essential technology

for advanced memory.

10

On-going Projects

10

Research Members

36

Journal Publication

105

Conference Publication

Chae Eun Rhee, PhD


Principal Investigator of SYDLAB

Chae Eun Rhee received the B.S., M.S. and Ph.D. degrees

in Electrical Engineering and Computer Science from Seoul National University, Seoul, Korea, in 2000, 2002 and 2011, respectively. In 2013, she joined the Department of Information and Communication Engineering at Inha University, Korea.

 

Her research interests include algorithm/architecture

design of video coding and immersive media for the AR/VR/MR systems, deep-learning hardware accelerator and processing-in-memory.

Our Projects


Projects Area


  • On Going
  • Image Processing
  • Hardware Accelator
  • Research Center
On Going

On Going Project

  • Volumetric 영상 부호화 및 전송을 위한 기술
  • 스마트모빌리티 인공지능 시스템반도체 연구센터
  • Development of reference frame compression/decompression algorithm
  • 실시간 실감 영상 전송을 위한 라이트 필드 데이터의 구조 및 압축 연구
  • 서버 향 동영상 스트리밍의 압축 효율 향상을 위한 전처리 연구 개발
Image Processing

Image Processing Project

  • Volumetric 영상 부호화 및 전송을 위한 기술
  • Development of reference frame compression/decompression algorithm
  • 실시간 실감 영상 전송을 위한 라이트 필드 데이터의 구조 및 압축 연구
  • 서버 향 동영상 스트리밍의 압축 효율 향상을 위한 전처리 연구 개발
  • 라이트 필드 기반 실감 미디어 통합 플랫폼
Hardware Accelator

Hardware Accelator Project

  • 스마트모빌리티 인공지능 시스템반도체 연구센터
  • CMOS Image Sensor 영상 처리를 위한 저전력 deep learning HW IP 설계 기술 개발
  • 인공지능 반도체 융합전문인력육성사업
  • 스마트모빌리티 인공지능 시스템반도체 연구센터
  • 저전력, 고성능 빅데이터 서버용 프로세서-메모리-스토리지 통합 구조 원천기술 개발
Research Center

Research Center Project

  • 스마트모빌리티 인공지능 시스템반도체 연구센터
  • 산업융합형 차세대 인공지능 혁신인재교육 연구단
  • 인공지능 반도체 융합전문인력육성사업
  • 멀티미디어 시스템 반도체 연구 센터 ITRC 사업

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