Intelligent Media Processing Lab

Our lab focuses on the algorithms and VLSI architectures for multimedia signal processing. 1) We deal with measurement coding algorithms for compressively sensed visual contents to realize a batteryless video acquisition system.  2) We develop the techniques to realize low-power high-performance VLSI design for video codecs including H.265/HEVC and H.264/AVC. 3) We do research on the machine learning technologies for image/video processing.


  • 2020/04 Our three papers are accepted by CVPRW2020. Congratulations to Minh-Man Ho, and Man Hoang Trinh and Huyen T. T. Bui.

  • 2019/12 Our paper "Temporal Redundancy Reduction in Compressive Video Sensing by using Moving Detection and Inter-Coding" is accepted by DCC2020. Congratulations to Jirayu Peetakul.

  • 2019/10 Our paper "Respecting low-level components of content with skip connections and semantic information in image style transfer" is accepted by the ACM SIGGRAPH European Conference on Visual Media Production. Congratulations to Minh-Man Ho.

  • 2019/09 Our paper "Down-Sampling Based Video Coding with Degradation-aware Restoration-Reconstruction Deep Neural Network" is accepted by MMM2020. Congratulations to Minh-Man Ho.

  • 2019/08 Our paper "B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction" is accepted by PCS. Congratulations to Man Hoang Trinh.

  • ​2019/08  Our paper "Deep Learning-based Luma and Chroma Fractional Interpolation in Video Coding" is accepted by IEEE Access. Congratulations to Chi Do-Kim Pham.


  • 2019/04  Jinjia gave a talk at Video Live Stack Conference, Shanghai, China.

  • 2019/01  Jinjia visited National Central University, Yuan Ze University, and Tamkang University in Taiwan

  • 2019/01  Jinjia visited A*Star, Singapore-ETH Centre, NEC laboratory in Singapore.

  • 2019/01 Jinjia gave a talk at the international workshop on future media, Hangzhou, China.

  • 2018/12 Our paper "A Measurement Coding System for Block-based Compressive Sensing Images by Using Pixel-Domain Features" is accepted by IEEE Data Compression Conference (DCC 2019). Congratulations to Jirayu Peetakul.

Address: W6036, 3-7-2 Kajino, Koganei, Tokyo 184-8584, Japan.

Tel:+ 042 387 6363