Research

Current Research

Algorithm and Standardization Video Compression for Next-Generation Video Codec
- Enhanced Video Codec Model (ECM):
  - Deblocking filter
  - Bilateral filter
  - Adaptive loop filter
  - Intra Biltaral Filter
  - Cross-component prediction
  - Decoder Side Intra Mode Derivation (DIMD)
  - Fusion for template-based intra-mode derivation (TIMD)
  - Template based Clipping

Past Research

Perception-guided-prefiltering based Perceptual Video Coding
- This research is a collaboration project research between KAIST and the Prime Video AMAZON team and is funded by the AMAZON.
Perceptual Adaptive Quantization Parameter and Rate Control for HEVC
- This research was partly supported by:
  - This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2019-2016-0-0028) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation)
  - Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF–2018R1A2B2008238)
- Publications:
  - Ismail Marzuki and Donggyu Sim, “A Deep Learning-Based Rate Control for HEVC Intra Coding," 2019년 한국방송·미디어공학회 하계학술대회, Nov. 2019. [Available Online]
  - Ismail Marzuki and Donggyu Sim, “Perceptual Adaptive Quantization Parameter Selection using Deep Convolutional Features for HEVC Encoder," Journal of IEEE Access, Feb. 2020. [Available Online]
  - Ismail Marzuki and Donggyu Sim, “Deep Convolutional Features based Rate Control for HEVC Encoder," Journal of IEEE Access, 2020 [on progress]
  - Ismail Marzuki and Donggyu Sim, “Rate Control on H.265 Encoder Software," Journal of IEEE Access, 2020
Application Design of Steganography
- This research was supported by DIPA Fellowship for Final Project of Bachelor
- Publications:
  - Jasril, Ismail Marzuki, “Application Design to Embed Text and File to Uncompressed File with Least Significant Bit,” Journal of Computer Science; vol. 8 no. 2 pp. 137-151, Mar. 2012. [Available Online]
  - Jasril, Ismail Marzuki, Rahmat Faisal, “Capacity Enhancement of Messages Concealment in Image and Audio Steganography,” International Journal on Smart Sensing and Intelligent Systems (S2IS), vol. 6, no. 5, pp. 1970-1985, Dec. 2013. [Available Online]
  - Jasril, Ismail Marzuki, Rahmat Faisal, “Modification Four Bits of Uncompressed Steganography using Least Significant Bit (LSB) Method,” International Conference Advance Computer Science and Information Systems (ICACSIS) 2012, pp. 287-292, Depok, Indonesia, Dec. 2012. [Available Online]
Clustering Method Implementation to Identify and Classify the Forest Spread of Riau Province Using Satelite Imagery
- This research was supported by:
  - Sciences and Technology Collective Research of The faculty of Science and Technology,
- Publications:
  - Inggih Permana, Ismail Marzuki, Detha Yurisna, ”Normalized RGB Color Space for Segmentation Google Earth Imagery,” The 4th of National Conference Technology Information Communication and Industry (SNTIKI- 4); ISSN: 2085-9902, pp. 126-133, Pekanbaru, Indonesia, Oct. 2012.
  - Nesdi Efrilyan Rozanda, Ismail Marzuki, Inggih Permana, “Utilization Google Earth Imagery for Segmentation Green Land Spread,” The 4th of National Conference Technology Information Communication and Industry (SNTIKI- 4); ISSN: 2085-9902, pp. 119-125, Pekanbaru, Indonesia, Oct. 2012.
Fast Encoding on HEVC
- This research was supported by:
  - MISP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency)
  - Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning
- Publications:
  - Ismail Marzuki, Hyunho Jo, Donggyu Sim, “Fast Intra Mode Decision for HEVC Intra Coding,” The 18th IEEE International Symposium on Consumer Electronics (ISCE), pp. 106-107, Jeju, South Korea, Jul. 2014. [Available Online]
  - Ismail Marzuki, Jonghyun Ma, Donggyu Sim, “Full Depth RQT after PU Decision for Fast Encoding of HEVC,” The 18th IEEE International Symposium on Consumer Electronics (ISCE), pp. 106-107, Jeju, South Korea, Jul. 2014. [Available Online]
  - Ismail Marzuki, Jonghyun Ma, Yongjo Ahn, and Donggyu Sim, “A Context-Adaptive Fast Intra Coding Algorithm of High Efficiency Video Coding (HEVC),” Springer: Journal of Real-Time Image Processing, Feb. 2016. [Available Online]
Tile Level Rate Control for HEVC
- This research was partly supported by:
  - Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF–2014R1A2A1A11052210)
  - The MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2016-0-00288) supervised by the IITP (Institute for Information & communications Technology Promotion).
- Publications:
  - Ismail Marzuki, Yong-Jo Ahn, Donggyu Sim, "Tile Level Rate Control for High Efficiency Video Coding (HEVC) on Multi-core Platform," 2015 Korea Society of Broadcast Engineers Conference, South Korea, Oct. 2015. [Available Online]
  - Ismail Marzuki, Yongjo Ahn, and Donggyu Sim, “Tile-level Rate Control for Multi-core Platform on HM HEVC Video Encoders on Multi-core Platforms,” International Contribution on Video Coding: Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T and ISO/IEC JTC 1/SC 29/WG 11, China, 2016.[Available Online]
  - Ismail Marzuki, Yongjo Ahn, and Donggyu Sim, “Tile-level Rate Control for HEVC Video Encoders on Multi-core Platforms,” Springer: Journal of Real-Time Image Processing, Sept. 2017. [Available Online]