Thorsten Laude studied electrical engineering at Leibniz Universität Hannover with specialization on communication engineering and received his Dipl.-Ing. degree in 2013. In his diploma thesis "Bewegungsunschärfekompensation zur Verbesserung der Prädiktion in der skalierbaren Videocodierung" he developed a motion blur compensation algorithm for the scalable extension of HEVC. He joined InterDigital Communications for an internship in 2013. At InterDigital Communications, he intensified his research for the scalable extension of HEVC.
After graduating he joined Institut für Informationsverarbeitung at Leibniz Universität Hannover. He contributed to several standardization meetings for the next generation video coding standard "High Efficiency Video Coding" (HEVC) of the MPEG and VCEG "Joint Collaborative Team on Video Coding" (JCT-VC). His paper Improved Inter-Layer Prediction for the Scalable Extensions of HEVC published at the Data Compression Conference (DCC) 2014 won the Lucy A. Mahjoubian Distinguished Publication Award sponsored by InterDigital Communications.
He has more than 30 academic papers, standardization contributions, a patent, and patent applications.
His current research interests are intra coding for HEVC and VVC, still image coding, and machine learning-based video encoder control.
He submitted his PhD thesis with the title "Konturbasierte multidirektionale Intra-Prädiktion für die Videocodierung" in June 2020 and left Institut für Informationsverarbeitung at the end of July 2020.
"Deep Learning-basierte Intraprädiktion für die Videocodierung" (Sebastian Drath, finalized)
"Hyperparameter-Optimierung für die prädiktive Bildcodierung mit neuronalen Netzwerken" (Yuan Jin, finalized)
"Sample Value Prediction Using Neural Networks for Contour-based Image Coding" (Samir Mlika, finalized)
"Deep Learning-basierte prädiktive Bildcodierung mittels Extrapolation und Interpolation" (Noah Wöhler, finalized)
"Prädiktion für die Codierung neuronaler Netzwerke" (Luca Brandt, finalized)
"Konturmodellierung für die Deep Learning-basierte Videocodierung" (Jonas Haubold, finalized)
"Deep Learning-based Generation of Reference Pictures for Video Coding" (Felix Haub, finalized)
"Codierung von neuronalen Netzwerken" (Yannick Richter, finalized)
"Auto-encoder für die Codierung von Prädiktionsfehlerbildern" (Kevin Fröse, finalized)
"Neuronale Netzwerke für den Entwurf einer datenabhängigen Transformationscodierung für die prädiktive Bildcodierung" (Florian Mehringer, finalized)
"Deep Learning-based Predictive Image Coding Considering Contours" (Robin Kammel, finalized)
"Deep Learning-based Predictive Image Coding Considering Contours" (Jeff Reimer, finalized)
"Abtastwertprädiktion für die konturbasierte Bildcodierung" (Hua Yan, finalized in January 2018)
"Erweiterung einer konturbasierten Bildcodierung um relevante HEVC-Prädiktionsmodi" (Sebastian Drath, finalized in October 2017)
"Kantenextrapolation in der prädiktiven Bildcodierung mit Subpel-Genauigkeit" (Tong Zhao, finalized in July 2017)
"Verbesserung der Kantenextrapolation in der prädiktiven Bildcodierung durch Übertragung von Seiteninformationen" (Sarah Schütte, finalized in May 2017)
"Nichtlineare Kantenextrapolation für die Prädiktion in der Bildcodierung" (Jan Tumbrägel, finalized in November 2016)
"Deep Learning basierte Videoencodersteuerung" (Yeremia Adhisantoso Gunawan, finalized in November 2016)
"Codierung von Videosignalen mit computergeneriertem Inhalt" (Misagh Joolaee, finalized in January 2015)
"Inter-layer Prediction for Scalable Video Coding", United States Patent, patent number US 10,148,971
Local Arrangements Chair for the 3DTV 2016 conference in Hamburg, Germany
Web Chair for the ICME 2017 in Hong Kong
Thorsten Laude,
"Non-SCCE3: Improved Palette Index Coding with Contextualization",
Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 and ISO/IEC JTC1/SC29/WG11 Document JCTVC-R0113, 18th Meeting: Sapporo, JP, 2014
Thorsten Laude,
"CE6: Results for Test B3 on Improved Palette Index Coding with Contextualization",
Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 and ISO/IEC JTC1/SC29/WG11 Document JCTVC-S0074, 19th Meeting: Strasbourg, FR, 2014
Thorsten Laude,
"Copy Mode for Static Screen Content",
Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 and ISO/IEC JTC1/SC29/WG11 Document JCTVC-S0075, 19th Meeting: Strasbourg, FR, 2014
Thorsten Laude,
"Copy mode for static screen content coding",
Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 and ISO/IEC JTC1/SC29/WG11 Document JCTVC-T0138, 20th Meeting: Geneva, CH, 2015
Thorsten Laude,
"On slice segment freeze signalling for screen content coding",
Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 and ISO/IEC JTC1/SC29/WG11 Document JCTVC-U0119, 21th Meeting: Warsaw, PL, 2015
R. Joshi, Y.-K. Wang, G. Tech, T. Laude, J. Chen, J. Xu, G. J. Sullivan, S. Liu, Y. Ye,
"Proposed editorial improvements to HEVC Screen Content Draft Text 4",
Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 and ISO/IEC JTC1/SC29/WG11 Document JCTVC-V0031, 22th Meeting: Geneva, CH, 2015
The proposal documents are available at the JCT-VC homepage
My overview papers on the comparison of different video codecs including VVC, AV1, JEM and HEVC are:
Thorsten Laude, Yeremia Gunawan Adhisantoso, Jan Voges, Marco Munderloh, Jörn Ostermann, "A Comprehensive Video Codec Comparison", APSIPA Transactions on Signal and Information Processing, Cambridge University Press, Vol. 8, Cambridge, UK, October 2019, edited by Tatsuya Kawahara.
Thorsten Laude, Yeremia Gunawan Adhisantoso, Jan Voges, Marco Munderloh, Jörn Ostermann, "A Comparison of JEM and AV1 with HEVC: Coding Tools, Coding Efficiency and Complexity", 2018 Picture Coding Symposium (PCS), IEEE, San Francisco, CA (US), June 2018.
Information about the latest finalized video coding standard High Efficiency Video Coding (HEVC) is available from numerous sources, among them there are:
Overview paper:
Sullivan, G. J., Ohm, J.-R., Han, W., & Wiegand, T. (2012). Overview of the High Efficiency Video Coding (HEVC) Standard. IEEE Trans. on Circuits and Systems for Video Technology, Dec. 2012.
Link to IEEE Xplore
The reference software implementation of HEVC is available at this website
