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Dipl.-Ing. Thorsten Laude
Leibniz Universität Hannover
Institut für Informationsverarbeitung
Appelstr. 9A
30167 Hannover
Germany
phone: +49 511 762-19588
fax: +49 511 762-5333
office location: room 1312
 

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 where he currently pursues a PhD. His research interests are video coding (with special focus on intra prediction, screen content coding and scalable video coding) and deep learning. 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.

His current research interests are intra coding for HEVC, still image coding, and machine learning-based video encoder control.

Show selected publications only
  • Thorsten Laude, Jörn Ostermann
    Neural Network Compression using Transform Coding and Clustering
    NIPS Compact Deep Neural Network Representation with Industrial Applications Workshop, Montreal, Canada, December 2018
  • Thorsten Laude, Jan Tumbrägel, Marco Munderloh, Jörn Ostermann
    Non-linear Contour-based Multidirectional Intra Coding
    APSIPA Transactions on Signal and Information Processing, Cambridge University Press, Vol. 7, No. 11, Cambridge, October 2018, edited by Tatsuya Kawahara
  • Thorsten Laude
    A Comparison of JEM and AV1 with HEVC
    Proceedings of the 4th Summer School on Video Compression and Processing (SVCP), Leibniz Universität Hannover, Institut für Informationsverarbeitung, Hannover, Germany, July 2018, edited by Jan Voges
  • 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
    Proceedings of the IEEE Picture Coding Symposium (PCS), IEEE, San Francisco, CA (US), June 2018
  • Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann
    Extending HEVC with a Texture Synthesis Framework using Detail-aware Image Decomposition
    Proceedings of the Picture Coding Symposium (PCS), IEEE, San Francisco, US, June 2018
  • Thorsten Laude, Yannick Richter, Jörn Ostermann
    Neural Network Compression using Transform Coding and Clustering
    arXiv Pre-print 1805.07258, May 2018
  • Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann
    Detail-aware image decomposition for an HEVC-based texture synthesis framework
    Data Compression Conference (DCC), March 2018
  • Bastian Wandt, Thorsten Laude, Yiqun Liu, Bodo Rosenhahn, Jörn Ostermann
    Extending HEVC Using Texture Synthesis
    IEEE Visual Communications and Image Processing (VCIP), St. Petersburg, Florida, USA, December 2017
  • Thorsten Laude, Jörn Ostermann
    Contour-based Multidirectional Intra Coding for HEVC
    Proceedings of 32nd Picture Coding Symposium (PCS), Nuremberg, Germany, December 2016
  • Thorsten Laude, Jörn Ostermann
    Deep learning-based intra prediction mode decision for HEVC
    Proceedings of 32nd Picture Coding Symposium (PCS), Nuremberg, Germany, December 2016
  • Thorsten Laude, Jörn Ostermann
    Copy Mode for Static Screen Content Coding with HEVC
    IEEE International Conference on Image Processing (ICIP), IEEE, pp. 1930 - 1934, Québec City, Canada, September 2015
  • Thorsten Laude, Xiaoyu Xiu, Jie Dong, Yuwen He, Yan Ye, Jörn Ostermann
    Improved Inter-Layer Prediction for the Scalable Extensions of HEVC
    Data Compression Conference (DCC), IEEE, p. 412, Snowbird, UT, USA, March 2014
  • Thorsten Laude, Xiaoyu Xiu, Jie Dong, Yuwen He, Yan Ye, Jörn Ostermann
    Scalable Extension of HEVC Using Enhanced Inter-Layer Prediction
    IEEE International Conference on Image Processing (ICIP), IEEE, pp. 3739-3743, Paris, France, 2014
  • Thorsten Laude, Holger Meuel, Yiqun Liu, Jörn Ostermann
    Motion Blur Compensation in Scalable HEVC Hybrid Video Coding
    Proceedings of 30th Picture Coding Symposium, IEEE, pp. 313-316, San Jose, California, USA, December 2013
Other activities

Supervised theses

"Deep Learning-basierte prädiktive Bildcodierung mittels Extrapolation und Interpolation" (Noah Wöhler, ongoing)

"Prädiktion für die Codierung neuronaler Netzwerke" (Luca Brandt, ongoing)

"Konturmodellierung für die Deep Learning-basierte Videocodierung" (Jonas Haubold, ongoing)

"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)

Positions

Local Arrangements Chair for the 3DTV 2016 conference in Hamburg, Germany

Web Chair for the ICME 2017 in Hong Kong

Standardization contributions

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

Further information about HEVC

Information about the latest 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

Contact me for further information and for master or bachelor thesis proposals.