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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
    Contour-based Multidirectional Intra Coding for HEVC
    Proceedings of 32nd Picture Coding Symposium (PCS), Nuremberg, Germany, 2016
  • Thorsten Laude, Jörn Ostermann
    Deep learning-based intra prediction mode decision for HEVC
    Proceedings of 32nd Picture Coding Symposium (PCS), Nuremberg, Germany, 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, 2013
Other activities

Open theses

Next Generation Video Coding as bachelor or master thesis

Deep Learning as bachelor or master thesis

Other theses are available on demand

Supervised theses

"Deep Learning-based Predictive Image Coding Considering Contours" (ongoing)

"Abtastwertprädiktion für die konturbasierte Bildcodierung" (ongoing)

"Erweiterung einer konturbasierten Bildcodierung um relevante HEVC-Prädiktionsmodi" (ongoing)

"Kantenextrapolation in der prädiktiven Bildcodierung mit Subpel-Genauigkeit" (ongoing)

"Verbesserung der Kantenextrapolation in der prädiktiven Bildcodierung durch Übertragung von Seiteninformationen" (finalized in May 2017)

"Nichtlineare Kantenextrapolation für die Prädiktion in der Bildcodierung" (finalized in November 2016)

"Deep Learning basierte Videoencodersteuerung" (finalized in November 2016)

"Codierung von Videosignalen mit computergeneriertem Inhalt" (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

Teaching

Teaching assistant for the lecture Videocodierung

Lab exercise channel coding (multimedia lab)

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.