Gerald Friedland

Gerald Friedland (born 1978, Berlin) is an adjunct professor at the Electrical Engineering and Computer Science Department of the University of California, Berkeley [1][2] and a Principal Scientist at the Lawrence Livermore National Laboratory.[3] He also maintains an affiliation with the International Computer Science Institute.

Education

Gerald Friedland completed his Masters and Doctorate degrees in computer science from Free University of Berlin in 2002 and 2006, respectively.[4] His PhD advisor was Raúl Rojas. He then moved to the International Computer Science Institute where he completed his a postdoc under Nelson Morgan before continuing to be a research scientist and group leader there.[5]

Career

Friedland is a computer scientist specializing in the processing and analysis of multimedia data and machine learning.[6] He is mostly known as the original author of the widely used "Simple Interactive Object Extraction" image and video segmentation algorithm,[7][8][9][10][11][12][13][14] created as part of his PhD thesis,[15][16] and as the co-author of the current textbook on Multimedia Computing.[17] He also led the initiative to create and release the YFCC100M corpus (see also: List of datasets for machine learning research),[18][19][20] the largest freely available research corpus of consumer-produced videos and images. He co-founded the field of geolocation estimation for images and videos, sometimes also referred to as placing.[21][22][23] Friedland also frequently uncovers privacy risks in multimedia publishing practice[24][25][26][27][28][29][30][31] and heads the development of the teachingprivacy.org[32] portal which provides educational materials for use in US high-schools as part of the AP Computer Science Principles and the Code.org initiative. Friedland is also the co-creator of MOVI, an open-source speech recognition board that allows the creation of cloudless voice interfaces[33] for Internet of things devices.

His most cited paper on YFCC100M and the multimedia challenges around it[34] is being cited at a rate of more than two citations per week according to Google Scholar.[35]

Awards

2015: Winner Association for Computing Machinery Multimedia Grand Challenge [36]
2015: Bay Area Maker Faire Editor's Choice Award[37]
2009: Winner Association for Computing Machinery Multimedia Grand Challenge [38]
2007: IEEE CS Distinguished Service Award
2002: European Academic Software Award
2000: Gründerpreis Multimedia of the German Ministry of Finance and Technology
1998: Winner Jugend forscht Berlin (Mathematics and Computer Science)[39]

References

  1. https://www2.eecs.berkeley.edu/Faculty/Homepages/friedland.html
  2. https://bids.berkeley.edu/people/gerald-friedland
  3. https://people.llnl.gov/friedland1
  4. http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000002354
  5. http://www.marketwired.com/press-release/uc-berkeley-affiliated-icsi-launches-two-new-groups-audio-multimedia-research-1756966.htm
  6. Google Scholar list of publications: https://scholar.google.com/citations?user=iBl-QgEAAAAJ
  7. https://stackoverflow.com/questions/3886071/what-are-the-standard-techniques-for-removing-a-segmentation-such-as-a-human-or
  8. http://tavmjong.free.fr/INKSCAPE/MANUAL/html/Trace-SIOX.html
  9. http://www.pixelite.co.nz/article/using-gimps-foreground-select-tool/
  10. http://www.paintshopprotutorials.co.uk/html/foreground_select_tool_gimp.html
  11. http://labs.byhook.com/2010/03/30/kutout/
  12. https://github.com/fiji/Siox_Segmentation
  13. https://imagej.net/SIOX:_Simple_Interactive_Object_Extraction
  14. Shoou Jiah Yiu, Gerald Friedland: "Method and system for identifying objects in images" US Patent Application US20170132469A1
  15. Gerald Friedland: "Adaptive Audio- und Videoverarbeitung für elektronische Kreidetafelvorlesungen", Freie Universitaet Berlin, October 2006. http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000002354
  16. Gerald Friedland: "Adaptive Audio and Video Processing for Electronic Chalkboard Lectures", Lulu Publishing, ISBN 978-1430303886, December 2006. 2016 reprint: ISBN 978-3-659-97771-8, Lambert Publishing, November 2016.
  17. Friedland, Gerald and Jain, Ramesh "Multimedia Computing", Cambridge University Press, October 2014.
  18. Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li. "YFCC100M: The New Data in Multimedia Research". Communications of the ACM, Vol. 59 No. 2, Pages 64-73
  19. YFCC100M: YFCC100M
  20. The Multimedia Commons
  21. Gerald Friedland, Oriol Vinyals, and Trevor Darrell: "Multimodal Location Estimation", in Proceedings of the ACM International Conference on Multimedia (ACM Multimedia 2010), Florence, Italy, October 2010, pp. 1245-1251.
  22. Choi, Jaeyoung, Friedland, Gerald "Multimodal Location Estimation of Videos and Images", Springer Publishing October 2014
  23. Nils Peters, Howard Lei, Gerald Friedland: "Room identification using acoustic features in a recording", US Patent US20140161270A1
  24. Web Photos That Reveal Secrets, Like Where you Live (New York Times, Aug 11, 2010)
  25. Tips to Turn Off Geo-Tagging on Your Cell Phone (ABC News, Aug 20, 2010)
  26. Could you fall victim to crime simply by geotagging location info to your photos? (Digital Trends, Jul 22, 2013)
  27. Ways to Avoid Email Tracking (New York Times, Dec 25, 2014)
  28. BodyWorn, the police-worn camera that aims to reduce crime (Fox News, May 19, 2015)
  29. Paris ISIS Attacks: Tech Industry Says 'Anti-Terror' Back Doors Would Make US Less Safe (International Business Times, Nov 18, 2015)
  30. Why our Crazy Smart AI still sucks at Transcribing our Speech (Wired Magazine, Apr 8, 2016)
  31. Transcribing Audio Sucks—So Make Machines Like Trint Do It (Wired Magazine, Apr 26, 2017)
  32. http://teachingprivacy.org
  33. Gerald Friedland Bertrand Irissou: Method of facilitating construction of a voice dialog interface for an electronic system, US Patent Application US15382163.
  34. Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li: "YFCC100M: The new data in multimedia research" Communications of the ACM, 59(2), pp. 64-73
  35. https://scholar.google.com/citations?user=iBl-QgEAAAAJ
  36. http://www.acmmm.org/2015/
  37. http://makerfaire.com/maker/entry/50874/
  38. https://parlab.eecs.berkeley.edu/491
  39. https://www.jugend-forscht.de/projektdatenbank/world-wide-radio-audio-live-uebertragung-durch-das-internet.html
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