News 10/10/2014: Together with Danny Bickson (GraphLab), John Hannon (Boxfish) and Hassan Sayyadi (Comcast Labs DC) I am organizing the First Workshop on Recommendation Systems for Television and Online Video (RecSysTV) on October 10th, 2014, as part of the 2014 RecSys conference. Please check out the workshop web page for more information about the topic and the exciting program. We hope to see you there! 7/2013: I presented a talk at the yearly meeting of the National Cable and Television Association (NCTA) on how to combine TV usage statistics with social signals such as Twitter for improved popularity prediction of TV Shows. Here is the link to the paper. (Also, see here for an interesting take on our use of random forests :-) http://www.multichannel.com/blog/translation-please/best-ncta-s-tech-papers-part-2/373214) 8/31/2010: During the summer of 2010 I led a research team at the summer workshop of the Center for Language and Speech Processing at Johns Hopkins University. For 6 weeks we worked on combining text and video analysis to identify and localize complex actions in broadcast videos. You can find more detailed information about our project and our results here. Personal Research Manager at Comcast Labs, Washington, DC, a research lab which is part of CoMPASS (Comcast Meta-data Products and Search Services). The best way to reach me is via email at either jan_neumann AT cable DOT comcast DOT com (work) or jankneumann AT gmail DOT com (private). Research Overview Research Manager, Comcast Labs DC (2013 - now) Since 2013, I manage the video content analysis group within Comcast Labs DC, but also expanded my focus to work on novel algorithms and product prototypes in the areas of personalized media recommendations, large-scale machine learning and big data analysis, specifically focusing on applications to combine video content analysis with big data within Comcast. Lead Researcher, StreamSage/Comcast (2009 - 2013) For the last couple years I have been working as a Lead Researcher as part of CoMPASS (Comcast Meta-data Products and Search Services, see this news article for some additional information) where I research novel audio/video information retrieval and content discovery technologies to help millions of households discover video and music content on their TV, PC, Phone, and Mobile devices. Siemens Corporate Research (2004 - 2008) At Siemens I worked from August 2004 until December 2008 as a Research Scientist for the Real-time Vision and Modeling Department of Siemens Corporate Research (Princeton, NJ) and the Information & Communication Division of Siemens Corporate Technology (Munich, Germany). I mainly worked on pedestrian detection as part of a night vision system for cars (video of a comparison of our system against BMW and Daimler-Chrysler - in German) and for surveillance applications (see my CVPR 2007 paper). Doctoral Research at the University of Maryland, College Park (1997 - 2004) During my graduate studies in the Computer Vision Lab at the University of Maryland (Advisor: Yiannis Aloimonos) I studied the geometry and statistics of visual space-time, i.e. representations of 3D shape and movement that can be extracted from images. This work had applications in many areas of computer vision and graphics, for example it lead to
More detailed information about my research can be found on my research overview page and in my publications. While this site is under construction, you can find more information about my thesis work at my old university web page here. Selected Publications (see Publications for the full list)
"The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man." G.B. Shaw |
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