The DVMM Lab at Columbia University is dedicated to research of multimedia content analysis, retrieval and communication. We are particularly interested in answering questions such as what information can be extracted by computers from images, videos and multimodal data, how such information can be harnessed to build large-scale search engines and recognition systems, and how to achieve optimal system performance in constrained environments such as mobile devices.
To reach these goals, we tackle related problems in computer vision, machine learning, signal processing and information retrieval with focus in the following areas.
|
multimedia search and retrieval |
|
machine learning and computer vision |
|
mobile communication and applications |
|
media security and forensics |
|
|
benchmarking and standard |
|
06/2013 Prof. Chang received Great Teacher Award (more) 06/2013 DVMM members won Best Poster/Demo Awards (more) 05/2013 Wei Liu receives Jury Thesis Award (more) 03/2013 DVMM Papers to appear in CVPR 2013 (more) 03/2013 Prof. Chang to receive IEEE Signal Processing Society Technical Achievement Award (more) 12/2012 Prof. Chang delivered invited talks at ECCV Internet Vision and NIPS BigVision workshops (more) 11/2012 DVMM group publishes survey paper on high-level event detection in video (more) 11/2012 DVMM alums received awards at ACM Multimedia 2012 (more) 08/2012 Prof. Chang co-directs the new NSF IGERT program on From Data to Solutions. (more) |
* This is the new version of DVMM website,
for the previous version please go to
For problems or questions regarding this web site contact The Web Master. Last updated: Sept., 2012.