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

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DVMM news (All news)
09/2015 Published survey paper on compact hashing for large-scale retrieval (more)
09/2015 A new project on Multilingual Visual Sentiment Ontology launched (more)
09/2015 DVMM launched EventNet large-scale structured video event ontology and detectors (more)
04/2015 DVMM alum John R. Smith inducted IBM Fellow, the company's most prestigious technical honor (more)
01/2015 Prof. Chang gave distinguished lecture at UCLA (more)
09/2014 NewsRover project won the 2nd demo prize at NYC Media Lab Summit (more)
09/2014 DVMM Demos at NYC Media Lab Summit: News Rover, Assistive Image Comment Robot (more)
07/2014 DVMM alum Hari Sundaram joins UIUC CS as tenured faculty (more)
06/2014 DVMM alum Shahram Ebadollahi became Vice President, Health Informatics Research & Chief Science Officer, IBM Healthcare (more)
04/2014 Subh and Felix won Best Paper Award at ICMR 2014 (more)
03/2014 Felix Yu received 2014 IBM PhD Fellowship Award (more)

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