David Doermann, Ph.D: Co-founder
Dr. David Doermann is the President of Applied Media Analysis,
Inc. With over seventeen years of experience, he is responsible
for the company's strategic direction while overseeing company
operations. Since 1993, he has served co-director of the Laboratory
for Language and Media Processing in the University of Maryland's
Institute for Advanced Computer Studies and an adjunct member of
the Graduate Faculty. His team of 15-20 researchers focuses on topics
related to document image analysis and multimedia information processing.
Recent intelligent document image analysis projects include page
decomposition, structural analysis and classification, page segmentation,
logo recognition, document image compression, duplicate document
image detection, image based retrieval, character recognition,
generation of synthetic OCR data, and signature verification. In
video processing, projects have centered around the segmentation
of compressed domain video sequences, structural representation
and classification of video, detection of reformatted video sequences
and the performance evaluation of automated video analysis algorithms.
He recently chaired the 2004 International Conference on Mobile
and Ubiquitous Multimedia, is writing a book chapter on camera
based OCR, and is chairing a workshop dedicated in camera based
image analysis at ICDAR 2005.
Huiping Li, Ph.D: Co-founder & Chief Technology
Dr. Huiping Li is the Chief Technology Officer of Applied
Media Analysis, Inc. where he leads the technical team to develop
mobile barcode recognition and text recognition algorithms and
systems on mobile devices. Before joining Applied Media Analysis,
Inc, he was an associate director of R&D at Genex Technologies,
Inc., leading the medical imaging related research. He has worked
at the Language and Media Processing Lab, University of Maryland
as a research scientist, leading research in document analysis.
Prior to his work at the University of Maryland, he worked for
ObjectVideo, Inc. where he developed video segmentation algorithms
for applications in video coding and surveillance. He earned a
Ph.D. degree in Electrical Engineering from the University of Maryland,
College Park in 2000. He has served and is serving as PI or Co-PI
for several government sponsored projects related to mobile image
processing and computer vision in camera enabled mobile devices.