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Our VisionVisual Information Environment -- An integrated
framework for visual information acquisition, processing, presentation,
understanding, communication, archiving and user interaction.
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This concept embraces the sciences and arts of many technological fields:
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![]() © Xiahui Xiong |
The realization of this concept will empower the
future information technology in many applications:
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Our FocusCurrently at VIEL, our research efforts are orchestrated
along two major directions:
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| Our Projects |
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| Image and video compression: we have successfully developed a series of subband (wavelet) based image and video coding algorithm. The image coder was proposed to JPEG2000 committee in 1997, and it was ranked higher than several popular coders such as, SPIHT and EBCOT. Our 3-D subband video coder has several attractive features, such as high efficiency, error resilient and computational simplicity. |
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![]() © Hong Man |
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| Information assurance and network
security: -- we have investigated SAML distributed authentication and WS-Security architecture, along with SOAP, WSDL, XML Digital Signatures and Encryption, and SSL/TLS technologies for web services. -- we have been developing a distributed authentication mechanism with a joint design of networking and encryption to improve the scalability of secure data transactions over wireless networks. -- we successfully coordinated the SoE efforts in the application of NSA Center of Academic Excellence for Information Assurance. |
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Image analysis: -- we developed an end-to-end automatic target recognition system including FOA pre-screening, preferential compression, and VQ/NN classification for SAR images. -- we have developed an effective face recognition algorithm based on Linear Discriminate Analysis (LDA) of Fisher Scores obtained through Hidden Markov Model (HMM). -- we have been investigating a new texture classification method based on a unique directional filter bank and HMM for image and video indexing and retrieval. |
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| Medical imaging and bioinformatics:
-- we have developed a telemedicine platform with audio/video compression, image enhancement and analysis tools for remote diagnosis and treatment. -- we have been investigating texture classification and modeling tools for early cancer detection. -- we have been investigating the application of signal processing and statistical modeling techniques on microarray processing and associated bioinformatics analysis. |
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Education: -- we are offering a series of regular and on-line courses on the topics of data networking, image processing and multimedia systems. -- our lab is also supporting many student projects under various programs, including undergraduate honor program, senior design, undergraduate research, summer scholar program, Stevens Technogenesis program, and New York Academy of Science SRTP program. |
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| About
us
Prof. Hong Man joined Stevens Institute of Technology in 2000. He received his Ph.D. degree in Electrical Engineering from Georgia Institute of Technology in 1999. He is currently an assistant professor in the Department of Electrical and Computer Engineering, the director of the Visual Information Environment Laboratory at Stevens, and School of Engineering coordinator for NSA Center of Academic Excellence in Information Assurance. He is a member of the IEEE and ACM. He served as member of organizing committee and finance chair for IEEE International Workshop on Multimedia and Signal Processing (MMSP) 2002, member of technical program committee for IEEE Vehicular Technology Conference (VTC) Fall 2003, and multimedia session chair for IEEE Int. Conf. on Information Technology: Research and Education (ITRE) 2003. He is a committee member on IEEE SPS TC for Education. He was an active contributor to the ISO/ITU JPEG 2000 image coding standard. Our collaborators Prof. Mark J. T. Smith,
Purdue University -- image and video compression
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