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IEEE SCV Signal Processing Society

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Meetings: Usually second Monday of the month (except for July and August)

Location: National Semiconductor (north end of Building E - see map1 & map2, 2900 Semiconductor Dr., Santa Clara, CA 95051  (Near the intersection of Lawrence and Central Expressway);

Directions: Take 101 to Lawrence Expressway. Head south on Lawrence to Kifer (past Central). Turn right on Kifer. Turn right on Semiconductor Dr. and drive all the way back to north end to Buldg E.  Entrance is on the West side of the building.

Free Parking: National Semiconductor parking lot. 


Time: 
6:30pm: Fast Food & drinks ($2 Donation Recommended towards Refreshments)

7:00pm: Announcements
7:05pm: Talks starts
8:15pm: Adjourn


Subscribe to Announcements:  
Send an email to:
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Future meetings and seminars:

Date:  May 12, 2008

Title: Content-Adaptive Efficient Resource Allocation for Packet-Based Video Transmission

Speaker: Prof. Aggelos K. Katsaggelos, Department of EECS, Northwestern University

 

Abstract: Supporting video communication over lossy channels such as wireless networks and the Internet is a challenging task due to the stringent quality of service (QoS) required by video applications and the many channel impairments. Two important QoS characteristics for video are the degree of signal distortion and the transmission delay. Another important consideration is the cost associated with transmission, for example, the energy consumption in the wireless channel case and the cost for differentiated services in the Internet (with DiffServ) case.

In this presentation we consider the joint adaptation of the source coding parameters, such as the quantization step-size and prediction mode, along with the physical layer resources, such as the transmission rate and power. Our goal is to provide acceptable QoS while taking into account system constraints such as the energy utilization. We discuss a general framework that allows a number of "resource/distortion" optimal formulations for balancing the requirements of different applications. We conclude the presentation with some of the grand opportunities and challenges in designing and developing video communication systems.

Biography:

Prof. Aggelos K. Katsaggelos received the Diploma degree in electrical and mechanical engineering from the Aristotelian University of Thessaloniki, Greece, in 1979 and the M.S. and Ph.D. degrees both in electrical engineering from the Georgia Institute of Technology, in 1981 and 1985, respectively. In 1985 he joined the Department of Electrical Engineering and Computer Science at Northwestern University, where he is currently professor. He is also the Director of the Motorola Center for Seamless Communications and a member of the Academic Affiliate Staff, Department of Medicine, at Evanston Hospital. Dr. Katsaggelos is a member of the Publication Board of the IEEE Proceedings, the IEEE Technical Committees on Visual Signal Processing and Communications, and Multimedia Signal Processing, the Editorial Board of Academic Press, Marcel Dekker: Signal Processing Series, Applied Signal Processing, and Computer Journal. He has served as editor-in-chief of the IEEE Signal Processing Magazine (1997-2002), a member of the Publication Boards of the IEEE Signal Processing Society, the IEEE TAB Magazine Committee, an Associate editor for the IEEE Transactions on Signal Processing (1990-1992), an area editor for the journal Graphical Models and Image Processing (1992-1995), a member of the Steering Committees of the IEEE Transactions on Image Processing (1992-1997) and the IEEE Transactions on Medical Imaging (1990-1999), a member of the IEEE Technical Committee on Image and Multi-Dimensional Signal Processing (1992-1998), and a member of the Board of Governors of the IEEE Signal Processing Society (1999-2001). He is the editor of Digital Image Restoration (Springer-Verlag 1991), coauthor of Rate-Distortion Based Video Compression (Kluwer 1997), co-editor of Recovery Techniques for Image and Video Compression and Transmission, (Kluwer 1998), and co-author of Super-Resolution for Images and Video, (Morgan and Claypool, 2007), and co-author of Joint Source-Channel Video Transmission (Morgan and Claypool 2007). He was the holder of the Ameritech Chair of Information Technology (1997-2003), and he is the co-inventor of twelve international patents, a Fellow of the IEEE, and the recipient of the IEEE Third Millennium Medal (2000), the IEEE Signal Processing Society Meritorious Service Award (2001), an IEEE Signal Processing Society Best Paper Award (2001), an IEEE ICME Best Paper Award (2006), and an IEEE ICIP Paper Award (2007). He is a Distinguished Lecturer of the IEEE Signal Processing Society for 2007-2008.



Date:  June 2, 2008 (Note this meeting falls on the first Monday of the month.)

Title: Enhancing Image Fidelity through Spatio-Spectral Design for Color Image Acquisition, Reconstruction, and Display

Speaker: Keigo Hirakawa, Postdoctoral Research Associate, Harvard University, Department of Statistics

 

Abstract: In the first part of the talk, we consider extending an image denoising problem to the problem of missing or incomplete pixel values---either due to mechanical designs or distortions. In the context of wavelet-based image processing, missing or incomplete pixels pose a particularly difficult challenge because none of the wavelet coefficients can be observed. In this talk, a unified framework for coupling the EM algorithm with the Bayesian hierarchical modeling of transform coefficients is presented. This empirical-Bayes strategy offers a statistically principled and extremely flexible approach to a wide range of pixel estimation problems including image denoising, image interpolation, super resolution, demosaicking.

In the second part of the talk, we consider the "throughput" of color imaging systems. Pixel values are typically sensed or displayed via a spatial subsampling procedure implemented as a color filter array---a physical construction whereby only a single color value is measured or displayed at each pixel location. Owing to the growing ubiquity of acquisition and display devices, much of recent work has focused on the implications of such arrays for subsequent digital processing, including in particular the canonical demosaicking task of reconstructing a full color image from spatially subsampled and incomplete color data acquired under a particular choice of array pattern. In contrast to the majority of the acquisition and display literature, we consider here the problem of color filter array design and its implications for spatial reconstruction quality. We prove the sub-optimality of a wide class of existing array patterns, and provide a constructive method for its solution that yields robust, new panchromatic designs implementable as subtractive colors.

Biography:

Dr. Keigo Hirakawa is currently a postdoctoral research associate at Harvard University, working under Prof. Xiao-Li Meng in the Statistics Department. His current research generalizes image processing techniques to the case when the given image has missing data. In the context of wavelet-based image modeling, the parameter estimation and image denoising are difficult problems because the wavelet transform takes a linear combination of the image signal, and thus the noisy wavelet coefficients are no longer observed. Using the EM algorithm framework, however, the considerations for the missing pixel imputation and the model parameter estimation can be combined into a unified theoretical framework. He also gives talks at universities and industries in greater Boston area regularly.

The majority of the image processing algorithms proposed today present engineering solutions to imaging problems. Keigo Hirakawa's multidisciplinary research in model-based signal processing, however, is motivated by mathematical, statistical, psychological, and real-world models. In particular, he is interested in bridging the noticeable disconnect between the current engineering solutions to imaging problems and areas of studies that include statistics, human visual system, color science, and device-specific noise models.

Hirakawa graduated magna cum laude from Princeton University with B.S.E. in electrical engineering, a minor in computer science, and another minor in music performance (1,2). He became interested in image processing while interning at NEC Corporation in Japan in 1998, and he helped design digital camera hardware for Hewlett-Packard in 1999.

After graduating from Princeton, Hirakawa began the M.S./Ph.D program at Cornell University. He is greatly indebted to his research advisor, Prof. Thomas W. Parks. Although he is most well-known for his work in demosaicing algorithm, Hirakawa worked extensively in model-based image processing, including image denoising, methods to combine demosaicing and denoising, and color science. He has been an imaging consultant, lecturer, and research engineer at Texas Instruments, Hewlett Packard, Agilent Technologies, and Sony. He has also written a complete MPEG-4 simple profile encoder in Matlab and a complete H.261 codec in assembly language. He completed his M.S. in 2003, and Ph.D in 2005.

Hirakawa maintains an active second career as a jazz pianist. He was educated at Eastman School of Music and in 2006, completed his M.M. degree in jazz studies at New England Conservatory of Music in Boston.

Hirakawa is currently seeking a tenure-track assistant professor position.


 

Past Meeting Flyers, Abstracts and Slides

Apr 14, 2008: RF Systems Design :Fundamental Theory and WiMAX Examples

Mar 10, 2008: Digital Fingerprinting for Multimedia Forensics

Feb 11, 2008: Simplified Fast Motion Estimation: Simplified and Unified Multi-Hexagon Search (SUMH) with Context Adaptive Lagrange Multiplier (CALM)

Jan 7, 2008: An Open Baseband Processing Architecture for Future Mobile Terminal Design

Dec 10, 2007: Re-Live the Movie "The Matrix": From Harry Nyquist to Image-Based Rendering

Nov 12, 2007: Efficient Techniques for MPEG-2 to H.264 VideoTranscoding

Oct 8, 2007: Overview of Multimedia Signal Processing on Multi-Core Processors

Sep 17, 2007: Transceiver Designs for Multicarrier Transmission

Sep 10, 2007: Overview of WiMax Technology and Evolution {Slides}

May, 2007: Tesla Roadster: Embedded microprocessors and Design trade-offs!

March, 2007: A Simulation Model for IEEE 802.11n

Feb 12, 2007: A/D and D/A Converters with Integrated High-speed Compression

May 12, 2006: New Directions in Home Theater Systems

Apr 10, 2006: Correcting Distortion in Multi-media Audio Terminals

Feb 13, 2006: Distributed Wireless Communication: A Shannon-Theoretic Perspective on Fading Multihop Networks {Slides}

Dec 12, 2005: Mobile WiMAX: True Broadband Wireless Enabled {Slides}

Jun 13, 2005: Using Technology to Keep Other Countries Honest 

Apr 25, 2005: How many antennas does it take to get broadband wireless access? - The story of MIMO {Slides}

Jan 10, 2005: Converting MATLAB Algorithms to FPGA or ASIC Designs

Dec 13, 2004: Reconfigurable Systems Emerge {Slides}

Nov 08, 2004: Nonlinear adaptive systems

Sept 13, 2004: Anytime, Anywhere IP Communications

June 14, 2004: Fortran 95, or Matlab meets C++

April 12, 2004:On the Deployment of the Voice Biometric: Challenges and Best Practices

March 08, 2004: Telephony Speech Recognition Application Testing {Slides}

Feb 05, 2004:Speech Technology for Computer Assisted Language Learning (CALL) {Slides}

 


Charter

IEEE Santa Clara Valley Signal Processing Society focuses on all aspects of the theory and application of Signals involving filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical etc.

 

2007 Officers 

 Chair

 Tokunbo Ogunfunmi

tokunbo[at]ieee[dot]org

 

Vice Chair

 

Xiaoshu Qian

xiaoshu[dot]qian[at]intel[dot]com

Treasurer

Vlad Potanin

vlad[dot]potanin[at]nsc[dot]com

Secretary

Douglas Chan

douglas[dot]chan[at]ieee[dot]org

 

Program Coordinator

Yen-Kuang Chen

y[dot]k[dot]chen[at]ieee[dot]org

 

 

Photos from past meetings 

URL:
http://www.ewh.ieee.org/r6/scv/sps 

2006 Officers

Chairman
M Saseetharran

Vice Chairman/ Treasurer
Man Po (Bill) Lam

Program Co-ordinator
Brian Sublett

Treasurer
Ozur Oyman

Secretary
Madan Ankapura

 

2005 Officers

Chairman
M Saseetharran

Vice Chairman/ Treasurer
Man Po (Bill) Lam

Program Co-ordinator
Brian Sublett

Secretary
Vikash Rungta

Just Joined
Madan Ankapura

 

2004 Officers

Chairman
M Saseetharran

Vice Chairman
P S Chang

Secretary
Nelson Zierbach

Treasurer
V (Ramki) Ramakrishna

Auxiliary Officer
Kenneth White

 

 

 

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(Last modified: Apr 26, 2008)