Group Member

Trista P. Chen
Ph.D. Alumna
Trista is currently a Research Scientist at Intel Labs (link to bio)

Email:

Personal Homepage: http://home.comcast.net/~trista.chen

Mailing Address:
Intel Corporation
SC12-303
2200 Mission College Blvd.
Santa Clara, CA 95054

[Research Interests] [Projects] [Publications]

Research Interests

My general area of interest is in Signal Processing, Computer Vision, Computer Graphics, and Computer Architecture. My current research focus is in bridging computer vision and computer graphics, as well as microprocessor architecture design (please visit Intel's Microprocessor Technology Labs' website). Some of my projects during Ph.D. study and research intern experience are summarized below.

Projects @ CMU Advanced Multimedia Processing Labs

	Joint Source Channel Coding using Rate Shaping Rate shaping selectively drops portions of the video bitstream before transmitting them in order to satisfy the network bandwidth requirement. In wireless multimedia transport over heterogeneous networks, the high error rate of the channel should be considered as well. We propose a rate shaping method that drops not only the source-coding segments of the video bitstream, but also the channel-coding segments of the video bitstream, adaptively according to the network condition. For more details on the project please see the Rate Shaping Project Page.
	Decoder Error Concealment We introduce a new stochastic modeling technique called updating mixture of principal components (UMPC). UMPC specifically captures the non-stationary as well as the multi-modal characteristics of the data. Real-world data such as video data typically have these two characteristics. The video content changes over time and has a multi-modal probability distribution. We apply UMPC to perform error concealment for video data transmitted over networks with losses. For more details on the project please see the Error Concealment Project Page.
	Traffic and Channel Modeling We introduce a new stochastic process called the punctured autoregressive (AR) process, and use it to model both the variable bit rate (VBR) video traffic and the wireless channel dynamics. The model captures the long-range dependency (LRD) characteristics as well as the short-range dependency (SRD) characteristics of the video traffic and wireless channel dynamics. For more details on the project please see the Traffic and Channel Modeling Project Page.
	Watermarking/Data Hiding We propose a general framework for blind watermark detection. This framework contains a maximum-likelihood detector that utilizes the probability distribution of the original image. Other watermark detectors in literature are shown to be special cases of this framework. We demonstrate this framework in both the pixel domain and the transform domain, and show that our detector outperforms others because of 1) better modeling of the probability distribution of the original image, and 2) consideration to the human visual system in this framework. For more details on the project please see the Watermark Detection Project Page.

Projects @ HP Cambridge Research Lab

Near-Similar Image Retrieval for Massive Database HP Research Lab Image Similarity Project Page

Projects @ HP's Cambridge Research Lab

Biometric Authentication CMU Secure Continuous Biometric-Enhanced Authentication Project Page

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Publications

Journals and Technical Reports:

T. P.-C. Chen, and T. Chen, "Error Concealment Aware Rate Shaping for Wireless Video Transport", accepted for publication on EURASIP Signal Processing: Image Communication, Special Issue on Recent Advances in Wireless Video, 2003.
T. P.-C. Chen, and T. Chen, "Fine-Grained Rate Shaping for Video Streaming over Wireless Networks", submitted to EURASIP Journal on Applied Signal Processing, Special Issue on Multimedia over IP and Wireless Networks, November 2002.
T. P.-C. Chen and T. Chen, "Second-Generation Error Concealment for Video Transport over Error Prone Channels", Wireless Communications and Mobile Computing, Special Issue on Multimedia over Mobile IP, October 2002.
T. P.-C. Chen and T. Chen, "A Framework for Optimal Public Watermark Detection", Carnegie Mellon University Technical Report: AMP01-03.
(Invited paper) T. P.-C. Chen, Y.-S. Chen, and W.-H. Hsu, "A Digital Image Watermarking System: Modeling, Performance Analysis, and Application", Journal of Computers, March 2001.

Conference papers:

T. P.-C. Chen, and T. Chen, "Rate Shaping for Video with Frame Dependency", IEEE Conference on Multimedia and Expo (ICME'03). Baltimore, MD, July 2003.
T. P.-C. Chen, and T. Chen, "Error Concealment Aware Rate Shaping for Wireless Video Transport", submitted to Packet Video 2003, Nantes, France, April 2003.
T. P.-C. Chen and T. Chen, "Fine-Grained Rate Shaping for Video Streaming over Wireless Networks", to appear in ICASSP 2003, Hong Kong, China.
T. P.-C. Chen and T. Chen, "Second-Generation Error Concealment for Video Transport over Error-Prone Channels", ICIP 2002, Rochester, NY, U.S.A., September 2002.
T. P.-C. Chen and T. Chen, "Updating Mixture of Principal Components for Error Concealment", ICIP 2002, Rochester, NY, U.S.A., September 2002.
T. P.-C. Chen and T. Chen, "Adaptive Joint Source-Cannel Coding Using Rate Shaping", ICASSP 2002. , Orlando, FL, U.S.A., May 2002.
T. P.-C. Chen and T. Chen, "Markov Modulated Punctured Autoregressive Processes for Traffic and Channel Modeling", Packet Video 2002, Pittsburgh, PA, U.S.A., April 2002.
(Invited paper) T. P.-C. Chen and T. Chen, "Life After Video Coding Standards: Rate Shaping and Error Concealment", Lecture Notes in Computer Science series of Springer Verlag for Visual Information System 2002, Hsinchu, Taiwan, March 2002.
T. P.-C. Chen and T. Chen, "A Framework for Optimal Blind Watermark Detection". ACM Multimedia 2001 Workshop on Multimedia and Security: New Challenges, Ottawa, Ontario, Canada, Oct. 1-5, 2001.
T. P.-C. Chen and T. Chen, "Progressive Image Watermarking". IEEE Intl. Conf. on Multimedia and Expo. (ICME'00), New York, July 2000.
T. P.-C. Chen, W.-H. Hsu, and Y.-S. Chen, "Modeling, performance analysis, and applications of digital image watermarking systems". 1999 12th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP'99), Taipei, Taiwan, August 1999.
T. P.-C. Chen, Y.-S. Chen, and W.-H. Hsu, "A Communication System Model for Digital Image Watermarking Problems", World Multiconference on Systems, Cybernetic, and Informatics (ISAS'99), Orlando, FL, U.S.A., July 1999.
T. P.-C. Chen, Y.-S. Chen, and W.-H. Hsu, "Adaptive-Rate Image Watermarking based on Spread Spectrum Communication Technique", 3rd World Multiconference on Circuits, Systems. Communications and Computers (CSCC'99), Athens, Greece, July 1999.

Patents:

T. Chen, T. P.-C. Chen and Yuh-Feng Hsu, "Method for Video Error Concealment by Updating Statistics", applying for U.S. and Taiwan patents, October 2002.
T. P.-C. Chen, T. M. Murali, and R. Sukthankar, "System and Method for Efficiently Finding Near Similar Images in Massive Databases", filed for U.S. Patent: 10/005,193, December 2001.

Theses:

Ph.D. Thesis, "Error-Resilient Rate Shaping for Video Streaming over Packet-Loss Networks", Carnegie Mellon University, May 2003.
M.S. Thesis: Modeling, Performance Analysis, and Applications of Digital Image Watermarking Systems, National Tsing Hua University, May 1999, awarded 1999 IICM Best Thesis Award.

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