Dr. Wu graduated from the Ross Univ, Sch of Med, Roseau, Dominica in 2002. He works in Turlock, CA and specializes in Family Medicine. Dr. Wu is affiliated with Emanuel Medical Center.
Hong Heather Yu - Plainsboro NJ Min Wu - Princeton NJ Xin Li - Princeton NJ Alexander D. Gelman - Brooklyn NY
Assignee:
Matsushita Electric Industrial Co., Ltd. - Osaka
International Classification:
G06K 900
US Classification:
382100, 713176, 348463
Abstract:
A data hiding system and method for providing a method of embedding multiple layers of hidden data into multimedia data. First, a media unit of the multimedia data is evaluated to determine an appropriate embedding procedure. Next during a first embedding pass, a ruling layer of primary hidden data is embedded into the media unit. In another embedding pass, a governing layer of secondary hidden data is embedded on top of the ruling layer. The secondary hidden data provides control information for controlling the primary hidden data and the host data. Control information such as error correction data, synchronization data, decoding data, and authentication data is embedded in the governing layer. Embedding schemes such as base domain and spectrum domain embedding are employed.
Min Wu - Princeton NJ Hong Heather Yu - Plainsboro NJ
Assignee:
Matsushita Electric Industrial Co., Ltd. - Osaka
International Classification:
G06K 900
US Classification:
382100, 713176, 713179
Abstract:
A method and apparatus of hiding identification data in visual media. When image or video data is received, frequency masking is performed to divide the image or video data into blocks of smooth regions and blocks of non-smooth regions and to obtain preliminary just-noticeable-difference. Edge detection is performed to divide the non-smooth region of the image or video data into texture blocks and edge blocks. Then blocks of regions that are substantially proximate to blocks of smooth regions of the image or video data are determined. The image or video data is then adjusted by applying different strength of watermark in association with the type of each block.
Dynamic Network Resource Allocation Using Multimedia Content Features And Traffic Features
Min Wu - Princeton NJ, US Robert A. Joyce - Princeton NJ, US Anthony Vetro - Staten Island NY, US Hau-San Wong - Causeway Bay, HK Ling Guan - Bexley North, AU Sun-Yuan Kung - Princeton NJ, US
Assignee:
Mitsubishi Electric Research Labs, Inc. - Cambridge MA
A method for dynamically allocating network resources while transferring multimedia at variable bit-rates in a network extracts first content features from the multimedia to determine renegotiation points and observation periods. Second content features and traffic features are extracted from the multimedia bit stream during the observation periods. The second content features and the traffic features are combined in a neural network to predict the network resources to be allocated at the renegotiation points.
Rotation, Scale, And Translation Resilient Public Watermarking For Images Using A Log-Polar Fourier Transform
Jeffrey A. Bloom - Plainsboro NJ Ingemar J. Cox - Lawrenceville NJ Matthew L. Miller - Princeton NJ Min Wu - Princeton NJ Ching-Yung Lin - New York NY Yui Man Lui - Middle Island NY
Assignee:
Signafy, Inc. - Princeton NJ
International Classification:
H04K 100
US Classification:
382100
Abstract:
A method for detecting a watermark signal in digital image data. The detecting method includes the steps of: computing a log-polar Fourier transform of the image data to obtain a log-polar Fourier spectrum; projecting the log-polar Fourier spectrum down to a lower dimensional space to obtain an extracted signal; comparing the extracted signal to a target watermark signal; and declaring the presence or absence of the target watermark signal in the image data based on the comparison. Also provided is a method for inserting a watermark signal in digital image data to obtain a watermarked image. The inserting method includes the steps of: computing a log-polar Fourier transform of the image data to obtain a log-polar Fourier spectrum; projecting the log-polar Fourier spectrum down to a lower dimensional space to obtain an extracted signal; modifying the extracted signal such that it is similar to a target watermark; performing a one-to-many mapping of the modified signal back to log-polar Fourier transform space to obtain a set of watermarked coefficients; and performing an inverse log-polar Fourier transform on the set of watermarked coefficients to obtain a watermarked image.
The Trustees of the University of Princeton - Princeton NJ
International Classification:
G06K 900
US Classification:
382100
Abstract:
A digital watermarking process whereby an invisible watermark inserted into a host image is utilized to determine whether or not the image has been altered and, if so, where in the image such alteration occurred. The watermarking method includes the steps of providing a look-up table containing a plurality of coefficients and corresponding values; transforming the image into a plurality of blocks, wherein each block contains coefficients matching coefficients in the look-up table; and embedding the watermark in the image by performing the following substeps for at least some of the blocks: First, a coefficient is selected for insertion of a marking value representative of a corresponding portion of the watermark. Next, the value of the selected coefficient to used to identify a corresponding value in the look-up table. Finally, the identified coefficient is left unchanged if the corresponding value is the same as the marking value, and is changed if the corresponding value is different from the marking value.
Jan 2011 to 2000 Risk Arbitrage AnalystHaver Analytics New York, NY Jul 2009 to Jan 2011 Senior Research AssociateIndustrial Bank Co., Ltd. - China Tianjian Aug 2007 to Jul 2008 Intern, Risk Management
Education:
Lubin School of Business New York, NY 2009 to 2010 Masters in Financial ManagementTianjin University of Finance and Economics - China 2003 to 2007 BS in Accounting
Skills:
Financial Modeling, Valuation, Data Management, Equity Analysis