Patents by Inventor Francine R. Chen

Francine R. Chen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10198635
    Abstract: Systems and methods disclosed herein associate images with business venues. An example method includes: receiving a first image and retrieving textual reviews and stored images that are associated with one or more candidate business venues. The method further includes: detecting, using trained visual detectors, a plurality of business-aware concepts in the first image and assessing likelihood that detected business-aware concepts are in the first image. The method additionally includes: (i) generating a first representation of the first image based on the likelihoods and one or more term vectors for high-scoring concepts and (ii) receiving second representations of each candidate based on the retrieved textual reviews and stored images. In accordance with determining that the first representation is most similar to a respective second representation of a first candidate, the method includes: (i) associating the first image with the first candidate and (ii) providing an indication of the association.
    Type: Grant
    Filed: January 19, 2016
    Date of Patent: February 5, 2019
    Assignee: FUJI XEROX CO., LTD.
    Inventors: Bor-Chun Chen, Yin-Ying Chen, Francine R. Chen, Dhiraj Joshi
  • Publication number: 20170228445
    Abstract: Systems and methods disclosed herein present topic-centric visualizations of collaboration data. An example method includes: obtaining a set of topics based on an analysis of collaboration data and displaying an interactive visualization that includes first UI elements that correspond to each topic (first UI elements corresponding to similar topics are positioned close together). In response to receiving a specified time period for the interactive visualization, the method includes: identifying a subset of the plurality of persons that are associated with the specified time period. The method additionally includes: obtaining a first set of connections between the set of topics and the subset and a second set of connections between related persons in the subset. The method further includes: updating the interactive visualization to include second UI elements corresponding to each respective person of the subset and visual representations of each connection in the first and second sets.
    Type: Application
    Filed: February 10, 2016
    Publication date: August 10, 2017
    Inventors: Patrick Chiu, Francine R. Chen
  • Publication number: 20170206416
    Abstract: Systems and methods disclosed herein associate images with business venues. An example method includes: receiving a first image and retrieving textual reviews and stored images that are associated with one or more candidate business venues. The method further includes: detecting, using trained visual detectors, a plurality of business-aware concepts in the first image and assessing likelihood that detected business-aware concepts are in the first image. The method additionally includes: (i) generating a first representation of the first image based on the likelihoods and one or more term vectors for high-scoring concepts and (ii) receiving second representations of each candidate based on the retrieved textual reviews and stored images. In accordance with determining that the first representation is most similar to a respective second representation of a first candidate, the method includes: (i) associating the first image with the first candidate and (ii) providing an indication of the association.
    Type: Application
    Filed: January 19, 2016
    Publication date: July 20, 2017
    Inventors: BOR-CHUN CHEN, YIN-YING CHEN, FRANCINE R. CHEN, DHIRAJ JOSHI
  • Patent number: 8650187
    Abstract: Techniques for training and using linked event detection systems and transforming source-identified stopwords are provided. A training corpus of source identified stories and a reference language is determined. Optionally, stopwords for source-identified stories are transformed based on statistical analysis of parallel verified and un-verified transformations. Reference language and non-reference language terms are selectively included in source-pair term frequency-inverse story frequency models. Optionally, incremental source-identified term frequency-inverse story frequency models are determined. Selected terms are weighted and similarity metrics determined. Associated source-pair statistics, computed in part from a training corpus, are combined with the values of each similarity metric in the set of similarity metrics to form a similarity vector. Similarity vectors and verified link label information are used to determine a predictive model.
    Type: Grant
    Filed: July 25, 2003
    Date of Patent: February 11, 2014
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Francine R. Chen, Ayman O. Farahat, Thorsten H. Brants
  • Patent number: 8432449
    Abstract: An integrated method for modeling the handoff between cameras for tracking a specific individual, including: creating a representation of overlaps, gaps, and allowable movement among the fields of view of the cameras, wherein the representation is modeled as states in a Hidden Markov Model (HMM); training the HMM using video of people walking through the fields of view of the cameras; selecting a person to be tracked; and identifying the best camera area using the HMM.
    Type: Grant
    Filed: August 13, 2007
    Date of Patent: April 30, 2013
    Assignee: Fuji Xerox Co., Ltd.
    Inventors: Francine R. Chen, Tao Yang, Donald G. Kimber
  • Patent number: 8260062
    Abstract: A system, a computer readable storage medium including instructions, and method for generating genre models used to identify genres of a document. For each document image in a set of document images that are associated with one or more genres, the document image is segmented into a plurality of tiles, wherein the tiles in the plurality of tiles are sized so that document page features are identifiable, and features of the document image and the plurality of tiles are computed. At least one genre classifier is trained to classify document images as being associated with one or more genres based on the features of the document images in the set of document images, the features of the plurality of tiles of the set of documents images, and the one or more genres associated with each document image in the set of documents images.
    Type: Grant
    Filed: May 7, 2009
    Date of Patent: September 4, 2012
    Assignee: Fuji Xerox Co., Ltd.
    Inventors: Francine R. Chen, Yijuan Lu, Matthew Cooper
  • Patent number: 8005833
    Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.
    Type: Grant
    Filed: November 13, 2006
    Date of Patent: August 23, 2011
    Assignee: Xerox Corporation
    Inventors: Eytan Adar, Lada A. Adamic, Francine R. Chen
  • Patent number: 7962471
    Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.
    Type: Grant
    Filed: November 13, 2006
    Date of Patent: June 14, 2011
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Eytan Adar, Lada A. Adamic, Francine R. Chen
  • Patent number: 7925081
    Abstract: Systems and computer-implemented methods for use in body pose estimation are provided. Training data is obtained, where the training data includes observation vector data and corresponding pose vector data for a plurality of images. The observation vector data is representative of the images in observation space. The pose vector data is representative of the same images in pose space. Based on the training data, a model is computed that includes parameters of mapping from the observation space to latent space, parameters of mapping from the latent space to the pose space, and parameters of the latent space. The latent space has a lower dimensionality than the observation space and the pose space.
    Type: Grant
    Filed: December 12, 2007
    Date of Patent: April 12, 2011
    Assignee: Fuji Xerox Co., Ltd.
    Inventors: Abhinav Gupta, Trista Pei-chun Chen, Francine R. Chen, Donald G. Kimber
  • Publication number: 20100284623
    Abstract: A system, a computer readable storage medium including instructions, and method for generating genre models used to identify genres of a document. For each document image in a set of document images that are associated with one or more genres, the document image is segmented into a plurality of tiles, wherein the tiles in the plurality of tiles are sized so that document page features are identifiable, and features of the document image and the plurality of tiles are computed. At least one genre classifier is trained to classify document images as being associated with one or more genres based on the features of the document images in the set of document images, the features of the plurality of tiles of the set of documents images, and the one or more genres associated with each document image in the set of documents images.
    Type: Application
    Filed: May 7, 2009
    Publication date: November 11, 2010
    Inventors: Francine R. Chen, Yijuan Lu, Matthew Cooper
  • Patent number: 7577654
    Abstract: Techniques for new event detection are provided. For a new story and a corpus of stories, story-pairs based on the new story and each corpus story are determined. Adjustments to the importance of terms are determined based on story characteristics associated with each story. Story characteristics are based on direct or indirect characteristics. Direct story characteristics include authorship, language associated with a story and the like. Indirect story characteristics may include derived characteristics such as an ROI category characteristic, a same ROI characteristic, a same event-same source characteristic, an average story similarity characteristic or any other known or later developed characteristic associated with a story. Adjustments to the inter-story similarity metrics are then determined based on story characteristics and/or a weighting function.
    Type: Grant
    Filed: July 25, 2003
    Date of Patent: August 18, 2009
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Thorsten H. Brants, Francine R. Chen, Ayman O. Farahat
  • Publication number: 20090154796
    Abstract: Systems and computer-implemented methods for use in body pose estimation are provided. Training data is obtained, where the training data includes observation vector data and corresponding pose vector data for a plurality of images. The observation vector data is representative of the images in observation space. The pose vector data is representative of the same images in pose space. Based on the training data, a model is computed that includes parameters of mapping from the observation space to latent space, parameters of mapping from the latent space to the pose space, and parameters of the latent space. The latent space has a lower dimensionality than the observation space and the pose space.
    Type: Application
    Filed: December 12, 2007
    Publication date: June 18, 2009
    Applicant: FUJI XEROX CO., LTD.
    Inventors: Abhinav Gupta, Trista Pei-chun Chen, Francine R. Chen, Donald G. Kimber
  • Patent number: 7529765
    Abstract: One aspect of the invention is that of efficiently and incrementally adding new terms to an already trained probabilistic latent semantic analysis (PLSA) model.
    Type: Grant
    Filed: November 23, 2004
    Date of Patent: May 5, 2009
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Thorsten H. Brants, Ioannis Tsochantaridis, Thomas Hofmann, Francine R. Chen
  • Publication number: 20090046153
    Abstract: An integrated method for modeling the handoff between cameras for tracking a specific individual, including: creating a representation of overlaps, gaps, and allowable movement among the fields of view of the cameras, wherein the representation is modeled as states in a Hidden Markov Model (HMM); training the HMM using video of people walking through the fields of view of the cameras; selecting a person to be tracked; and identifying the best camera area using the HMM.
    Type: Application
    Filed: August 13, 2007
    Publication date: February 19, 2009
    Applicant: FUJI XEROX CO., LTD.
    Inventors: Francine R. Chen, Tao Yang, Donald G. Kimber
  • Patent number: 7451395
    Abstract: Techniques for determining interactive topic-based summarization are provided. A text to be summarized is segmented. Discrete keyword, key-phrase, n-gram, sentence and other sentence constituent based summaries are generated based on statistical measures for each text segment. Interactive topic-based summaries are displayed with human sensible omitted text indicators such as alternate colors, fonts, sounds, tactile elements or other human sensible display characteristics useful in indicating omitted text. Individual and/or combinations of discrete keyword, key-phrase, n-gram, sentence, noun phrase and sentence constituent based summaries are dynamically displayed to provide an overview of topic and subtopic development within a text. A hierarchical and interactive display of texts based on the use of discrete sentence constituent based summaries which associates expansible and contractible displayed text provides contextualized access to an interactive topic-based text summary and to an original text.
    Type: Grant
    Filed: December 16, 2002
    Date of Patent: November 11, 2008
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Thorsten H. Brants, Francine R. Chen, Annie E. Zaenen
  • Publication number: 20080181499
    Abstract: Foreground segmentation in real world dynamic scenes, including under various lighting and shadow conditions, is disclosed. It may be used with one or multiple cameras for various automated tasks, such as classification of moving object, tracking moving objects, and event detection in various indoor or outdoor environments. Pixel to pixel subtraction is performed on each frame, followed by a feature-level based foreground segmentation to properly validate the foreground pixels. In this step, for each pixel in the image, a neighborhood of pixels is selected, and the aggregate change in the neighborhood image is used to classify foreground and background pixels. Normalized cross correlation is then applied to the neighborhood of each pixel that was confirmed to be foreground pixel.
    Type: Application
    Filed: January 31, 2007
    Publication date: July 31, 2008
    Applicant: FUJI XEROX CO., LTD.
    Inventors: Tao Yang, Francine R. Chen, Donald G. Kimber
  • Patent number: 7376893
    Abstract: Techniques for determining sentence based interactive topic-based summarization are provided. A text to be summarized is segmented. Discrete keyword, key-phrase, n-gram, sentence and other sentence constituent based summaries are generated based on statistical measures for each text segment. Interactive topic-based summaries are displayed with human sensible omitted text indicators such as alternate colors, fonts, sounds, tactile elements or other human sensible display characteristics useful in indicating omitted text. Individual and/or combinations of discrete keyword, key-phrase, n-gram, sentence, noun phrase and sentence constituent based summaries are dynamically displayed to provide an overview of topic and subtopic development within a text.
    Type: Grant
    Filed: December 16, 2002
    Date of Patent: May 20, 2008
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Francine R. Chen, Thorsten H. Brants, Annie E. Zaenen
  • Patent number: 7188117
    Abstract: Systems and methods for determining the authoritativeness of a document based on textual, non-topical cues. The authoritativeness of a document is determined by evaluating a set of document content features contained within each document to determine a set of document content feature values, processing the set of document content feature values through a trained document textual authority model, and determining a textual authoritativeness value and/or textual authority class for each document evaluated using the predictive models included in the trained document textual authority model. Estimates of a document's textual authoritativeness value and/or textual authority class can be used to re-rank documents previously retrieved by a search, to expand and improve document query searches, to provide a more complete and robust determination of a document's authoritativeness, and to improve the aggregation of rank-ordered lists with numerically-ordered lists.
    Type: Grant
    Filed: September 3, 2002
    Date of Patent: March 6, 2007
    Assignee: Xerox Corporation
    Inventors: Ayman O. Farahat, Francine R. Chen, Charles R. Mathis, Geoffrey D. Nunberg
  • Patent number: 7167871
    Abstract: Systems and methods for determining the authoritativeness of a document based on textual, non-topical cues. The authoritativeness of a document is determined by evaluating a set of document content features contained within each document to determine a set of document content feature values, processing the set of document content feature values through a trained document textual authority model, and determining a textual authoritativeness value and/or textual authority class for each document evaluated using the predictive models included in the trained document textual authority model. Estimates of a document's textual authoritativeness value and/or textual authority class can be used to re-rank documents previously retrieved by a search, to expand and improve document query searches, to provide a more complete and robust determination of a document's authoritativeness, and to improve the aggregation of rank-ordered lists with numerically-ordered lists.
    Type: Grant
    Filed: September 3, 2002
    Date of Patent: January 23, 2007
    Assignee: Xerox Corporation
    Inventors: Ayman O. Farahat, Francine R. Chen, Charles R. Mathis, Geoffrey D. Nunberg
  • Patent number: 7162522
    Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.
    Type: Grant
    Filed: November 2, 2001
    Date of Patent: January 9, 2007
    Assignee: Xerox Corporation
    Inventors: Eytan Adar, Lada A. Adamic, Francine R. Chen