Patents by Inventor Laurent Itti

Laurent Itti 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: 8808195
    Abstract: This invention provides methods, system, and apparatus for assessing and/or diagnosing a neurobehavioural disorder in a subject. The methods, systems, and apparatus include the subject freely observing a visual scene, without having to carry out a task or follow specific instructions. In one embodiment, a computational model is used to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature. A subject's eye movements are recorded while the subject freely observes the visual scene, and a difference between second map values that correspond to the subject's eye movement endpoints and a set of map values selected randomly from the first map values is quantified, wherein the difference is indicative of a neurobehavioural disorder in the subject.
    Type: Grant
    Filed: January 15, 2010
    Date of Patent: August 19, 2014
    Inventors: Po-He Tseng, Ian G. M. Cameron, Douglas P. Munoz, Laurent Itti
  • Patent number: 8515131
    Abstract: Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.
    Type: Grant
    Filed: December 13, 2011
    Date of Patent: August 20, 2013
    Assignee: California Institute of Technology
    Inventors: Christof Koch, Laurent Itti
  • Publication number: 20130131985
    Abstract: The system comprises a wearable, electronic image acquisition and processing system (or visual enhancement system) to guide visually impaired individuals through their environment, providing information to the user about nearby objects of interest, potentially dangerous obstacles, their location, and potential paths to their destination.
    Type: Application
    Filed: April 11, 2012
    Publication date: May 23, 2013
    Inventors: James D. Weiland, Mark S. Humayan, Gerard Medioni, Armand R. Tanguay, JR., Vivek Pradeep, Laurent Itti
  • Publication number: 20120106850
    Abstract: Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.
    Type: Application
    Filed: December 13, 2011
    Publication date: May 3, 2012
    Inventors: Christof KOCH, Laurent ITTI
  • Patent number: 8098886
    Abstract: Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.
    Type: Grant
    Filed: May 8, 2006
    Date of Patent: January 17, 2012
    Assignee: California Institute of Technology
    Inventors: Christof Koch, Laurent Itti
  • Publication number: 20100208205
    Abstract: This invention provides methods, system, and apparatus for assessing and/or diagnosing a neurobehavioural disorder in a subject. The methods, systems, and apparatus include the subject freely observing a visual scene, without having to carry out a task or follow specific instructions. In one embodiment, a computational model is used to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature. A subject's eye movements are recorded while the subject freely observes the visual scene, and a difference between second map values that correspond to the subject's eye movement endpoints and a set of map values selected randomly from the first map values is quantified, wherein the difference is indicative of a neurobehavioural disorder in the subject.
    Type: Application
    Filed: January 15, 2010
    Publication date: August 19, 2010
    Inventors: Po-He Tseng, Ian G. M. Cameron, Douglas P. Munoz, Laurent Itti
  • Publication number: 20060215922
    Abstract: Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.
    Type: Application
    Filed: May 8, 2006
    Publication date: September 28, 2006
    Inventors: Christof Koch, Laurent Itti
  • Publication number: 20020154833
    Abstract: Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.
    Type: Application
    Filed: July 23, 2001
    Publication date: October 24, 2002
    Inventors: Christof Koch, Laurent Itti
  • Patent number: 6195409
    Abstract: The system and method for automatic scan prescription involves initially performing at least one localizer scan for the object being imaged. The localizer images are analyzed to extract important structural information about the object of interest, and of subobjects of interest, yielding an abstract, schematic description of the object of interest. Optimal spatial locations and scanning parameters are then determined for subsequent scans from the information about the object, possible subobjects, and their relationship to a template. The locations for a particular scan included in a set of protocols selected by the operator are then communicated to the scanner in order to automatically drive the scanner. In a presently preferred embodiment, all of the analysis, matching, and scan prescription operations are preferably carried out by a microprocessor based microcomputer. Subsequent detailed and radiologically relevant scans can then be performed using optimal scanning parameters for the patient.
    Type: Grant
    Filed: March 19, 1999
    Date of Patent: February 27, 2001
    Assignee: Harbor-UCLA Research and Education Institute
    Inventors: Linda Chang, Thomas M. Ernst, Laurent Itti