Laurent R Itti

8098886, Jan 17, 2012

May 8, 2006

11/430684

Christof Koch - Pasadena CA, US
Laurent Itti - Redondo Beach CA, US

California Institute of Technology - Pasadena CA

G06K 9/00

382103

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.

8515131, Aug 20, 2013

Dec 13, 2011

13/324352

Christof Koch - Seattle WA, US
Laurent Itti - Los Angeles CA, US

California Institute of Technology - Pasadena CA

G06K 9/00

382103

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.

20020154833, Oct 24, 2002

Jul 23, 2001

09/912225

Christof Koch - Pasadena CA, US
Laurent Itti - Redondo Beach CA, US

G06K009/00

382/325000

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.

20100208205, Aug 19, 2010

Jan 15, 2010

12/656109

Ian G. M. Cameron - Kingston, CA
Douglas P. Munoz - Kingston, CA
Laurent Itti - Los Angeles CA, US

A61B 3/113

351209, 351246

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. Neurobehavioural disorders such as Parkinson's disease, Alzheimer's disease, Huntington's disease, fetal alcohol spectrum disorder, attention deficit hyperactivity disorder, schizophrenia, autism, Tourette syndrome, and progressive supranuclear palsy may be assessed and/or diagnosed.

20130131985, May 23, 2013

Apr 11, 2012

13/444839

James D. Weiland - VALENCIA CA, US
Mark S. Humayan - Glendale CA, US
Gerard Medioni - Los Angeles CA, US
Vivek Pradeep - Snohomish WA, US
Laurent Itti - Los angeles CA, US

G01C 21/20
G08B 3/00
G08B 6/00

701516, 340 412

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.

61954098, Feb 27, 2001

Mar 19, 1999

9/272436

Linda Chang - Redondo Beach CA
Thomas M. Ernst - Redondo Beach CA
Laurent Itti - Pasadena CA

Harbor-UCLA Research and Education Institute - Torrance CA

A61B 603

378 20

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.