Abstract: A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

Abstract: A method and system for matching an unknown facial image of an individual with an image of an unknown twin using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. The method and system uses human perception techniques to weight the feature vectors.

Abstract: The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals or objects using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar objects or faces to the user The system features classification of images from a variety of Internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, or the matching object, image and associated meta-data is sent back to the user. The image may be manipulated to emphasize similar characteristics between the received facial image and the matching facial image. The meta-data sent down with the image may include sponsored links and advertisements.

Abstract: Provided are techniques for status information saving among multiple computers. In one embodiment, a selected computer is operated using a plurality of input/output devices over switched input/output signal paths passing through a KVM (keyboard video mouse) switch positioned between the selected computer and the plurality of input/output devices. Status data is carried over signal paths passing through the KVM switch wherein the status data represents status information for a plurality of computers connected to the KVM switch. The status data passing through the KVM switch is stored in a memory coupled to the KVM switch. Other embodiments are described and claimed. Other embodiments are contemplated, depending upon the particular application.

Abstract: A method and system for matching an unknown facial image of an individual with an image of an unknown twin using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. The method and system uses human perception techniques to weight the feature vectors.

Abstract: A method, system, and computer program product for implementing virtual keyboard video mouse (KVM) switching functionality using a processing device in communication with a memory device is provided. Keyboard, video, and mouse signals for a first computer are redirected to be carried over a standardized serial bus connecting the first computer to a second computer. Each of the keyboard, video, and mouse signals are carried at predetermined frequencies. The keyboard, video, and mouse signals on the second computer are identified and separated. The keyboard, video, and mouse signals are passed to an operating system on the second computer. The keyboard, video, and mouse signals are used by the operating system to manage the first computer.

Abstract: A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website such as www.facebook.com to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

Abstract: The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals or objects using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar objects or faces to the user The system features classification of images from a variety of Internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, or the matching object, image and associated meta-data is sent back to the user. The image may be manipulated to emphasize similar characteristics between the received facial image and the matching facial image. The meta-data sent down with the image may include sponsored links and advertisements.

Abstract: The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals or objects using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar objects or faces to the user The system features classification of images from a variety of Internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, or the matching object, image and associated meta-data is sent back to the user. The image may be manipulated to emphasize similar characteristics between the received facial image and the matching facial image. The meta-data sent down with the image may include sponsored links and advertisements.

Abstract: A method and system for matching an unknown facial image of an individual with an image of an unknown twin using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. The method and system uses human perception techniques to weight the feature vectors.

Abstract: A method and system for matching an unknown facial image of an individual with an image of an unknown twin using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. The method and system uses human perception techniques to weight the feature vectors.

Abstract: A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

Abstract: An imaging pixel array and associated method and system are disclosed in which the array contains first pixels each having a first photo-conversion device, and second pixels each having a first photo-conversion device and a second photo-conversion device. The first photo-conversion devices are configured to acquire an image during a first integration period. The second photo-conversion devices are configured to acquire a plurality of images during the first integration period. A circuit uses the plurality of image signals and determines from them relative motion between the array and an image during a portion of the first integration period and provides a signal representing the motion which is used for image stabilization.

Abstract: The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals or objects using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar objects or faces to the user The system features classification of images from a variety of Internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, or the matching object, image and associated meta-data is sent back to the user. The image may be manipulated to emphasize similar characteristics between the received facial image and the matching facial image. The meta-data sent down with the image may include sponsored links and advertisements.

Abstract: A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

Abstract: A method and system for of identifying an unknown individual from a digital image is disclosed herein. In one embodiment, the present invention allows an individual to photograph a facial image an unknown individual, transfer that facial image to a server for processing into a feature vector, and then search social networking Web sites to obtain information on the unknown individual. The Web sites comprise www.MySpace.com, www.facebook.com, www.linkedin.com, www.hi5.com, www.bebo.com, www.friendster.com, www.igoogle.com, www.netlog.com, and www.orkut.com. A method of networking is also disclosed. A method for determining unwanted individuals on a social networking website is also disclosed.

Abstract: A grave site protection and marking apparatus comprising two longitudinal frame members and two lateral frame members; wherein each end of the lateral frame member is connected to a longitudinal frame member at one end of the longitudinal frame member, thereby forming a rectangular frame; wherein each longitudinal frame member comprises a top panel and two side panels that are perpendicular to the top panel and that extend downward; and wherein the top panel and side panels of each longitudinal frame member form an anchoring channel that anchors the frame to the ground when the apparatus is installed on a grave site. The frame formed by the longitudinal and lateral frame members lies nearly flush with the ground surface when the frame is installed on the grave site.

Abstract: A method and system for matching an unknown facial image of an individual with an image of an unknown twin using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. The method and system uses human perception techniques to weight the feature vectors.

Abstract: The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals or objects using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar objects or faces to the user. The system features classification of images from a variety of Internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, or the matching object, image and associated meta-data is sent back to the user. The image may be manipulated to emphasize similar characteristics between the received facial image and the matching facial image. The meta-data sent down with the image may include sponsored links and advertisements.

Abstract: The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals or objects using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar objects or faces to the user. The system features classification of images from a variety of Internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, or the matching object, image and associated meta-data is sent back to the user. The image may be manipulated to emphasize similar characteristics between the received facial image and the matching facial image. The meta-data sent down with the image may include sponsored links and advertisements.