Abstract: A system for and a method of analyzing a corneal lesion using an anterior segment image according to the present invention. The system includes: an image acquisition unit configured to acquire an anterior segment image from the eyeball of a subject, a feature extractor configured to extract feature information on a position and a cause of a lesion in the cornea from the anterior segment image by applying a convolution layer to the anterior segment image through machine learning on the basis of a database in which clinical information pre-acquired by analyzing positions and causes of lesions in the corneas of subjects is stored; and a result determination unit configured to identify a position of the cornea from the anterior segment image using the feature information and to analyze and determine the position and the cause of the lesion in the cornea from the position of the cornea.

Abstract: A medical imaging apparatus includes a scanner configured to acquire projection data of an object in a plurality of directions, and a data processor configured to generate a volume of interest based on the projection data, generate a two-dimensional (2D) reprojection image by reprojecting the volume of interest in at least one direction, and extract feature information from the 2D reprojection image.

Abstract: Methods and systems are provided for sharing a digital image depicting one or more faces. The method may include linking a plurality of computer terminals to a computer network, each computer terminal associated with an individual; receiving a digital image at at least one of the computer terminals; executing a face recognition routine on the digital image, the face recognition routine detecting at least one face in the digital image, each detected face corresponding to a person, the face recognition routine recognizing at least one of the persons as being one of the individuals; and for each individual recognized in the digital image by the face recognition routine, initiating dissemination of the digital image to the computer terminal associated with respective individual whose face is recognized in the digital image.

Abstract: Methods and systems are provided for sharing a digital image depicting one or more faces. The method may include linking a plurality of computer terminals to a computer network, each computer terminal associated with an individual; receiving a digital image at at least one of the computer terminals; executing a face recognition routine on the digital image, the face recognition routine detecting at least one face in the digital image, each detected face corresponding to a person, the face recognition routine recognizing at least one of the persons as being one of the individuals; and for each individual recognized in the digital image by the face recognition routine, initiating dissemination of the digital image to the computer terminal associated with respective individual whose face is recognized in the digital image.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: A method of and apparatus for changing lesion classification data, the method including determining whether at least one mass is included in an image of an object, determining whether the at least one mass corresponds to a lesion by using first data including at least one first information, selecting a false negative (FN) mass which has been determined as not corresponding to the lesion among the at least one mass, based on a first input, and changing the first data to second data by using second information of the selected FN mass.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: Disclosed is a method for intelligently displaying a sports game video for a multimedia mobile terminal, the method including the steps of: determining if a camera shot existing in the sports game video is a long-shot; when the camera shot is determined as a long-shot, determining a ROI within an image frame of the sports game video; and when the camera shot is determined as a non-long-shot, displaying the image frame on the mobile terminal, and, when the camera shot is determined as a long-shot, enlarging and displaying the ROI on the mobile terminal.

Abstract: Methods and systems are provided for sharing a digital image depicting one or more faces. The method may include linking a plurality of computer terminals to a computer network, each computer terminal associated with an individual; receiving a digital image at at least one of the computer terminals; executing a face recognition routine on the digital image, the face recognition routine detecting at least one face in the digital image, each detected face corresponding to a person, the face recognition routine recognizing at least one of the persons as being one of the individuals; and for each individual recognized in the digital image by the face recognition routine, initiating dissemination of the digital image to the computer terminal associated with respective individual whose face is recognized in the digital image.

Abstract: An apparatus for estimating a malignant tumor includes: a segmentor configured to segment a first medical image of an object into a first ROI including a mass and a second medical image of the object into a second ROI including a mass; an interest region determiner configured to acquire a first matched ROI and a second matched ROI, which is matched to the first matched ROI based on location information of the first ROI and the second ROI, respectively; a feature extractor configured to extract a similar feature indicating a degree of similarity between the first matched ROI and the second matched ROI, from the first matched ROI and the second matched ROI; and a classifier configured to generate malignant tumor information indicating whether the mass included in the first matched ROI and the second matched ROI is the malignant tumor, based on the extracted similar feature.

Abstract: A medical imaging apparatus includes a scanner configured to acquire projection data of an object in a plurality of directions, and a data processor configured to generate a volume of interest based on the projection data, generate a two-dimensional (2D) reprojection image by reprojecting the volume of interest in at least one direction, and extract feature information from the 2D reprojection image.

Abstract: Methods and systems are provided for sharing a digital image depicting one or more faces. The method may include linking a plurality of computer terminals to a computer network, each computer terminal associated with an individual; receiving a digital image at at least one of the computer terminals; executing a face recognition routine on the digital image, the face recognition routine detecting at least one face in the digital image, each detected face corresponding to a person, the face recognition routine recognizing at least one of the persons as being one of the individuals; and for each individual recognized in the digital image by the face recognition routine, initiating dissemination of the digital image to the computer terminal associated with respective individual whose face is recognized in the digital image.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: A method of and apparatus for changing lesion classification data, the method including determining whether at least one mass is included in an image of an object, determining whether the at least one mass corresponds to a lesion by using first data including at least one first information, selecting a false negative (FN) mass which has been determined as not corresponding to the lesion among the at least one mass, based on a first input, and changing the first data to second data by using second information of the selected FN mass.

Abstract: A multiple ROI (region of interest) setting method and apparatus in scalable video coding and an ROI reconstructing method and apparatus are provided. The multiple ROI setting apparatus includes: an ROI setting unit which sets at least one or more ROIs and allocates ROI identification numbers to the each of ROIs; a mapping unit which allocates at least one or more slice group identification numbers to the at least one or more ROI identification numbers; and a message generating unit which generates a message including ROI-associated information, slice-group-associated information, mapping information on mapping of the ROI identification number to the at least one or more slice group identification numbers, and scalability information.

Abstract: An apparatus for estimating a malignant tumor includes: a segmentor configured to segment a first medical image of an object into a first ROI including a mass and a second medical image of the object into a second ROI including a mass; an interest region determiner configured to acquire a first matched ROI and a second matched ROI, which is matched to the first matched ROI based on location information of the first ROI and the second ROI, respectively; a feature extractor configured to extract a similar feature indicating a degree of similarity between the first matched ROI and the second matched ROI, from the first matched ROI and the second matched ROI; and a classifier configured to generate malignant tumor information indicating whether the mass included in the first matched ROI and the second matched ROI is the malignant tumor, based on the extracted similar feature.

Abstract: The present invention solves the problem of automatically recognizing multiple known faces in photos or videos on a local computer storage device (on a home computer). It further allows for sophisticated organization and presentation of the photos or videos based on the graphical selection of known faces (by selecting thumbnail images of people). It also solves the problem of sharing or distributing photos or videos in an automated fashion between ‘friends’ who are also using the same software that enables the invention. It further solves the problem of allowing a user of the invention to review the results of the automatic face detection, eye detection, and face recognition methods and to correct any errors resulting from the automated process.

Abstract: A multiple ROI (region of interest) setting method and apparatus in scalable video coding and an ROI reconstructing method and apparatus are provided. The multiple ROI setting apparatus includes: an ROI setting unit which sets at least one or more ROIs and allocates ROI identification numbers to the each of ROIs; a mapping unit which allocates at least one or more slice group identification numbers to the at least one or more ROI identification numbers; and a message generating unit which generates a message including ROI-associated information, slice-group-associated information, mapping information on mapping of the ROI identification number to the at least one or more slice group identification numbers, and scalability information.