Patent application number | Description | Published |
20080221788 | Map generation apparatus, map generation method and computer readable medium - A map generation apparatus includes an acquisition unit, a classification unit, a tentative map generation unit and a map generation unit. The acquisition unit acquires information which is a target of an analysis process. The classification unit classifies the acquired information into a plurality of types. The tentative map generation unit selects the types provided by the classifying one by one as a type in question to generate tentative map information of the information belonging to the type in question, based on (i) the information belonging to the type in question and (ii) representative information that represents at least one type other than the type in question. The map generation unit generates a map image based on the tentative map information generated for the respective types. | 09-11-2008 |
20090164461 | RELEVANT ELEMENT SEARCHING APPARATUS AND COMPUTER READABLE MEDIUM - A relevant element searching apparatus includes: an acquiring unit that obtains a plurality of data elements; a first producing unit that produces characteristic amount data of each of the data elements; a first classifying unit that classifies the data elements into one or more clusters on the basis of the characteristic amount data produced by the first producing unit; a selecting unit that selects a cluster from the one or more clusters; a second producing unit that, on the basis of data elements belonging to the selected cluster, produces characteristic amount data of each of the data elements; a second classifying unit that classifies the data elements belonging to the cluster into clusters on the basis of the characteristic amount data; and a searching unit that searches at least one of data elements which are classified into a same cluster as the designated data element. | 06-25-2009 |
20100014756 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, COMPUTER-READABLE MEDIUM AND COMPUTER DATA SIGNAL - An image processing apparatus includes a dividing unit, a first extracting unit, a quantizing unit, a generating unit and an image output unit. The dividing unit divides an object image into regions. The first extracting unit extracts image features of the regions generated by the dividing unit. The quantizing unit quantizes the image features extracted by the first extracting unit. The generating unit generates an expected value of an occurrence probability of each topic variable indicating similar images from the image features quantized by the quantizing unit, using a correlation between the image features quantized by the quantizing unit and the topic variables. The image output unit outputs an image of a defective portion in the object image, using the expected values of the occurrence probabilities of the topic variables generated by the generating unit. | 01-21-2010 |
20100076921 | SIMILAR IMAGE PROVIDING DEVICE, METHOD AND PROGRAM STORAGE MEDIUM - There is provided a similar image providing device including: a lesion region extracting unit that extracts a lesion region from a subject diagnostic image; a local image feature extracting unit that extracts local image features; a quantizing unit that quantizes the local image features; a lesion classifying unit that classifies a lesion; a storing unit storing correlation coefficients between local image features and topic variables expressing degrees of progression or degrees of seriousness of lesions; an expected value estimating unit that acquires expected values of probabilities of occurrence of topic variables; an image storing unit that stores diagnostic images and the expected values; and a providing unit that provides diagnostic images corresponding to expected values of topic probabilities of occurrence that best approximate the expected values of the topic probabilities of occurrence. | 03-25-2010 |
20120039527 | COMPUTER-READABLE MEDIUM STORING LEARNING-MODEL GENERATING PROGRAM, COMPUTER-READABLE MEDIUM STORING IMAGE-IDENTIFICATION-INFORMATION ADDING PROGRAM, LEARNING-MODEL GENERATING APPARATUS, IMAGE-IDENTIFICATION-INFORMATION ADDING APPARATUS, AND IMAGE-IDENTIFICATION-INFORMATION ADDING METHOD - A computer-readable medium storing a learning-model generating program causing a computer to execute a process is provided. The process includes: extracting feature values from an image for learning that is an image whose identification information items are already known, the identification information items representing the content of the image; generating learning models by using binary classifiers, the learning models being models for classifying the feature values and associating the identification information items and the feature values with each other; and optimizing the learning models for each of the identification information items by using a formula to obtain conditional probabilities, the formula being approximated with a sigmoid function, and optimizing parameters of the sigmoid function so that the estimation accuracy of the identification information items is increased. | 02-16-2012 |
20120039541 | COMPUTER READABLE MEDIUM STORING PROGRAM, IMAGE IDENTIFICATION INFORMATION ADDING APPARATUS, AND IMAGE IDENTIFICATION INFORMATION ADDING METHOD - A computer readable medium storing a program causing a computer to execute a process for adding image identification information is provided. The process includes: calculating first feature vectors for partial regions selected from a target image to be processed; and adding a piece of first identification information indicating content of the target image to the target image using a group of decision trees that are generated in advance on the basis of second feature vectors calculated for partial regions of a learning image and a piece of second identification information added to the entire learning image. | 02-16-2012 |
20120201464 | COMPUTER READABLE MEDIUM, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD - A computer readable medium stores a program causing a computer to execute a process for image processing. The process includes: calculating, on the basis of image feature information of a plurality of image areas each set with a classification information item, a probability distribution of the image feature information for each classification information item; acquiring a target image; calculating an evaluation value of each of pixels included in the target image relating to a specified classification information item, on the basis of the image feature information of an image area including the pixel and the probability distribution of the image feature information calculated for the specified classification information item; and extracting, from the target image, an image area relating to the specified classification information item, on the basis of the evaluation value calculated for each of the pixels included in the target image. | 08-09-2012 |
20140025682 | NON-TRANSITORY COMPUTER-READABLE MEDIUM, INFORMATION CLASSIFICATION METHOD, AND INFORMATION PROCESSING APPARATUS - There is provided a non-transitory computer-readable medium storing a program causing a computer to execute a process. The process includes: acquiring posted information items, each of the posted information items including at least either of a text information item and an image information item; generating text information items including text items in such a manner that image information items are removed from the posted information items, and classifying the text items into first categories; generating image information items including images in such a manner that text information items are removed from the posted information items, and classifying the images into second categories; associating the classified text items and the classified images with each other on the basis of the first and second categories to obtain results; and outputting the text items and the images for each of the results. | 01-23-2014 |
20140198980 | IMAGE IDENTIFICATION APPARATUS, IMAGE IDENTIFICATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An image identification apparatus includes following components. A first generative model creation unit extracts feature information from identification-target images which belong to an identification-target category, and creates a first generative model on the basis of the feature information. A classification unit applies the first generative model to each not-identification-target image which belongs to a not-identification-target category so as to determine a probability of the not-identification-target image belonging to the identification-target category, and classifies the not-identification-target image to a corresponding one of not-identification-target groups in accordance with the probability. A second generative model creation unit that extracts feature information from not-identification-target images which belong to a corresponding one of the not-identification-target groups, and creates a second generative model of each not-identification-target group on the basis of the corresponding feature information. | 07-17-2014 |