Abstract: A query device part image and an assembly drawing image from a drawing database which is a search target are input. The assembly drawing image is classified into text and non-text areas in the layout analysis unit 10. In the device part extraction unit 11, part images are extracted from non-text areas. The device part comparison unit 12 collates the extracted part image and the query device part image.

Abstract: A method of assisting analysis of a production process assisting work for analyzing the relationship between quality factors and characteristic of a product and a program product and a recording medium for the same, comprising receiving a designation of a factor from a user at a computer, arranging images corresponding to said image data related to the received factor in a virtual space in a display device connected to the computer (S13), displaying the virtual space in which the images are arranged in the display device (S14), repeating the designation reception, arrangement, and display until the user judges that there is similarity between adjoining images in the displayed images, receiving designation of at least one image by the user from images having similarity between adjoining images (S15), automatically extracting common factors among factors of the designated image (S16), receiving a hypothesis of a relationship between the common factors designated by the user and quality of products, and verifyin

Abstract: A knowledge discovery device analyzes a relation between a feature value of an image and attribute data, and discovers a knowledge on the relation. The knowledge discovery device includes a feature-value extraction unit that extracts, as a feature value, each degree of changes in luminance of frequency components at each position on the image, from image data, a relation analysis unit that analyzes a relation between the feature value and attribute data, and a rule generation unit that generates an association rule using content of the feature value having a correlation value not more than a predetermined correlation value and content of the attribute data.

Abstract: A method of assisting analysis of a production process assisting work for analyzing the relationship between quality factors and characteristic of a product and a program product and a recording medium for the same, comprising receiving a designation of a factor from a user at a computer, arranging images corresponding to said image data related to the received factor in a virtual space in a display device connected to the computer (S13), displaying the virtual space in which the images are arranged in the display device (S14), repeating the designation reception, arrangement, and display until the user judges that there is similarity between adjoining images in the displayed images, receiving designation of at least one image by the user from images having similarity between adjoining images (S15), automatically extracting common factors among factors of the designated image (S16), receiving a hypothesis of a relationship between the common factors designated by the user and quality of products, and verifyin

Abstract: An image retrieval apparatus includes an extracting unit that extracts a plurality of feature values from a key image, a determining unit that determines presence or absence of similarity based on whether the similarity fitted to the human's feeling regarding the similarity is calculated for the type of each feature, a calculating unit that calculates a similarity between the key image and each of a plurality of target images based on a result of determination obtained by the determining unit, and an selecting and outputting unit that selects and outputs image data that matches with the similarity calculated by the calculating unit.

Abstract: After thinning an input image (drawing), a primitive is extracted. First, a rough primitive is extracted, and then the rough primitive becomes a primitive in a merge-split process according to a greedy strategy. Based on the primitive and the spatial correlation among primitives, an attribute graph describing the contents and the structure of the drawing is generated. The attribute graph is generated using a modified Delaunay triangle and an attribute set. An attribute graph having an attribute set is generated for each of an inquiry drawing and a comparison drawing which are compared with each other, thereby perform drawing comparison.

Abstract: A target object appearing position display apparatus is constructed to include an object detecting part for detecting one or a plurality of specified target objects with respect to each frame of a movie, a position data holding part for holding position data of each target object that is detected, an appearing frequency computing part for computing an appearing frequency of each target object for each position, and an intensity display part for displaying an appearing frequency of each target object by an intensity value of a corresponding pixel.

Abstract: An information navigation system for supporting browsing of data which are linked mutually includes an starting point determination supporter, a browsing supporter, and a positioning supporter. The starting point determination supporter supports detection of first data being a starting point for an information navigation. The browsing supporter displays the first data and second data linked to the first data as in a virtual space, to allow a user to select data to be browsed next. The positioning supporter displays a current browsing position on a map which indicates a relation between all data.

Abstract: A plurality of thumbnails to be used as retrieval keys are indicated by a retrieving key indicating section. Respective feature vector of the retrieval keys are extracted by a feature vector extracting section. A retrieval feature vector selecting section selects, among elements of feature vector of each retrieval key, a prescribed number of elements in a distance average ascending order as retrieval feature vector. A retrieving section retrieves information stored in an information storing section by using the retrieval feature vector. An arrangement feature vector selecting section selects, as arrangement feature vector, among elements of feature vector of the retrieval key, the feature vector elements that have not been extracted as the elements of retrieval feature vector. Elements of feature vector selected in a dispersion descending order in the retrieval results are preferable.

Abstract: When a user designates drawing information to be searched, a component drawing region is extracted from each piece of drawing information, and an icon that highlights a line drawing in the extracted region is generated. Then, an icon is arranged in a virtual space based on the feature amount of the corresponding drawing information, and displayed on a screen.

Abstract: A data retrieving part searches a database for data under the conditions for a search input by a user through a search condition input part. A classifying and arranging part classifies and arranges data (search results) using feature values. A ground information providing part provides each data with ground information visualizing the ground for classification and arrangement of the data. The ground information is, for example, visualized distribution information of feature values of the data, color histogram label information, and label information on wavelet conversion feature values. A display part displays each data together with corresponding ground information, in accordance with the information on classification and arrangement from the classifying and arranging part.

Abstract: A plurality of thumbnails to be used as retrieval keys are indicated by a retrieving key indicating section. Respective feature vector of the retrieval keys are extracted by a feature vector extracting section. A retrieval feature vector selecting section selects, among elements of feature vector of each retrieval key, a prescribed number of elements in a distance average ascending order as retrieval feature vector. A retrieving section retrieves information stored in an information storing section by using the retrieval feature vector. An arrangement feature vector selecting section selects, as arrangement feature vector, among elements of feature vector of the retrieval key, the feature vector elements that have not been extracted as the elements of retrieval feature vector. Elements of feature vector selected in a dispersion descending order in the retrieval results are preferable.

Abstract: An article picture is previously obtained through an information obtaining part, and a data sending rank setting part sets a sending rank showing a sending priority. A picture feature analyzing part extracts picture features and stores article data in an article data storing part. When search conditions are input, an article search processing part conducts a search. Search results are given to an article picture arrangement data generating part, and article picture arrangement data is given to a data sending control part. Under the control of a sending order by the data sending control part, each article picture data is sent to a user terminal in accordance with a sending rank, and displayed at an arrangement position on a screen of search results in accordance with the sending rank.

Abstract: Video contents distributed by digital broadcasting are obtained and divided into video contents segments on a channel basis, a program basis, or a predetermined time basis. A collection of ions corresponding to the respective video contents segments can be displayed in accordance with a particular viewpoint when it is arranged in the position of the classification and arrangement results. The classification and arrangement are calculated according to the feature value of each video contents segment. Icons corresponding to the video contents segments are re-created by newly setting a division basis arbitrarily, the feature values of the video contents segments on the newly set division basis are extracted, and icons corresponding to video contents segments are rearranged for display.