Abstract: A display controller device includes: a display data storage unit configured to store therein a plurality of display images; an operation unit configured to accept a page change operation for changing the display images; a page turning processing unit configured to update the display images; a working unit configured to update the display data storage unit by changing a display image to be displayed on a second display area to a second display image produced on the basis of a first display image updated by the page turning processing unit and stored in the display data storage unit; and a display instruction unit configured to refer to the display data storage unit so as to display individually the display images individually stored in relation to the plural display areas on the respective plural display areas of the display unit.

Abstract: A display controller device includes: a display data storage unit configured to store therein a plurality of display images; an operation unit configured to accept a page change operation for changing the display images; a page turning processing unit configured to update the display images; a working unit configured to update the display data storage unit by changing a display image to be displayed on a second display area to a second display image produced on the basis of a first display image updated by the page turning processing unit and stored in the display data storage unit; and a display instruction unit configured to refer to the display data storage unit so as to display individually the display images individually stored in relation to the plural display areas on the respective plural display areas of the display unit.

Abstract: An information processing apparatus configured to control authority, the apparatus including a log-in-sequence storage configured to store a log-in ID used to log in the apparatus and a search user ID that is searched for when the apparatus is logged in using the log-in ID in association with each other; a log-in processor configured to accept a log-in ID, and if a search user ID associated with the log-in ID is present in the log-in-sequence storage, to receive the search user ID from an authentication device in the vicinity of the information processing apparatus; and an operation-state reproducer configured to output the screen of an operation state corresponding to the log-in ID received by the log-in processor and the received search user ID with reference to a cooperation-history information table in which log-in IDs and search user IDs are recorded in association with operation states.

Abstract: An action support apparatus displays a destination specification screen for specifying a destination, and receives from the user a specification of a general destination. If a general destination is specified, then the apparatus determines a detailed destination, referencing a knowledge DB. If there is a plurality of detailed destinations with respect to the general destination, then any one of them is set to the user's destination. Next, the apparatus sets the current location as the starting point, and generates a planned route from the starting point to the destination based on a map DB and an internal clock. Furthermore, the apparatus reads a filtering rule from a filtering DB, and extracts as recommended information facility information of facilities suited to the user from a facility information DB. Depending on the filtering rule, it is also acceptable to use user information in a user DB in the extraction of the recommended information.

Abstract: A window picture (robust window picture) is selected as a model window picture, which is unlikely to be influenced by the variations in an environment and selected irrespective of the variations in an environment of pictures assumed to be inputted in a recognition phase. Alternatively, a window picture (stable window picture) is selected as a model window picture, in which the changes in a feature value are small even though an environment is varied. For example, a tracking window picture group is obtained from a registered picture group in which an environment is continuously varied, by tracking window pictures of a basic registered picture. Then, a static extraction window picture is obtained by extracting window pictures as independent pictures from a series of pictures. Then, a window picture selected both in the tracking window picture group and in the static extraction window picture is set as a robust window picture, and picture matching is conducted using the robust window picture.

Abstract: A multimedia information arranging apparatus that utilizes various feature values contained in multimedia information, carries out a flexible retrieval and classification and displays the information in an information set arrangement space is provided. An information set obtaining portion 10 obtains information sets. An axis setting portion 20 assigns the feature value of the media information to an information set arrangement space axis so as to set the information set arrangement space. A feature value extracting portion 30 extracts the feature value from each of the media information of the obtained information set, and an information set arranging portion 40 arranges the information sets in the information set arrangement space according to their feature values. An information displaying portion 50 displays the information set arrangement space in such a manner as to be seen from a predetermined display viewpoint.

Abstract: An action support apparatus displays a destination specification screen for specifying a destination, and receives from the user a specification of a general destination. If a general destination is specified, then the apparatus determines a detailed destination, referencing a knowledge DB. If there is a plurality of detailed destinations with respect to the general destination, then any one of them is set to the user's destination. Next, the apparatus sets the current location as the starting point, and generates a planned route from the starting point to the destination based on a map DB and an internal clock. Furthermore, the apparatus reads a filtering rule from a filtering DB, and extracts as recommended information facility information of facilities suited to the user from a facility information DB. Depending on the filtering rule, it is also acceptable to use user information in a user DB in the extraction of the recommended information.

Abstract: The variations in appearance of an object caused by the variations in a capturing environment are estimated to be modeled, and the object model thus obtained is previously registered in a database. Picture information of an object to be a recognition target is input, and the input picture information is matched with the previously registered object model. The similarity with respect to the registered object model is determined, and the type of the object to be a recognition target is output, which is determined to be most similar among the registered object models. Information of a plurality of pictures captured by changing the relative position and posture of an object is input, and the variations in appearance of an object caused by the possible variations in a capturing environment are estimated to be modeled based on the input information of a plurality of pictures.

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: A database search system for searching a database for data measures an input number of search conditions input during a period from a start to an end of search processing or a necessary time taken from the start to the end of the search processing, receives an input of a message describing know-how information corresponding to contents of the search processing from a user, in a case where the measured input number exceeds a predetermined threshold value, and stores the input message under a condition that the input message is associated with a predetermined search condition during an execution period of the search processing. During execution of the search processing, the search conditions input by the user are compared with stored search conditions every time the search conditions are received, and in a case where a plurality of or more search conditions are matched with each other, the associated message is output to the user.

Abstract: A biometrics authentication method includes: conducting authentication of a user by a method other than biometrics authentication; registering and storing biometrics data regarding a user; determining whether or not biometrics authentication can be conducted by referring to stored biometrics data; conducting biometrics authentication; and outputting an authentication result as to whether the user is authenticated, wherein biometrics data on the user is registered and stored only in the case where the user is authenticated by the method other than the biometrics authentication, and biometrics authentication is conducted only in the case where it is determined that biometrics authentication can be conducted.

Abstract: A user authentication system that uses plural pieces of biometric information and secures a high security level is provided. Each biometric information and a combination of kinds of the biometric information are called combined biometric information. At the time of registration, plural kinds of user's biometric information are obtained via a biometric information input portion 10. A combined biometric information authentication strength calculating portion 30 calculates an authentication strength for each combined biometric information, wherein the authentication strength indicates how easy the user's biometric information is distinguished from evaluation biometric information in an evaluation biometric information storing portion 20.

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: A multimedia information arranging apparatus that utilizes various feature values contained in multimedia information, carries out a flexible retrieval and classification and displays the information in an information set arrangement space is provided.

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.

Abstract: A window picture (robust window picture) is selected as a model window picture, which is unlikely to be influenced by the variations in an environment and selected irrespective of the variations in an environment of pictures assumed to be inputted in a recognition phase. Alternatively, a window picture (stable window picture) is selected as a model window picture, in which the changes in a feature value are small even though an environment is varied. For example, a tracking window picture group is obtained from a registered picture group in which an environment is continuously varied, by tracking window pictures of a basic registered picture. Then, a static extraction window picture is obtained by extracting window pictures as independent pictures from a series of pictures. Then, a window picture selected both in the tracking window picture group and in the static extraction window picture is set as a robust window picture, and picture matching is conducted using the robust window picture.

Abstract: The variations in appearance of an object caused by the variations in a capturing environment are estimated to be modeled, and the object model thus obtained is previously registered in a database. Picture information of an object to be a recognition target is input, and the input picture information is matched with the previously registered object model. The similarity with respect to the registered object model is determined, and the type of the object to be a recognition target is output, which is determined to be most similar among the registered object models. Information of a plurality of pictures captured by changing the relative position and posture of an object is input, and the variations in appearance of an object caused by the possible variations in a capturing environment are estimated to be modeled based on the input information of a plurality of pictures.