Abstract: To share program data between a plurality of information providers, between which providers there exists a predetermined association, whereby a program schedule for each of the information providers can be acquired. The program-schedule-generating device stores program data provided by a plurality of information providers. The program-schedule-generating device specifies a subject user, who is an information provider to which program schedule data is to be transmitted, and specifies another information provider having a predetermined association with the user. The predetermined association referred to here is, for example, a condition in which users are members of an identical service (such as an SNS). The program-schedule-generating device extracts the program data provided by the information providers, generates program schedule data based on the program data, and transmits the program schedule data.

Abstract: Provided is a clathrate compound represented by a following chemical formula, for example, BaaGabAlcSid (where 7.77?a?8.16, 7.47?b?15.21, 0.28?c?6.92, 30.35?d?32.80, and a+b+c+d=54), and a thermoelectric material containing the clathrate compound. A producing method of the thermoelectric material is also provided.

Abstract: There is provided an image processing apparatus including a processing unit configured to processes projection data in which X-ray detection data representing a detection result of parallel beam X-rays output from an X-ray source has been converted by projection, and form an X-ray image based on the X-ray detection data.

Abstract: An image processing apparatus and method for generating a wide angle image from received images. Using an image signal of a received image, a scene change detection unit detects scene change of the received images. A movement detection unit detects a movement in each of the received images. A display position determination unit determines a display position of each of the received images based on the movement in each of the received images detected in a period of continuous scene. A wide field angle image generation unit superimposes the received images in said period of said continuous scene, a display position of which has been determined, to generate an image signal of the wide field angle image. A received image slide unit generates image signal wherein the received images are slid to the display positions.

Abstract: An image processing apparatus includes: a database configured to, out of images extracted with a first frequency from the images making up a moving image content, register first layer summary data of a first size; a distance calculation block configured to calculate the distance between the first layer summary data based on the distance between vectors of which the elements are formed by the first layer summary data registered in the database; and a classification section configured to cluster into the same class the first layer summary data between which the distance calculated by the distance calculation block falls within a predetermined distance, the classification section further clustering moving image contents into a plurality of classes based on the classes into which the first layer summary data have been clustered.

Abstract: An image processing apparatus includes a converter converting an interlace image including a first number of pixels into a first progressive image, an interpolator interpolating the first progressive image to generate a second progressive image including a second number of pixels, a classification unit classifying, in accordance with a feature of the second progressive image, into classes, subject pixels forming a third progressive image, which serves as a target image, including the second number of pixels and having a quality higher than the second progressive image, a storage unit storing a prediction coefficient for each of the classes obtained by conducting learning using a plurality of progressive images, each including the second number of pixels, and a computation unit performing computation using the second progressive image and the prediction coefficient for each of the classes to determine the third progressive image from the second progressive image.

Abstract: An image processing apparatus includes an interlace-progressive converter converting an interlace input image into a progressive intermediate image, a motion-vector detector detecting motion vectors of the input image by using a distance shorter than the pixel interval of the intermediate image, a cyclic-coefficient setting unit setting, on the basis of a vertical motion, a first cyclic coefficient for a first type of pixel and a second cyclic coefficient for a second type of pixel, a motion compensator motion-compensating, on the basis of the motion vectors, a past progressive output image to generate a motion-compensated image, and an output image generator generating a progressive output image by adding pixel values of the first type of pixels and the second type of pixels of the progressive intermediate image and the motion-compensated image by using the first cyclic coefficient and the second cyclic coefficient as weights.

Abstract: An image processing apparatus includes: a database configured to, out of images extracted with a first frequency from the images making up a moving image content, register first layer summary data of a first size; a distance calculation block configured to calculate the distance between the first layer summary data based on the distance between vectors of which the elements are formed by the first layer summary data registered in the database; and a classification section configured to cluster into the same class the first layer summary data between which the distance calculated by the distance calculation block falls within a predetermined distance, the classification section further clustering moving image contents into a plurality of classes based on the classes into which the first layer summary data have been clustered.

Abstract: An image processing apparatus includes: a first layer summary data generation section; a second layer summary data generation section; a first search section; and a second search section.

Abstract: Even for the case where a CVD oxide film is interposed at a bonding interface, as a pre-processing of bonding a first wafer and a second wafer, at least the surface roughness of the CVD oxide film of the first wafer is made small after removing organic substances. Therefore, it is possible to prevent void occurrence which is caused by the organic substances existing at and the roughness of the bonding interface of the two wafers.

Abstract: Preferences of each user are more accurately grasped from a playback history of a playback type content such as music and video and advertisement information that reflects preferences per user is served.

Abstract: A class configuration generation unit generates (n?1) number of class configurations each of which is comprised of i number of the already selected features plus a feature selected from the remaining (n?i) number of the features (both of n and i are integers). A class configuration selection unit selects an optimal class configuration from the (n?i) number of the class configurations using an arbitrary evaluation value. The features used in the class configuration selected by the selection unit are used as the already selected features in the generation unit. The operations by the generation unit and the selection unit are repeated with values of i sequentially varying from 0 to r?1, thereby generating a class configuration comprised of r number of the features.

Abstract: An image processing apparatus and method, and a program-recorded recording medium perform detecting features of image information for classes which is input for learning, calculating the degrees of belongingness of the detected features to the classes, weighting pieces of the input image information based on the degrees of belongingness, and calculating prediction coefficients for the classes based on the weighted pieces of the image information.

Abstract: This invention relates to an apparatus for processing an information signal etc. that, when converting, for example, SD signal into HD signal, enables well to be obtained pixel data of HD signal no matter whether the dynamic range DR is large or small. DR in a class tap is detected. If DR?Th, items of pixel data y1-a?y4-a calculated by using item of coefficient data Wi-a corresponding to a class code Ca are estimated as items of pixel data of HD signal. If DR<Th, an addition mean value of items of pixel data y1-a?y4-a, y1-b?y4-b calculated by using items of coefficient data Wi-a, Wi-b corresponding to class codes Ca, Cb is estimated as item of the pixel data of HD signal. The items of coefficient data Wi-a, Wi-b are obtained by learning between a student signal corresponding to the SD signal and a teacher signal corresponding to the HD signal by using a portion of the DR having a value thereof that is not less than the threshold value Th.

Abstract: An inverted pendulum type moving mechanism, enabling to detect a single-wheel idling when it occurs therein, thereby to maintain a standing condition even in case where an idling maintenance time is long, comprises: left and right wheels; a moving mechanism having traveling motors, which rotationally drive those wheels; an upper body, which is supported on the moving mechanism; and a control apparatus, which controls the moving mechanism, wherein the control apparatus comprises an idling detector unit for the wheels and a traction return detector unit, and executes a double-wheels standing travel control when no idling is detected within the idling detector unit, or a loading-wheel standing control when the idling is detected within the idling detector unit, and further the control apparatus executes an idling wheel control is executed upon the idling wheel for urging traction return, and turns back to the loading-wheel standing control when no traction return is detected within the traction return detector u

Abstract: A coefficient-data generating apparatus generates coefficient data of an estimating equation used to convert a first information signal including pieces of information data into a second information signal including pieces of information data. The coefficient-data generating apparatus includes a determining unit determining whether a subject point in a second learning signal corresponding to the second information signal is a feature point having a predetermined feature; a data selector selecting pieces of information data at adjacent points of the subject point in the second learning signal, based on a first learning signal corresponding to the first information signal; and a calculator calculating the coefficient data using information data at the subject point in the second learning signal, the subject point being determined as the feature point by the determining unit, and the pieces of information data selected in association with the subject point by the data selector.

Abstract: Standard Definition signals are divided into blocks at a tap extracting unit, and pixel data contained in each block is extracted as a class tap. A class classification unit obtains class code based on the pixel data contained in the class tap. An auxiliary data generating unit generates auxiliary data regarding conversion into High Definition signals, based on the class tap extracted by the tap extracting unit. A data generation processing unit performs processing based on the class code and the auxiliary data, thereby yielding excellent High Definition signals.

Abstract: A signal processing apparatus includes a generator operable to generate a second image signal by converting a first image signal into the second image signal; a calculation unit operable to calculate a correction amount based on an evaluation of the second image signal relative to the first image signal; and a correction unit operable to correct the second image signal based on the correction amount.

Abstract: A pattern matching section compares reference taps supplied by one area extracting section with a reference tap component of a training pair pre-stored in a training-pair storing section, selects a training pair including a reference tap component having highest similarity to the reference taps, and supplies the selected training pair to a normal-equation generating section. Training pairs stored in the training-pair storing section include a SD signal and HD signal. A prediction-coefficient determining section obtains prediction coefficients by solving normal equations generated by the normal-equation generating section. A prediction calculating section produces a HD signal by applying the prediction coefficients to prediction taps extracted by another area extracting section.

Abstract: A mobile communication network server judges the degree of importance of an information element targeted for synchronization, and transmits a synchronization start notification to a mobile terminal corresponding to the judgment result, and database synchronization is performed between the mobile communication network server and mobile terminal after the synchronization start notification. Alternately, the mobile communication network server determines timing of update of the information element, and transmits a synchronization start notification to the mobile terminal corresponding to the determination, and database synchronization is performed between the mobile communication network server and mobile terminal after the synchronization start notification. Then, the mobile terminal receiving the synchronization start notification performs various kinds of representation corresponding to information about the information element included in the synchronization start notification.