Abstract: A user agent stores user information of a user and user information provided to a service provider server. When a user terminal registers the user in the service provider server, the user agent sends the user information already provided to the service provider server to the user terminal. When the user agent receives a provision permission of the user information from the user terminal, the user agent generates pseudo user identification information, a public key, and a private key, signs a service document of the service provider server, and sends the service document to the service provider server via the user terminal. When the signed service document is received, the user agent verifies the signature and sends user information to the service provider server.

Abstract: An information processing apparatus includes a first classification unit configured to set each of pixels forming a first image as a pixel of interest and classify the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule; a feature amount generation unit configured to generate a shifted waveform whose phase is shifted with respect to a waveform of the first image containing the pixels of interest and configured to generate a feature amount; a second classification unit configured to be provided with a plurality of classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type and configured to classify the pixels of interest; and a prediction calculation unit configured to predictively calculate pixels forming a second image.

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 device, to convert a first image data into a second image data having a higher image quality, includes: a predicted tap extracting unit to extract multiple pixels as a predicted tap for prediction computing; a level limit class tap extracting unit to extract multiple pixels as a level limit class tap for level limit classifying processing; a waveform class tap extracting unit to extract multiple pixels as a waveform class tap; a level limit classifying unit to classify the pixel of interest, based on a ratio between a level width and a dynamic range of the pixels making up the level limit class tap; a waveform pattern classifying unit to classify the pixel of interest; a prediction coefficient output unit to output a prediction coefficient corresponding to a combination of a level limit class and a waveform pattern class; and a prediction computing unit.

Abstract: A signal processing device controls a plurality of signal processing units that process an input signal inputted via a signal line with wide bandwidth, via a control line with narrow bandwidth or the signal line, and includes: a storing unit configured to store correspondence information that associates instruction information indicating an instruction of control with respect to each of the signal processing units, with control information related to all of the plurality of signal processing units, among pieces of control information necessary for each of the signal processing units to execute content of control; and a transmitting unit configured to transmit the control information associated with the instruction information by the correspondence information, to the plurality of signal processing units via the signal line, when control is instructed with respect to the plurality of signal processing units.

Abstract: An image processing apparatus includes the following elements. A broad-range feature extraction unit extracts broad-range features from pixels located in a predetermined area in relation to a subject pixel of a first image. A broad-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the broad-range features, the broad-range degree of artificiality from the positional relationship of the broad-range features to a statistical distribution range of an artificial image of the first image. A narrow-range feature extraction unit extracts narrow-range features from pixels located in the predetermined area in relation to the subject pixel of the first image. A narrow-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the narrow-range features, the narrow-range degree of artificiality from the positional relationship of the narrow-range features to a statistical distribution range of the artificial image.

Abstract: A signal processing device controls a plurality of signal processing units that process an input signal inputted via a signal line with wide bandwidth, via a control line with narrow bandwidth or the signal line, and includes: a storing unit configured to store correspondence information that associates instruction information indicating an instruction of control with respect to each of the signal processing units, with control information related to all of the plurality of signal processing units, among pieces of control information necessary for each of the signal processing units to execute content of control; and a transmitting unit configured to transmit the control information associated with the instruction information by the correspondence information, to the plurality of signal processing units via the signal line, when control is instructed with respect to the plurality of signal processing units.

Abstract: An information processing apparatus includes a first classification unit configured to set each of pixels forming a first image as a pixel of interest and classify the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule; a feature amount generation unit configured to generate a shifted waveform whose phase is shifted with respect to a waveform of the first image containing the pixels of interest and configured to generate a feature amount; a second classification unit configured to be provided with a plurality of classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type and configured to classify the pixels of interest; and a prediction calculation unit configured to predictively calculate pixels forming a second image.

Abstract: An image processing device, to convert a first image data into a second image data having a higher image quality, includes: a predicted tap extracting unit to extract multiple pixels as a predicted tap for prediction computing; a level limit class tap extracting unit to extract multiple pixels as a level limit class tap for level limit classifying processing; a waveform class tap extracting unit to extract multiple pixels as a waveform class tap; a level limit classifying unit to classify the pixel of interest, based on a ratio between a level width and a dynamic range of the pixels making up the level limit class tap; a waveform pattern classifying unit to classify the pixel of interest; a prediction coefficient output unit to output a prediction coefficient corresponding to a combination of a level limit class and a waveform pattern class; and a prediction computing unit.

Abstract: A system and method in which a sequence of motion images including a scene of interest is zoomed up and displayed smoothly at a specified arbitrary playback speed. Pixel data of taps corresponding to each pixel of interest in each unit of pixel block of an output image signal to be generated is extracted from an input image signal. A class code is determined based on the extracted pixel data. Based on coefficient seed data of the class and spatial parameters, image quality parameters, and a frame phase of the pixel of interest, a coefficient generator generates coefficient data of the class for use in calculation of pixel data of each pixel of interest. A processing circuit calculates pixel data of the pixel of interest in accordance with a prediction equation using tap data corresponding to the pixel of interest, and the coefficient data corresponding to the class code read from a memory.

Abstract: An image processing apparatus includes the following elements. A broad-range feature extraction unit extracts broad-range features from pixels located in a predetermined area in relation to a subject pixel of a first image. A broad-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the broad-range features, the broad-range degree of artificiality from the positional relationship of the broad-range features to a statistical distribution range of an artificial image of the first image. A narrow-range feature extraction unit extracts narrow-range features from pixels located in the predetermined area in relation to the subject pixel of the first image. A narrow-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the narrow-range features, the narrow-range degree of artificiality from the positional relationship of the narrow-range features to a statistical distribution range of the artificial image.

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: A sequence of motion images including a scene of interest is zoomed up and displayed smoothly at a specified arbitrary playback speed. Pixel data of taps corresponding to each pixel of interest in each unit of pixel block of an output image signal to be generated is extracted from an input image signal, and a class code is determined based on the extracted pixel data. Based on coefficient seed data of the class and spatial paramters, image quality parameters, and a frame phase of the pixel of interest, a coefficient generator generates coefficient data of the class for use in calculation of pixel data of each pixel of interest. A processing circuit calculates pixel data of the pixel of interest in accordance with a prediction equation using tap data corresponding to the pixel of interest, and the coefficient data corresponding to the class code read from a memory.