Abstract: A printing method includes obtaining scene information concerning image data from supplemental data that is appended to the image data; classifying a scene of an image represented by the image data, based on the image data; comparing the classified scene with a scene indicated by the scene information; and printing a printout that is used to urge a user to make a continuation when a mismatch between the classified scene and the scene indicated by the scene information exists.

Abstract: Inspection patterns of each ink are printed on a transparent medium, by the use of a print head having a plurality of nozzle groups which discharges multiple types of ink, respectively. The inspection patterns printed on the transparent medium are read by the sensor. When reading the inspection patterns, the background color is switched, by the use of a background color switching section which faces the sensor with the inspection patterns interposed therebetween and in which a background color is switched. An occurrence of a defective nozzle is determined based on a reading result of the sensor.

Abstract: A category classification method includes: calculating function values corresponding to a relationship between a classification target and support vectors that contribute to a classification boundary, calculating an addition value in which the function value for each support vector has been added, and classifying that the classification target does not pertain to a specific category in case that the addition value is smaller than a threshold, wherein calculation of the addition value is carried out by adding function values having positive values, then adding function values having negative values, and the classification target is classified as not pertaining to the specific category, without adding the remaining function values, in case that the addition value has become smaller than the threshold.

Abstract: Provided is a photographing parameter setting system including: a photographing device which photographs an image; and a photographing information providing device which provides photographing information for specifying predetermined photographing parameter values to the photographing device, wherein the photographing information providing device includes: a photographing information storage unit which stores photographing information corresponding to a photographing opportunity defined by a temporal range and a geographic range; and a photographing information transmission unit which transmits the photographing information stored in the photographing information storage unit, and wherein the photographing device includes: a photographing information reception unit which receives the photographing information transmitted from the photographing information transmission unit; and a photographing parameter setting unit which sets the predetermined photographing parameter values used for photographing at the phot

Abstract: A printing apparatus which prints a print image onto a printing medium based on image data, includes a plurality of nozzles which discharge ink onto the printing medium based on the image data while relatively moving with respect to the printing medium, an intensity detector which irradiates the printing medium with irradiation light to detect a light intensity for detection which is an intensity of light through the printing medium based on the irradiation light, and a defective nozzle detector which detects a bias of a distribution of dots with the ink formed on the printing medium based on the light intensity for detection to judge whether a defective nozzle is caused based on the bias of the distribution of the dots.

Abstract: A discharge defect detecting device including a sensor that reads an image, which has been formed on a medium by relatively moving nozzles in a movement direction relative to the medium based on the image data and discharging a fluid, at a reading resolution lower than the resolution of image data in the relative movement direction; standard data writing unit that writes standard data having the same resolution as the reading resolution in the relative movement direction, based on the image data; and a detecting unit that compares the data read by the sensor with the standard data, to detect the discharge defects of the nozzles.

Abstract: A discharge defect detecting device including a sensor that reads image, which has been formed on a medium by moving nozzles relative to the medium in a relative movement direction and discharging a fluid, at a reading resolution lower than the resolution of an image data in the relative movement direction, based on the image data; a standard data forming unit that forms a standard data having the same resolution as the reading resolution in the relative movement direction, based on the image data; and a detecting unit that compares a plurality of the reading data pixels on the same row in the relative movement direction in the data read by the sensor with a plurality of standard data pixels each corresponding to the plurality of the reading data pixels in the standard data, to detect the discharge defects of the nozzles.

Abstract: A method for detecting a defective liquid ejection that includes a) reading, by means of a sensor, an image which is formed on a medium by nozzles ejecting a fluid onto the medium in accordance with image data while being moved relative to the medium in a relative movement direction, b) obtaining differences between pixel values of read data pixels continuously arranged in a row in a direction intersecting with the relative movement direction in data read by the sensor and pixel values of image data pixels corresponding to the read data pixels, and c) detecting a defective liquid ejection of the nozzle by comparing a maximum difference value at a point where the differences show a maximum value with a non-maximum difference value at a time when the differences do not show a maximum value.

Abstract: A method for detecting defective liquid ejection includes: reading an image with a sensor, the image being formed on a medium on the basis of image data by ejecting liquid from a nozzle while relatively moving the nozzle in a direction of relative movement with respect to the medium; specifying a maximum pixel among pixels of read data continuously arrayed in rows in a direction intersecting the direction of the relative movement in the data read with the sensor, the maximum pixel having the maximum pixel value among pixels of the read data; selecting a selected pixel in the data read with the sensor, the selected pixel being included in a line constituted by a plurality of pixels including the maximum pixel arrayed in line in the direction of the relative movement; and detecting defective liquid ejection in the nozzle by comparing the selected pixel with the pixel of the image data corresponding to the selected pixel in the image data.

Abstract: A liquid discharge apparatus. Each of a plurality of first nozzle rows includes a plurality of nozzles disposed in a predetermined direction that discharge cyan or magenta liquid. Each of a plurality of second nozzle rows includes a plurality of nozzles disposed in the predetermined direction that discharge yellow liquid. The number of second nozzle rows is smaller than the number of first nozzle rows. The first nozzle rows form cyan or magenta dots at pixels on a medium. The second nozzle rows form yellow dots at pixels whose number is smaller than the number of pixels at which the first dots are formed.

Abstract: A photo image retrieval system stores photo images and a text data, and extracts and displays any photo image using an input retrieval sentence as an index. A photo image database records photo images with information about image capture dates. A text database stores text data. A text data analysis unit parses the text data, and extracts words. An index database establishes a correlation between information about words extracted and information about dates when the text data is entered. A retrieval sentence analysis unit parses the input retrieval sentence, and extracts a retrieval word A date information extraction unit extracts information about the date when the text data is entered by referring to the index database. A photo image extraction unit extracts, using the date as an index, any of the photo images captured on the date. A display unit displays the extracted photo image.

Abstract: An identification processing that matches a preference of a user is carried out.

Abstract: A category classification method includes: calculating function values corresponding to a relationship between a classification target and support vectors that contribute to a classification boundary, calculating an addition value in which the function value for each support vector has been added, and classifying that the classification target does not pertain to a specific category in case that the addition value is smaller than a threshold, wherein calculation of the addition value is carried out by adding function values having positive values, then adding function values having negative values, and the classification target is classified as not pertaining to the specific category, without adding the remaining function values, in case that the addition value has become smaller than the threshold.

Abstract: A liquid discharge apparatus. Each of a plurality of first nozzle rows includes a plurality of nozzles disposed in a predetermined direction that discharge cyan or magenta liquid. Each of a plurality of second nozzle rows includes a plurality of nozzles disposed in the predetermined direction that discharge yellow liquid. The number of second nozzle rows is smaller than the number of first nozzle rows. The first nozzle rows form cyan or magenta dots at pixels on a medium. The second nozzle rows form yellow dots at pixels whose number is smaller than the number of pixels at which the first dots are formed.

Abstract: An information processing method includes: for image data of each of a plurality of images, obtaining scene information concerning the image data from supplemental data that is appended to the image data, classifying a scene of an image represented by the image data, based on the image data, comparing the classified scene with a scene indicated by the scene information; and if there is a mismatch image for which the classified scene does not match the scene indicated by the scene information, displaying information concerning the mismatch image on a confirmation screen.

Abstract: The present invention is provided with: a characteristic amount obtaining section that obtains a partial characteristic amount indicating a characteristic of a partial image that constitutes a part of a classification target image; a partial evaluation section that carries out an evaluation based on the partial characteristic amount obtained by the characteristic amount obtaining section as to whether or not the partial image pertains to a specific scene; and a determining section that determines whether or not the classification target image pertains to the specific scene by using an evaluation result of the partial evaluation section for only the partial images corresponding respectively to a predetermined M number of partial areas among an N number of the partial areas (M<N) obtained by dividing an image overall area.

Abstract: The present invention is provided with: a scene classification apparatus, that includes: a first partial classifier that determines that a classification target image pertains to a first scene, according to an evaluation result indicating that a partial image pertains to the first scene, by carrying out an evaluation as to whether or not the partial image pertains to the first scene, based on a partial characteristic amount indicating a characteristic of the partial image that constitutes a part of the classification target image; and a second partial classifier that determines that the classification target image pertains to a second scene having a characteristic different from that of the first scene, based on the partial characteristic amount, in the case where it is not determined that the classification target image pertains to the first scene with the first partial classifier; wherein the first partial classifier determines that, in the case where it is not determined that the classification target imag

Abstract: A printing method includes obtaining scene information concerning image data from supplemental data that is appended to the image data; classifying a scene of an image represented by the image data, based on the image data; comparing the classified scene with a scene indicated by the scene information; and printing a printout that is used to urge a user to make a continuation when a mismatch between the classified scene and the scene indicated by the scene information exists.

Abstract: A scene classification apparatus includes: a characteristic amount obtaining section that obtains a partial characteristic amount indicating a characteristic of a partial image that is a portion of a classification-target image; a partial classification section that classifies, based on the partial characteristic amount, whether or not the partial image belongs to a predetermined scene; a detection section that detects the number of the partial images classified as belonging to the predetermined scene; and a decision section that decides, according to the number of the partial images detected by the detection section, whether or not the classification-target image belongs to the predetermined scene.

Abstract: A category classification apparatus includes: a partial characteristic amount obtaining section that obtains a plurality of partial characteristic amounts indicating characteristics of portions that are respectively represented by each of a plurality of partial image data, based on each of the plurality of partial image data obtained by dividing image data representing an image; an overall characteristic amount obtaining section that obtains an overall characteristic amount indicating an overall characteristic of the image, based on the plurality of partial characteristic amounts; and a category classifier that classifies a category to which the image belongs, based on at least one of the partial characteristic amounts and the overall characteristic amount.