Abstract: An image processing apparatus includes circuitry that estimates a first geometric transformation parameter aligning first output image data with the original image data, the first output image data being acquired by reading a first output result, and a second geometric transformation parameter aligning second output image data with the original image data, the second output image data being acquired by reading a second output result. The circuitry associates, based on the first and second geometric transformation parameters, combinations of color components of the first and second output image data, corresponding to pixels of the original image data, to generate pixel value association data, and determines, based on the pixel value association data, a mapping for estimating color drift between the first output image data and the second output image data from the original image data. The original image data is subjected to color conversion based on the mapping.

Abstract: A node includes processing circuitry. The processing circuitry displays on a display, local model identification information identifying a local model generated by another node and a classification item that classifies learning data used to generate the local model. The processing circuitry receives selection of the local model. The processing circuitry transmits selection information indicating the selection of the local model to another device.

Abstract: An information processing apparatus includes processing circuitry. The processing circuitry receives, from a terminal device, condition information indicating conditions related to a model. The processing circuitry determines whether at least one of multiple models satisfies the conditions. The multiple models are generated by executing learning processing using learning data. The processing circuitry transmits to the terminal device model specifying information that specifies a one of the models satisfying the conditions based on a result of the determination.

Abstract: An information processing apparatus, an information processing method, and a non-transitory recording medium. The information processing apparatus receives at least one of information indicating a local model or output data, from each of a plurality of nodes, the information indicating the local model being obtained by learning a local data processed by the node based on a global model, the output data being obtained by inputting shared data to the local model, updates the global model based on at least one of a plurality of the information indicating the local model or a plurality of the output data received from the plurality of nodes, and calculates contribution degree of at least one of each of the plurality of local models or each of the plurality of output data to the updated global model.

Abstract: An image retrieval apparatus acquires an image to be processed, the image to be processed including at least one article. The image retrieval apparatus specifies, as an association image, a product image of a product having an evaluation value that has a predetermined relationship with an evaluation value of the article included in the image to be processed, from among product images of a plurality of products each belonging to a particular category, the particular category being different from a category to which the article included in the image to be processed belongs. The image to be processed and the specified association image may be output in association with each other.

Abstract: An image processing apparatus includes circuitry that estimates a first geometric transformation parameter for aligning first output image data with the original image data, the first output image data being acquired by reading a first output result, and a second geometric transformation parameter for aligning second output image data with the original image data, the second output image data being acquired by reading a second output result; associates, based on the first and the second geometric transformation parameters, combinations of color components of the first and the second output image data, corresponding to pixels of the original image data, to generate pixel value association data; determines, based on the pixel value association data, a mapping for estimating color drift between the first output image data and the second output image data from the original image data; and subjects the original image data to color conversion based on the mapping.

Abstract: An image retrieval apparatus acquires an image to be processed, the image to be processed including at least one article. The image retrieval apparatus specifies, as an association image, a product image of a product having an evaluation value that has a predetermined relationship with an evaluation value of the article included in the image to be processed, from among product images of a plurality of products each belonging to a particular category, the particular category being different from a category to which the article included in the image to be processed belongs. The image to be processed and the specified association image may be output in association with each other.

Abstract: An image processing apparatus includes a parameter estimation unit that estimates a first parameter for aligning first output image data with original image data and a second parameter for aligning second output image data with the original image data, a pixel value mapping unit that generates first pixel value mapping data associating color components of a pixel of the first output image data with color components of a corresponding pixel of the original image data and second pixel value mapping data associating color components of a pixel of the second output image data with color components of a corresponding pixel of the original image data, a map estimation unit that obtains a first map and a second map based on the first and second pixel value mapping data, and a conversion unit that converts a pixel value of the original image data based on the first and second maps.

Abstract: An image processing apparatus includes a parameter estimation unit that estimates a first parameter for aligning first output image data with original image data and a second parameter for aligning second output image data with the original image data, a pixel value mapping unit that generates first pixel value mapping data associating color components of a pixel of the first output image data with color components of a corresponding pixel of the original image data and second pixel value mapping data associating color components of a pixel of the second output image data with color components of a corresponding pixel of the original image data, a map estimation unit that obtains a first map and a second map based on the first and second pixel value mapping data, and a conversion unit that converts a pixel value of the original image data based on the first and second maps.