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Hirokazu Kameyama, Kanagawa-Ken JP

Hirokazu Kameyama, Kanagawa-Ken JP

Patent application numberDescriptionPublished
20080297863METHOD OF AND SYSTEM FOR IMAGE PROCESSING AND COMPUTER PROGRAM - In an image processing method for carrying out an image quality correction for correcting an image quality on each of a plurality of images in an image group to obtain corrected images, an image processing method includes the steps of carrying out a temporary image quality correction for correcting an image quality on each images in the image group to obtain a temporarily corrected image. A characteristic value representing an image quality for each temporarily corrected image is calculated and a target characteristic value is calculated so that dispersion of each characteristic value to the target characteristic value is minimized on the basis of the characteristic value of each temporarily corrected image. A correction value of each of the plurality of images in the image group which corrects the characteristic value thereof to the target characteristic value is obtained, and the image is corrected with the correction value.12-04-2008
20090074325METHOD, DEVICE AND PROGRAM FOR CUTTING OUT MOVING IMAGE - To enable obtainment of a composite image including a movement trajectory of a moving body, even from a moving image including a background. Sampling means samples frames from moving image data. First mask frame calculating means calculates mask frames including mask regions, which correspond to positions of the moving body on the frames. Second mask frame calculating means accumulates and binarizes the mask frames to calculate a reference mask frame. Region cutout means masks the frames by using the mask frames and the reference mask frame to cut out moving body regions, which correspond to a moving body, from the frames. Composing means overwrites moving body regions on one of the frames in chronological order to obtain a composite image, which includes the movement trajectory of the moving body.03-19-2009
20100195927METHOD AND DEVICE FOR VIDEO IMAGE PROCESSING, CALCULATING THE SIMILARITY BETWEEN VIDEO FRAMES, AND ACQUIRING A SYNTHESIZED FRAME BY SYNTHESIZING A PLURALITY OF CONTIGUOUS SAMPLED FRAMES - To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames Fr08-05-2010
20100226591METHOD, DEVICE AND PROGRAM FOR CUTTING OUT MOVING IMAGE - To enable obtainment of a composite image including a movement trajectory of a moving body, even from a moving image including a background. A sampler samples frames from moving image data. A first mask frame calculator calculates mask frames including mask regions, which correspond to positions of the moving body on the frames. A second mask frame calculator accumulates and binarizes the mask frames to calculate a reference mask frame. A region masker masks the frames by using the mask frames and the reference mask frame to cut out moving body regions, which correspond to a moving body, from the frames. A composer overwrites moving body regions on one of the frames in chronological order to obtain a composite image, which includes the movement trajectory of the moving body.09-09-2010
20110249001MATRIX GENERATION APPARATUS, METHOD, AND PROGRAM, AND INFORMATION PROCESSING APPARATUS10-13-2011
20110255610METHOD AND DEVICE FOR VIDEO IMAGE PROCESSING, CALCULATING THE SIMILARITY BETWEEN VIDEO FRAMES, AND ACQUIRING A SYNTHESIZED FRAME BY SYNTHESIZING A PLURALITY OF CONTIGUOUS SAMPLED FRAMES - To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames Fr10-20-2011
20110255802INFORMATION PROCESSING APPARATUS, METHOD, AND PROGRAM - Disclosed is a method for accurately and efficiently detecting a modality of input data, including the steps of projecting the input data into a plurality of projection data using each of a plurality of transformation matrix groups U10-20-2011
20120016825DETECTOR CONFIGURATION APPARATUS, METHOD, AND PROGRAM - A detector configuration apparatus for configuring a detector that performs detection through a plurality of detection stages with different resolutions capable of objectively determining a detection target modality type to be detected in each stage. The detector is configured to detect to which of a plurality of attribute values an attribute of an object included in input data corresponds with respect to each of a plurality of modality types. A variation amount calculation unit obtains, based on a plurality of teacher data corresponding to each modality type used for training the detector, a representative value of variation between a plurality of teacher data with respect to each modality type, and a detection stage determination unit determines in which stage of the plurality of detection stages each modality type is to be detected based on the representative value of variation between the teacher data.01-19-2012

Patent applications by Hirokazu Kameyama, Kanagawa-Ken JP