Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Abstract: A learning data generation device of an embodiment includes a detection unit that detects a changed region in a space between a first map and a second map based on first map data which indicate the first map and second map data which indicate the second map which indicates a substantially same space as the first map and represents the space at a different time point from the first map and a changed region image acquisition unit that acquires images which correspond to the changed region detected by the detection unit from a first image in which the space represented by the first map is captured and a second image in which the space represented by the second map is captured.

Abstract: An abnormality determination device includes: an analysis unit that analyzes at least a feature amount related to a pattern of a captured image of a manhole cover, the feature amount being included in coded information obtained by coding the captured image; and a determination unit that determines based on an analysis result of the analysis unit whether the manhole cover is abnormal.

Abstract: A position determination apparatus for determining, from a first image that is an image including at least a desired first subject, a position of the desired first subject, includes: a feature amount acquisition unit that acquires a first feature amount representing a predetermined feature of the first image; an estimation unit in which a second feature amount representing the predetermined feature obtained from a second image including a second subject is associated with a selected feature map that is a feature map corresponding to the second subject among a plurality of feature maps that are a set of feature maps that are maps representing features of the second image; an estimated first feature map that is estimated by the estimation unit to be associated with the first feature amount: and a position determination unit that determines the position of the desired first subject using the estimated first feature map.

Abstract: An image difference determination device includes a determination result acquisition unit configured to acquire a result of determining whether or not there is a difference between time-series images when there are at least three time-series images and a speed determination unit configured to determine that the difference between the time-series images is caused by a change of a prescribed speed or less when it is determined that there is a difference between images at both ends of a time series in which it is determined that there is no difference between images adjacent in the time series.

Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Abstract: A learning data generation device of an embodiment includes a detection unit that detects a changed region in a space between a first map and a second map based on first map data which indicate the first map and second map data which indicate the second map which indicates a substantially same space as the first map and represents the space at a different time point from the first map and a changed region image acquisition unit that acquires images which correspond to the changed region detected by the detection unit from a first image in which the space represented by the first map is captured and a second image in which the space represented by the second map is captured.

Abstract: An abnormality determination device includes: an analysis unit that analyzes at least a feature amount related to a pattern of a captured image of a manhole cover, the feature amount being included in coded information obtained by coding the captured image; and a determination unit that determines based on an analysis result of the analysis unit whether the manhole cover is abnormal.

Abstract: A position determination apparatus for determining, from a first image that is an image including at least a desired first subject, a position of the desired first subject, includes: a feature amount acquisition unit that acquires a first feature amount representing a predetermined feature of the first image; an estimation unit in which a second feature amount representing the predetermined feature obtained from a second image including a second subject is associated with a selected feature map that is a feature map corresponding to the second subject among a plurality of feature maps that are a set of feature maps that are maps representing features of the second image; an estimated first feature map that is estimated by the estimation unit to be associated with the first feature amount: and a position determination unit that determines the position of the desired first subject using the estimated first feature map.

Abstract: An image difference detection device includes a detection unit configured to detect presence or absence of a difference between a first region within a first image and a second region corresponding to the first region within a second image on the basis of one or both of a code amount of each of encoded blocks in first and second encoded data obtained by encoding the first image and the second image and an index value obtained from encoding information of each of the encoded blocks.

Abstract: An image difference determination device includes a determination result acquisition unit configured to acquire a result of determining whether or not there is a difference between time-series images when there are at least three time-series images and a speed determination unit configured to determine that the difference between the time-series images is caused by a change of a prescribed speed or less when it is determined that there is a difference between images at both ends of a time series in which it is determined that there is no difference between images adjacent in the time series.

Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Abstract: An image encoding method that encodes an image so as to optimize estimated values of processing units which are a coding unit, a prediction unit, and a transform unit by selecting sizes of the individual processing units. The method includes a division step that divides an image having a size of the coding unit into a plurality of blocks; an activity computation step that computes activities pertaining to the individual blocks; and a transform unit size determination step that determines, based on the computed activities, a size pattern of the transform unit within the image having the size of the coding unit.

Abstract: An image difference detection device includes a detection unit configured to detect presence or absence of a difference between a first region within a first image and a second region corresponding to the first region within a second image on the basis of one or both of a code amount of each of encoded blocks in first and second encoded data obtained by encoding the first image and the second image and an index value obtained from encoding information of each of the encoded blocks.

Abstract: An image encoding method that encodes an image so as to optimize estimated values of processing units which are a coding unit, a prediction unit, and a transform unit by selecting sizes of the individual processing units. The method includes a division step that divides an image having a size of the coding unit into a plurality of blocks; an activity computation step that computes activities pertaining to the individual blocks; and a transform unit size determination step that determines, based on the computed activities, a size pattern of the transform unit within the image having the size of the coding unit.

Abstract: An image processing method includes determining a first bandwidth based on original image data; computing a filter coefficient array for implementing frequency characteristics corresponding to a band limitation using the first bandwidth; generating first filtered image data by subjecting the original image data to a filtering process using the first filter coefficient array; deriving an objective image-quality estimation value of the first filtered image data, and computing an allocation coefficient used for determining an optimum bandwidth, based on the objective image-quality estimation value; determining the optimum bandwidth corresponding to the computed allocation coefficient by referring to a table in which a correspondence relationship between the allocation coefficient and the optimum bandwidth is defined; computing an optimum filter coefficient array for implementing the frequency characteristics corresponding to a band limitation using the optimum bandwidth; and generating optimum filtered image dat

Abstract: A video processing method includes dividing a processing target image, which forms a video image, into a plurality of divided areas; determining a bandwidth applied to the divided areas; computing a filter coefficient array for implementing frequency characteristics corresponding to a band limitation using the bandwidth; subjecting the image data to a filtering process using the filter coefficient array; deriving a value of error information between the obtained data and the original image data, and computing an allocation coefficient used for determining an optimum bandwidth, based on the derived value; determining, for each divided area, the optimum bandwidth corresponding to the allocation coefficient, and computing an optimum filter coefficient array for implementing the frequency characteristics corresponding to a band limitation using the optimum bandwidth; subjecting the image data of the divided area to a filtering process using the optimum filter coefficient array; and synthesizing the obtained data

Abstract: A medium 1, that is a laminated holographic medium of the present invention is composed of two or more core layers 2; 3 or more cladding layers 3 set so as to bind the core layers 2; one or more diffraction grating layers 4 storing information data and set at a boundary between a portion of the core layers 2 and the cladding layers 3 binding the core layers 2 or set inside the core layers 2; and one or more recording layers 42 storing information data as forms or a refractive index distribution and set at a boundary between a portion of the core layers 2 and the cladding layers 3 binding the core layers 2 or inside the core layers 2 through or without a gap layer.

Abstract: A video processing method includes dividing a processing target image, which forms a video image, into a plurality of divided areas; determining a bandwidth applied to the divided areas; computing a filter coefficient array for implementing frequency characteristics corresponding to a band limitation using the bandwidth; subjecting the image data to a filtering process using the filter coefficient array; deriving a value of error information between the obtained data and the original image data, and computing an allocation coefficient used for determining an optimum bandwidth, based on the derived value; determining, for each divided area, the optimum bandwidth corresponding to the allocation coefficient, and computing an optimum filter coefficient array for implementing the frequency characteristics corresponding to a band limitation using the optimum bandwidth; subjecting the image data of the divided area to a filtering process using the optimum filter coefficient array; and synthesizing the obtained data