Abstract: An apparatus for embedding a digital watermark includes a memory, and a processor coupled to the memory and configured to generate a watermark signal to be embedded into moving image data based on information to be added to the moving image data, determine a frame of the moving image data at which overlapping of the watermark signal is to be started based on a variation in value in a time direction of a pixel in a region, in each of a plurality of frames of the moving image data, into which the watermark signal is to be embedded and also on a feature of the watermark signal, and embed the watermark signal beginning with the determined frame.

Abstract: A method for shape estimation includes: executing extraction processing that includes extracting a plurality of feature points from a plurality of pieces of image information of a same subject photographed with a time difference; executing estimation processing that includes first processing for selecting feature points from the plurality of feature points; second processing for estimating a three-dimensional shape of the subject based on the selected feature points; third processing for removing the feature points from the plurality of feature points after the estimation of the three-dimensional shape based on the feature points; and fourth processing for executing the first processing, the second processing, and the third processing on the plurality of feature points from which the feature points are removed by the third processing; and executing integration processing that includes integrating a plurality of the three-dimensional shapes estimated by the estimating processing.

Abstract: An apparatus for embedding a digital watermark includes a memory, and a processor coupled to the memory and configured to generate a watermark signal to be embedded into moving image data based on information to be added to the moving image data, determine a frame of the moving image data at which overlapping of the watermark signal is to be started based on a variation in value in a time direction of a pixel in a region, in each of a plurality of frames of the moving image data, into which the watermark signal is to be embedded and also on a feature of the watermark signal, and embed the watermark signal beginning with the determined frame.

Abstract: A method for shape estimation includes: executing extraction processing that includes extracting a plurality of feature points from a plurality of pieces of image information of a same subject photographed with a time difference; executing estimation processing that includes first processing for selecting feature points from the plurality of feature points; second processing for estimating a three-dimensional shape of the subject based on the selected feature points; third processing for removing the feature points from the plurality of feature points after the estimation of the three-dimensional shape based on the feature points; and fourth processing for executing the first processing, the second processing, and the third processing on the plurality of feature points from which the feature points are removed by the third processing; and executing integration processing that includes integrating a plurality of the three-dimensional shapes estimated by the estimating processing.

Abstract: A focus position detection device calculates, for each of shift amount calculation areas in a measurement area set on an image sensor of an imaging unit, a local shift amount of a second sub-image with respect to a first sub-image when a subject on the first sub-image and a subject on the second sub-image are most coincident with each other and a feature quantity of a probability distribution representing accuracy of the local shift amount, estimates the probability distribution based on the local shift amount and the feature quantity for each shift amount calculation area, combines the probability distributions of the shift amount calculation areas to obtain a distribution of accuracy of the local shift amount for the measurement area, and calculates a representative value representing the distance between a focus position produced by an optical system of the imaging unit and the image sensor based on the distribution.

Abstract: A position information adding apparatus includes: a reference position setting unit which sets a plurality of reference positions for each of a plurality of pictures contained in digitalized video data; a region setting unit which sets a first position information adding region at a first position defined based on at least any of the plurality of reference positions and a second position information adding region at a second position different from the first position, for each of the plurality of pictures; and a position information embedding unit which embeds a first moving pattern which moves on the pictures in a first temporal period into the first position information adding region and a second moving pattern which moves on the pictures in a second temporal period into the second position information adding region.

Abstract: A method of estimating a phase difference includes: setting an area that is to be focused in an imaging range of an imaging device, the imaging device including an imaging element having a plurality of pixel arrays of phase-different pixels; first calculating, when a representative value for the plurality of pixel arrays is calculated, a pixel reference direction in which a pixel value is referred to, based on a position of an edge that appears in the plurality of pixel arrays; executing statistical processing of the pixel value for the plurality of pixel arrays in the calculated reference direction; and second calculating, by a processor, a phase difference using a pixel array that represents the plurality of pixel arrays that have been calculated by the statistical processing.

Abstract: A focus position detection device calculates, for each shift amount calculation area contained in a measurement area defined on an image sensor, a local shift amount representing a shift between a first sub-image generated from first pixels and a second sub-image generated from second pixels and its confidence score, and corrects the confidence score based on at least one of the spacing between the first pixels, the spacing between the second pixels, and the amount of positional displacement between the first and second pixels in a direction orthogonal to the edge direction of a subject captured in the shift amount calculation area. Then, the focus position detection device calculates a representative value representing the distance between the image sensor and the focus position, by taking a weighted average of the local shift amounts of the respective shift amount calculation areas with weighting based on the corrected confidence scores.

Abstract: A focus position detection apparatus calculates, for each shift amount calculation area in a measurement area set on an image sensor of a camera, a local shift amount between a first sub-image generated by first pixels and a second sub-image generated by second pixels, and a degree of reliability of the local shift amount, and corrects the degree of reliability base on a level of inclusion of components included in a subject image in the shift amount calculation area and being finer than a distance between two adjacent first pixels or a distance between two adjacent second pixels. The focus position detection apparatus then calculates a representative value representing a distance between a focus position by an optical system of the camera and the image sensor so that influence of the local shift amount of each shift amount calculation area increases as the corrected degree of reliability increases.

Abstract: A position information adding apparatus includes: a reference position setting unit which sets a plurality of reference positions for each of a plurality of pictures contained in digitalized video data; a region setting unit which sets a first position information adding region at a first position defined based on at least any of the plurality of reference positions and a second position information adding region at a second position different from the first position, for each of the plurality of pictures; and a position information embedding unit which embeds a first moving pattern which moves on the pictures in a first temporal period into the first position information adding region and a second moving pattern which moves on the pictures in a second temporal period into the second position information adding region.

Abstract: A focus position detection device calculates, for each of shift amount calculation areas in a measurement area set on an image sensor of an imaging unit, a local shift amount of a second sub-image with respect to a first sub-image when a subject on the first sub-image and a subject on the second sub-image are most coincident with each other and a feature quantity of a probability distribution representing accuracy of the local shift amount, estimates the probability distribution based on the local shift amount and the feature quantity for each shift amount calculation area, combines the probability distributions of the shift amount calculation areas to obtain a distribution of accuracy of the local shift amount for the measurement area, and calculates a representative value representing the distance between a focus position produced by an optical system of the imaging unit and the image sensor based on the distribution.

Abstract: A processor of executes the following processes on one or more second feature point pairs for a first feature point pair from among created first pair candidates. A first vector is a vector that connects a first feature point of the first feature point pair and a first feature point of the second feature point pair. A second vector is a vector that connects a second feature point of the first feature point pair and a second feature point of the second feature point pair. The processor determines that a first feature point pair has been deleted from the first pair candidates, on the basis of a comparison result between a predetermined angle and an angle between the first vector and the second vector. The processor performs matching between the first image and the second image on the basis of feature point.

Abstract: An error detection method includes: generating an input code sequence from a signal that repeatedly transmits a code sequence including data, an error detection code, and an error correction code; generating a decoding-target code sequence including recovered data, an error detection code, and an error correction code from the input code sequence; generating a corrected code sequence by executing an error correction process that uses the error correction code in the decoding-target code sequence on the decoding-target code sequence; deciding whether the recovered data in the corrected code sequence includes an error by using the error detection code in the decoding-target code sequence; generating a reference code sequence by adding to the corrected code sequence a corresponding error correction code; and verifying whether a decision result for the recovered data is correct according to a comparison result between the reference code sequence and the input code sequence.

Abstract: An evaluation apparatus includes: a memory; and a processor coupled to the memory and configured to calculate a first feature by calculating a first-order difference for a first image, calculate a second feature by calculating a second-order difference for the first image, calculate a third feature by calculating a first-order difference for a second image, calculate a fourth feature by calculating a second-order difference for the second image, and evaluate deterioration of the second image with respect to the first image according to a first simultaneous distribution that represents a first relationship between the first feature and the second feature and to a second simultaneous distribution that represents a second relationship between the third feature and the fourth feature.

Abstract: A position information adding apparatus includes: a reference position setting unit which sets a plurality of reference positions for each of a plurality of pictures contained in digitalized video data; a region setting unit which sets a first position information adding region at a first position defined based on at least any of the plurality of reference positions and a second position information adding region at a second position different from the first position, for each of the plurality of pictures; and a position information embedding unit which embeds a first moving pattern which moves on the pictures in a first temporal period into the first position information adding region and a second moving pattern which moves on the pictures in a second temporal period into the second position information adding region.

Abstract: A video image feature generation system includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, extracting a frame feature value featuring a frame, which is a unit of an input video image, based on a pixel value of the frame; and generating a phase of each frequency as a video image feature based on at least two frequencies, the frame feature value obtained in the extracting, and generation information for generating phases of the frequencies according to the frequencies and the frame feature value.

Abstract: An error detection method includes: generating an input code sequence from a signal that repeatedly transmits a code sequence including data, an error detection code, and an error correction code; generating a decoding-target code sequence including recovered data, an error detection code, and an error correction code from the input code sequence; generating a corrected code sequence by executing an error correction process that uses the error correction code in the decoding-target code sequence on the decoding-target code sequence; deciding whether the recovered data in the corrected code sequence includes an error by using the error detection code in the decoding-target code sequence; generating a reference code sequence by adding to the corrected code sequence a corresponding error correction code; and verifying whether a decision result for the recovered data is correct according to a comparison result between the reference code sequence and the input code sequence.

Abstract: An image processor includes an image degradation measuring unit configured to compute a degradation level of block data with respect to each of blocks within an image, a degradation determining unit configured to select, with respect to each of the blocks within the image, the block data of a target block of one of a plurality of the images based on degradation levels of respective block data of the target blocks of the plurality of the images, and an image synthesis unit configured to generate a sheet of an image by synthesizing the block data selected with respect to the blocks within the image.

Abstract: An image encryption system includes an encrypter configured to generate an encrypted image including an encrypted area by encrypting a partial area of an input image; an identification information generator configured to generate identification information for identifying the encrypted area based on an image of the encrypted area; and a registration unit configured to register the identification information and a decryption key for decrypting the encrypted area by making an association between the identification information and the decryption key.

Abstract: A processor of executes the following processes on one or more second feature point pairs for a first feature point pair from among created first pair candidates. A first vector is a vector that connects a first feature point of the first feature point pair and a first feature point of the second feature point pair. A second vector is a vector that connects a second feature point of the first feature point pair and a second feature point of the second feature point pair. The processor determines that a first feature point pair has been deleted from the first pair candidates, on the basis of a comparison result between a predetermined angle and an angle between the first vector and the second vector. The processor performs matching between the first image and the second image on the basis of feature point.