Abstract: An estimation method is an estimation method executed by an estimation device, and includes a feature estimation step of estimating a feature quantity regarding coordinates of a point cloud, a depth derivation step of deriving a depth vector of the point cloud on the basis of predetermined parameters, a shift amount estimation step of deriving a shift amount of the coordinates of the point cloud on the basis of the feature quality, a shift processing step of shifting the coordinates of the point cloud on the basis of the shift amount and the depth vector, and a plane estimation step of estimating parameters of a plane that fits the coordinates of the point clouds including the point cloud whose coordinates have been shifted.

Abstract: An image encoding method is an image encoding method executed by an image encoding device, the method including: a feature map generating step of generating a first feature map representing a feature of an encoding target image which is an encoding target image and a second feature map representing a feature of the encoding target image at different resolutions; a correlation map generation step of generating a correlation map representing a correlation distribution between the first and second feature maps; a contraction function generation step of generating a contraction function which is a function used for a contraction process for a predetermined image in a decoding process based on the correlation map; and an encoding step of executing an encoding process on the contraction function and outputting a result of the encoding process.

Abstract: An aspect of the present invention is a learning method for learning a model which reconstructs data and acquires reconstructed data, the learning method includes a plurality of stages, and the learning method includes first sub-processing which is based on an iterative calculation algorithm in which a Lagrange multiplier is not used, second sub-processing which is based on an iterative calculation algorithm in which the Lagrange multiplier is used, and weighting sub-processing which determines processing in each of the plurality of stages based on a weight for determining usage of the first sub-processing and the second sub-processing in each stage.

Abstract: An image coding method includes: an image acquisition step of acquiring a coding-target image; a feature map generation step of generating a feature map, based on the image; a contraction function generation step of performing fractal compression of the feature map and generating a contraction function; and an entropy encoding step of performing entropy encoding of the contraction function.

Abstract: A filter generation method according to one embodiment is a filter generation method for generating a filter for an inter prediction image in moving image coding or video coding, wherein a computer executes a first acquisition procedure for acquiring, for each of subblocks included in a coding object block, a region in a reference image that corresponds to the subblock, a second acquisition procedure for referring to block segmentation information of the reference image and acquiring a coding block that is a block of the reference image which includes the region, and a generation procedure for generating, for the coding object block or each of a plurality of coding object blocks, an image obtained by performing an inverse transformation on one or more coding blocks each acquired in the second acquisition procedure as the filter.

Abstract: Provided is a signal reconstruction method executed by a signal reconstruction apparatus including a processor and a memory that stores a codec. The signal reconstruction method includes reconstructing an input signal according to a desired purpose, and in the reconstructing, a likelihood of the input signal being a predetermined type of signal is considered by executing coding on a processing result of the input signal, based on the codec previously determined according to a type of the input signal.

Abstract: A sound signal detection system of the present invention that searches for a portion of stored sound signals similar to a target sound signal, includes a stored feature calculation portion that calculates a stored feature from time-series data of the stored sound signals; a target feature calculation portion that calculates a target feature from time-series data of the target sound signal; a stored feature area selection portion that selects elements corresponding to statistics larger than a threshold from stored features and calculates stored area selection features generated from the selected elements; a target feature area selection portion that selects elements corresponding to statistics larger than a threshold from a target feature and calculates a target area selection feature generated from the selected element; and a feature comparison portion that sets a comparison segment in the stored area selection features and calculates a degree of similarity between comparison segments of both the target and s

Abstract: The present invention is a detection system of a segment including specific sound signal which detects a segment in a stored sound signal similar to a reference sound signal, including: a reference signal spectrogram division portion which divides a reference signal spectrogram into spectrograms of small-regions; a small-region reference signal spectrogram coding portion which encodes the small-region reference signal spectrogram to a reference signal small-region code; a small-region stored signal spectrogram coding portion which encodes a small-region stored signal spectrogram to a stored signal small-region code; a similar small-region spectrogram detection portion which detects a small-region spectrogram similar to the small-region reference signal spectrograms based on a degree of similarity of a code; and a degree of segment similarity calculation portion which uses a degree of small-region similarity and calculates a degree of similarity between the segment of the stored signal and the reference signal

Abstract: There are included: an initial sub-signal creation section which creates, from an original signal, sub-signals of shorter length than the original signal; a created sub-signal selection section which, for the sub-signals produced by the initial sub-signal creation section, prunes the created sub-signal candidates to those for which the amount of data is less than for the original signal; a sub-signal re-creation section which determines a created sub-signal which is actually to be used, using the created sub-signal candidates produced by the created sub-signal selection section; a compression mapping determination section which determines, from the sub-signals produced by the sub-signal re-creation section, a mapping for calculation of a compressed signal; and a signal compression section which calculates a compressed signal corresponding to the sub-signals obtained by the sub-signal re-creation section, based upon the mapping obtained by the compression mapping determination section.

Abstract: A signal detection system of the invention comprises: a target signal feature quantity calculation section which derives a feature quantity series from a target signal; a stored signal feature quantity calculation section which derives a feature quantity series from a stored signal; a target signal histogram calculation section which searches for a histogram of feature quantities in a target signal feature quantity series; a stored signal histogram series calculation section which obtains a histogram series in regard to a stored signal feature quantity series, by calculating a histogram of feature quantities; a stored signal histogram grouping section which groups histogram series, for which a similarity level satisfies a criteria; a stored signal histogram group selection section which selects groups which include an area to be output from a histogram group; a stored signal collation section which performs collation with respect to histograms of a histogram group, and obtains a similarity value; and a collat

Abstract: It enables easy and quick searching and delivery of information desired by a user based upon a portion of time-series data which consists of clip information from music, a movie, a commercial message, or the like. The user accesses an information search server from a user terminal which is connected to a network, and, using this portion of time-series data as a search key, performs searches upon said server for information related to the time-series data. The information search server returns the name of the tune, the title of the movie, the name of goods advertised in the commercial message or the like to the user terminal via said network as search results, and the search provider levies a price for said search from the user.

Abstract: The present invention is a detection system of a segment including specific sound signal which detects a segment in a stored sound signal similar to a reference sound signal, including: a reference signal spectrogram division portion which divides a reference signal spectrogram into spectrograms of small-regions; a small-region reference signal spectrogram coding portion which encodes the small-region reference signal spectrogram to a reference signal small-region code; a small-region stored signal spectrogram coding portion which encodes a small-region stored signal spectrogram to a stored signal small-region code; a similar small-region spectrogram detection portion which detects a small-region spectrogram similar to the small-region reference signal spectrograms based on a degree of similarity of a code; and a degree of segment similarity calculation portion which uses a degree of small-region similarity and calculates a degree of similarity between the segment of the stored signal and the reference signal

Abstract: A sound signal detection system of the present invention that searches for a portion of stored sound signals similar to a target sound signal, includes a stored feature calculation portion that calculates a stored feature from time-series data of the stored sound signals; a target feature calculation portion that calculates a target feature from time-series data of the target sound signal; a stored feature area selection portion that selects elements corresponding to statistics larger than a threshold from stored features and calculates stored area selection features generated from the selected elements; a target feature area selection portion that selects elements corresponding to statistics larger than a threshold from a target feature and calculates a target area selection feature generated from the selected element; and a feature comparison portion that sets a comparison segment in the stored area selection features and calculates a degree of similarity between comparison segments of both the target and s

Abstract: A signal detection system of the invention comprises: a target signal feature quantity calculation section which derives a feature quantity series from a target signal; a stored signal feature quantity calculation section which derives a feature quantity series from a stored signal; a target signal histogram calculation section which searches for a histogram of feature quantities in a target signal feature quantity series; a stored signal histogram series calculation section which obtains a histogram series in regard to a stored signal feature quantity series, by calculating a histogram of feature quantities; a stored signal histogram grouping section which groups histogram series, for which a similarity level satisfies a criteria; a stored signal histogram group selection section which selects groups which include an area to be output from a histogram group; a stored signal collation section which performs collation with respect to histograms of a histogram group, and obtains a similarity value; and a collat

Abstract: Signal detection having superior resistance with respect to feature distortions is realized. Reference and input feature time-series signals, each consisting of feature vectors, are respectively obtained from reference and input time-series signals. The reference and input feature time-series signals are respectively converted into reference and input coded time-series signals, each consisting of codes indicating classifications. A distortion is added to at least one signal of the reference and input time-series signals, the reference and input feature time-series signals, and the reference and input coded time-series signals. The degree of similarity between the reference time-series signal and a collation portion determined in the input coded time-series signal is calculated based on their histograms.

Abstract: There are included: an initial sub-signal creation section which creates, from an original signal, sub-signals of shorter length than the original signal; a created sub-signal selection section which, for the sub-signals produced by the initial sub-signal creation section, prunes the created sub-signal candidates to those for which the amount of data is less than for the original signal; a sub-signal re-creation section which determines a created sub-signal which is actually to be used, using the created sub-signal candidates produced by the created sub-signal selection section; a compression mapping determination section which determines, from the sub-signals produced by the sub-signal re-creation section, a mapping for calculation of a compressed signal; and a signal compression section which calculates a compressed signal corresponding to the sub-signals obtained by the sub-signal re-creation section, based upon the mapping obtained by the compression mapping determination section.

Abstract: It enables easy and quick searching and delivery of information desired by a user based upon a portion of time-series data which consists of clip information from music, a movie, a commercial message, or the like. The user accesses an information search server from a user terminal which is connected to a network, and, using this portion of time-series data as a search key, performs searches upon said server for information related to the time-series data. The information search server returns the name of the tune, the title of the movie, the name of goods advertised in the commercial message or the like to the user terminal via said network as search results, and the search provider levies a price for said search from the user.

Abstract: Signal detection having superior resistance with respect to feature distortions is realized. Reference and input feature time-series signals, each consisting of feature vectors, are respectively obtained from reference and input time-series signals. The reference and input feature time-series signals are respectively converted into reference and input coded time-series signals, each consisting of codes indicating classifications. A distortion is added to at least one signal of the reference and input time-series signals, the reference and input feature time-series signals, and the reference and input coded time-series signals. The degree of similarity between the reference time-series signal and a collation portion determined in the input coded time-series signal is calculated based on their histograms.