Nippon Telegraph and Telephone Corporation

Hidehisa Nagano

Kunio Kashino

Takayuki Kurozumi

Kaoru Hiramatsu

Takahito Kawanishi

Yasunori Oishi

Go Irie

Kazuhiko Sumi

Seiya Ito

It is possible to receive a point cloud as input and perform shape completion with high accuracy. A shape completion unit inputs an input point cloud and a class identification feature output by a class identification unit to a generator that is learned in advance and generates a shape completion point cloud that is to complete a point cloud and is a set of three-dimensional points by receiving, as input, the point cloud and the class identification feature, gaining an integration result obtained by integrating a global feature that is a global feature based on local features extracted from respective points of the point cloud with the class identification feature, and convoluting the integration result, and outputs the shape completion point cloud that is to complete the input point cloud.

Shape supplementation device, shape supplementation learning device, method, and program

An identifier of query content is accurately determined. A content determining deviceincludes an input unitthat inputs query content, a storage unitthat stores a plurality of pieces of master content, and a content determining unitthat determines a region where feature values of two pieces of master content out of the plurality of pieces of master content do not match each other, calculates a matching feature count which is a count of feature values of the region that match feature values in a corresponding region of the query content, for each of the two pieces of master content, and determines an identifier of the query content on the basis of the matching feature count of each of the pieces of master content.

Content determination device, content determination method, and program

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 stored area selection features.

Sound signal detection system, sound signal detection server, image signal search apparatus, image signal search method, image signal search program and medium, signal search apparatus, signal search method and signal search program and medium

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.

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Sagamihara, Japan

Hidehisa Nagano