Nippon Telegraph and Telephone Corporation

Kota Hidaka

Yoshihide Tonomura

Atsushi Nakadaira

Shigeru Fujimura

Hiroki Watanabe

Shigenori Ohashi

Tatsuro Ishida

Shinya Nakajima

Yoko Ishii

Tetsuro Tokunaga

Yuichi Hiroi

Hidenobu Nagata

Osamu Mizuno

Takashi Satou

Arinobu Niijima

Yukinobu Taniguchi

Go Irie

Junichi Kishigami

Motohiro Makiguchi

Masayoshi Chikada

Haruhiko Kojima

Hidetaka Kuwano

Hiromu Miyashita

Hirokazu Kakinuma

Jiro Nagao

Mariko Yamaguchi

Narimune Matsumura

A blockchain is used to distribute a right to content data. A right holder terminal, an assignee terminal, and a blockchain control terminal stores a blockchain that is synchronized among the right holder terminal, the assignee terminal, and the blockchain control terminal. The blockchain includes a transaction set with a smart contract program for distributing the right. The blockchain control terminal includes a token issuance unit generating token data that includes match information for the content data and a type of right to be distributed, is set with an address of a right holder as owner information, and is identified by a token identifier, and registering the token data corresponding to the token identifier with the blockchain.

Content contract system, content contract method, and control terminal

A video generation device includes: an object extraction unit that extracts an object area from a captured video in a space; a spatial position tracking unit that detects an article from three-dimensional position measurement data in the space, applies identification information to the article, and calculates a three-dimensional spatial position of the article using the three-dimensional position measurement data; a position information merging unit that links the object area to the identification information of the article to associate the three-dimensional spatial position with the object area; a depth expression unit that generates a depth expression video of only the object area with which the three-dimensional spatial position has been associated, a depth of the video being able to be adjusted in the depth expression video; and a feedback unitthat transmits information indicating a method for reducing blurring generated in the object area of the depth expression video.

Video generation apparatus, method and program

A digital watermark is applied to a video to be distributed without re-encoding. A content distribution devicereceives a content acquisition request to request video content, distributes the video content based on the content acquisition request, generates and distributes a watermark video with a watermark ID embedded, and causes watermark-video-related information including the watermark ID to be recorded, and a content playback devicetransmits the content acquisition request, receives the video content and the watermark video, plays back and displays the video content, and superimposes the watermark video on the video content for playback and display.

Video distribution method, distribution device, and inspection device

A settlement system includes a service provider devicewhich transmits a template information transaction including a template of a transaction to a networkof a first blockchain, a user device which transmits, to the networkof the first blockchain, a payment information transaction that includes an electronic signature generated by using the template of the transaction and a payment amount, and a smart contract, wherein the smart contractverifies the electronic signature by using the payment amount and the template of the transaction, the service provider devicegenerates a settlement transaction by using the template of the transaction, the electronic signature and the payment amount, and transmits the settlement transaction to a networkof a second blockchain, a plurality of output conditions are set to the template of the transaction, and the settlement transaction becomes usable when any one of the plurality of output conditions is satisfied.

Settlement system, settlement method, user device, and settlement program

It is possible to inhibit deterioration of extraction precision of a subject and reliably extract the subject even when colors of the subject and a background are the same or similar. An image processing deviceincludes an input unitconfigured to input a first invisible light image of only a background in which a subject is not included and a second invisible light image in which the subject and the background are included and a subject region extraction unitconfigured to calculate a difference between a pixel value of each pixel of the second invisible light image and a pixel value of a corresponding pixel of the first invisible light image, determine whether the pixel is in a subject region or a background region in accordance with whether the difference is equal to or greater than a predetermined threshold, and extract the subject region from the second invisible light image. The first and second invisible light images are images captured in an environment in which an invisible light irradiation device is disposed so that invisible light is radiated to the background and the invisible light is not radiated to the subject.

Image processing device, image processing method, and image processing program

Accurate and rapid identification can be performed even when feature vectors of input pixels and background pixels are close. An image processing device includes: a feature extractor which extracts features of pixels from an input image and an input image of a different time; a quantization unit which reduces the number of gradations of features extracted by the feature extractor; a learning unitwhich learns combinations of the features of pixels through a machine learning algorithm that performs nonlinear identification and constructs a network according to machine learning; an LUT generatorwhich generates an LUT that replaces arithmetic operations of the network constructed by the learning unit; a foreground region estimatorwhich rapidly estimates similarity of each pixel of the input image to a foreground by referring to the LUT generated by the LUT generator; and a boundary correctorwhich classifies regions similar to the foreground estimated by the foreground region estimatorinto the foreground, a background, and an unclassified region including boundary pixels of the foreground and the background and performs boundary correction only on the unclassified region.

Video processing device, video processing method, and video processing program

To identify and track a plurality of objects. An object tracking deviceincludes a frame acquisition unitfor acquiring one set of frame dataincluded in moving image data that captures a space where a plurality of objects are present; a distance acquisition unitfor acquiring measurement datafrom measurement of three-dimensional coordinates of points configuring the objects in the space where the objects are present; an object position detection unitfor detecting a two-dimensional position of each of the objects from the frame dataon the basis of comparison with template data of each of the objects; an object distance detection unitfor detecting a plurality of three-dimensional positions of the objects from the measurement data; and an associating unitfor associating each two-dimensional position from the object position detection unitwith the nearest three-dimensional position among the three-dimensional positions from the object distance detection unit 34.

Object tracking device, object tracking method, and object tracking program

There is provided an object tracking apparatus that realizes robust object detection and tracking even for movement fluctuation and observation noise, an object tracking method and a computer program. An object cracking apparatusis an apparatus tracking an object in video, the object tracking apparatusincluding: a deep learning discriminatorwhich is a discriminator by deep learning; and a particle filter function unittracking an object by applying a multi-channel feature value of video including feature values by the deep learning discriminatorto likelihood evaluation by a particle filter, according to a distance between position information about the multi-channel feature value and position information about each particle.

Object tracker, object tracking method, and computer program

An aerial image display device is capable of changing a depth of a virtual image viewed by an observer without changing a distance between at least one display device and an optical element forming the virtual image. The aerial image display device includes a display device, optical elements, and a reflecting member. The optical elements are installed corresponding to different display regions of a display surface of the display device and sequentially arranged along the display surface in an observation direction of an observer. The optical element is installed obliquely with an angle of about 45&#xb0; in a &#x2212;X direction when viewed from the display surface of the display device. The optical element is installed obliquely with an angle of about 45&#xb0; in an X direction when viewed from the display surface of the display device.

Aerial image display device

A scheme to judge emphasized speech portions, wherein the judgment is executed by a statistical processing in terms of a set of speech parameters including a fundamental frequency, power and a temporal variation of a dynamic measure and/or their derivatives. The emphasized speech portions are used for clues to summarize an audio content or a video content with a speech.

Speech processing method and apparatus for deciding emphasized portions of speech, and program therefor

An audio feature is extracted from audio signal data for each analysis frame and stored in a storage part. Then, the audio feature is read from the storage part, and an emotional state probability of the audio feature corresponding to an emotional state is calculated using one or more statistical models constructed based on previously input learning audio signal data. Then, based on the calculated emotional state probability, the emotional state of a section including the analysis frame is determined.

Emotion detecting method, emotion detecting apparatus, emotion detecting program that implements the same method, and storage medium that stores the same program

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Musashino, Japan

Kota Hidaka