公开(公告)号：US11727446B2

公开(公告)日：2023-08-15

申请号：US16972238

申请日：2019-05-13

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Yasunori Oishi ,  Takahito Kawanishi ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： G06Q30/00 ,  G06Q30/0272 ,  G10L15/18 ,  H04N21/234 ,  H04N21/439

CPC分类号： G06Q30/0272 ,  G10L15/1815 ,  H04N21/23418 ,  H04N21/23424 ,  H04N21/4394

摘要： The present invention enables detection of a sponsorship credit display segment in a broadcast program with higher precision. A sponsorship credit display detection device 100 according to the present invention includes: a related phrase storage unit 120 that stores related phrases included in announcement of a sponsorship credit display and related to the sponsorship credit display, in association with estimation periods; a voice recognition unit 140 that performs voice recognition on an audio signal of the broadcast program; a related phrase detection unit 150 that detects a stored related phrase from results of the voice recognition; a sponsorship credit display segment estimation unit 160 that, using an appearance time of the detected related phrase as a start point, estimates a period corresponding to the estimation period stored in association with the detected related phrase as a sponsorship credit display segment; and a detection unit 170 that, among estimated sponsorship credit display segments, detects a segment that continues for at least a predetermined time period as a sponsorship credit display segment.

公开(公告)号：US12131253B2

公开(公告)日：2024-10-29

申请号：US16609667

申请日：2018-05-01

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Takuhiro Kaneko ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： G06N3/08 ,  G06N3/045 ,  G06N3/047 ,  G06N20/20 ,  G06T7/00 ,  G06T11/00

CPC分类号： G06N3/08 ,  G06N3/045 ,  G06N20/20 ,  G06T7/00 ,  G06T11/00 ,  G06N3/047

摘要： A signal generation device includes a variable generation unit and a signal generation unit. The variable generation unit generates a plurality of latent variables corresponding to a plurality of features of a signal. The signal generation unit inputs, to at least one neural network learned in advance, a latent variable representing attributes obtained by converting a part of the plurality of latent variables by an attribute vector representing attributes of a signal to be generated and the other part of the plurality of latent variables representing an identity and generates the signal to be generated using the at least one neural network.

公开(公告)号：US12099914B2

公开(公告)日：2024-09-24

申请号：US17051734

申请日：2019-04-23

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Chihiro Watanabe ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： G06N3/04 ,  G06F18/21

CPC分类号： G06N3/04 ,  G06F18/21

摘要： It is possible to analyze what type of input/output mapping is mainly performed in the entire hidden layer of a neural network. A relationship analysis unit 30 calculates strength of a relationship of each combination of a dimension of the input data and a unit of the neural network and calculates strength of a relationship of each combination of the unit and a dimension of the output data. A role analysis unit 32 calculates a relationship between a prescribed number of types of roles and the unit and a relationship between the prescribed number of types of roles, the dimension of the input data, and the dimension of the output data on the basis of the strength of the relationship of each combination of the dimension of the input data and the unit of the neural network and the strength of the relationship of each combination of the unit and the dimension of the output data.

公开(公告)号：US12028573B2

公开(公告)日：2024-07-02

申请号：US15734864

申请日：2019-05-13

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Yasunori Oishi ,  Takahito Kawanishi ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： H04N21/44 ,  G06F18/214 ,  G06N5/04 ,  G06N20/00 ,  G06V10/44 ,  G06V10/82 ,  G06V20/40 ,  H04N21/433

CPC分类号： H04N21/44008 ,  G06F18/214 ,  G06N5/04 ,  G06N20/00 ,  G06V10/454 ,  G06V10/82 ,  G06V20/46 ,  H04N21/433 ,  G06V20/44 ,  G06V2201/02

摘要： The present invention enables detection of a sponsorship credit display in a broadcast program with higher precision. A sponsorship credit display detection device 100 according to the present invention includes: a learning data creation unit 140 that creates, as learning data, from a broadcast program in which the sponsorship credit display has been detected, a still image where the sponsorship credit display is displayed and a still image where the sponsorship credit display is not displayed; a learning unit 150 that uses the learning data created by the learning data creation unit 140 to learn a parameter to be applied to a detection model for detecting a sponsorship credit display in a broadcast program; and a sponsorship credit display detection unit 170 that uses the detection model to which the parameter learned by the learning unit 150 has been applied to detect a sponsorship credit display in a recognition target broadcast program.

公开(公告)号：US11748619B2

公开(公告)日：2023-09-05

申请号：US17251686

申请日：2019-06-14

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Xiaomeng Wu ,  Go Irie ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： G06N3/08 ,  G06F18/214 ,  G06F18/2413 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

CPC分类号： G06N3/08 ,  G06F18/214 ,  G06F18/2413 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

摘要： The purpose of the present invention is to enable learning of a neural network for extracting features of images having high robustness from an undiscriminating image region while minimizing the number of parameters of a pooling layer. A parameter learning unit 130 learns parameters of each layer in a convolutional neural network configured by including a fully convolutional layer for performing convolution of an input image to output a feature tensor of the input image, a weighting matrix estimation layer for estimating a weighting matrix indicating a weighting of each element of the feature tensor, and a pooling layer for extracting a feature vector of the input image based on the feature tensor and the weighting matrix. The parameter learning unit 130 learns the parameters such that a loss function value obtained by calculating a loss function expressed by using a distance between a first feature vector of a first image and a second feature vector of a second image, which are relevant images and are obtained by applying the convolutional neural network, becomes smaller.

公开(公告)号：US11405997B2

公开(公告)日：2022-08-02

申请号：US17057456

申请日：2019-05-23

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Masaru Tsuchida ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： H05B47/10 ,  H05B45/20 ,  H05B47/165

摘要： The chroma of a specific color can be emphasized with respect to an object without affecting the color of illumination light. An illumination light generator generates illumination light to be radiated to the object by adding or subtracting, to or from a reference illumination light spectrum that is an illumination spectrum serving as a reference, an element spectrum in accordance with designated conditions with respect to chroma adjustment from among a plurality of element spectra that are spectra for being added or subtracted to or from the reference illumination light spectrum and for performing chroma emphasis of a specific color without affecting an illumination light color.

公开(公告)号：US12079728B2

公开(公告)日：2024-09-03

申请号：US16980380

申请日：2019-03-07

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Chihiro Watanabe ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： G06F18/21 ,  G06F18/23 ,  G06N3/084 ,  G06V30/182 ,  G06V30/19 ,  G06V30/10

CPC分类号： G06N3/084 ,  G06F18/217 ,  G06F18/23 ,  G06V30/1823 ,  G06V30/19173 ,  G06V30/10

摘要： The present invention enables the structure of a neural network to be quantitatively analyzed. An analyzing unit calculates, for each of combinations of a dimension of input data and a cluster, a sum of squared errors between an output of each unit belonging to the cluster when a value of the dimension of the input data is replaced with an average value of the dimension of the input data included in learning data and an output of each unit belonging to the cluster for the input data before replacement as a relationship between the combinations, and calculates, for each of combinations of the cluster and a dimension of output data, a squared error between the value of the dimension of the output data when an output value of each unit belonging to the cluster is replaced with an average output value of each unit of the cluster when the input data included in the learning data was input and the value of the dimension of the output data before replacement as a relationship between the combinations.

公开(公告)号：US11615611B2

公开(公告)日：2023-03-28

申请号：US16609681

申请日：2018-05-01

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Takuhiro Kaneko ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： G06V10/75 ,  G06K9/62 ,  G06V10/82 ,  G06N3/04 ,  G06F16/535 ,  G06N3/08 ,  G06V40/16

摘要： A signal retrieval device includes a modification unit and a signal retrieval unit. The modification unit modifies a value of an attribute of a target represented by an input signal or a stored signals stored in a signal storage unit or a value of an attribute relating to a signal generation source of the input signal to acquire a plurality of modified values of the attribute. The signal retrieval unit retrieves a stored signal of the stored signals similar to the input signal using the input signal or the stored signals in which the attribute is modified according to each of the plurality of modified values of the attribute acquired by the modification unit.

公开(公告)号：US11615132B2

公开(公告)日：2023-03-28

申请号：US17260540

申请日：2019-07-08

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Go Irie ,  Kaoru Hiramatsu ,  Kunio Kashino ,  Kiyoharu Aizawa

IPC分类号： G06F16/00 ,  G06F16/45 ,  G06F16/438 ,  G06K9/62 ,  G06V10/75

摘要： Low-dimensional feature values with which semantic factors of content are ascertained are generated from relevance between sets of two types of content.
Based on a relation indicator indicating a pair of groups indicating which groups are related to first types of content groups among second types of content groups, an initial feature value extracting unit 11 extracts initial feature values of the first type of content and the second type of content. A content pair selecting unit 12 selects a content pair by selecting one first type of content and one second type of content from each pair of groups indicated by the relation indicator. A feature value conversion function generating unit 13 generates feature conversion functions 31 of converting the initial feature values into low-dimensional feature values based on the content pair selected from each pair of groups.

公开(公告)号：US11368762B2

公开(公告)日：2022-06-21

申请号：US15734807

申请日：2019-06-03

申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

发明人： Yasunori Oishi ,  Takahito Kawanishi ,  Kaoru Hiramatsu ,  Kunio Kashino

IPC分类号： H04N21/81 ,  H04N21/24

摘要： A CM section within a broadcast program is detected with high accuracy. A CM section detection device 100 includes: a CM section detection unit 120 that detects one or more CM sections by comparing a volume of a broadcast program with a volume threshold, and generates detected CM sections representing the CM sections that have been detected; and a CM section correction unit 140 that corrects the detected CM sections based on a sponsorship credit display section that is a section which is included in the broadcast program and in which a sponsorship credit indicating a sponsor of the broadcast program is displayed.