Kabushiki Kaisha Toshiba

Toshiba Digital Solutions Corporation

Hidetaka Ohira

Masashi Nishiyama

Masahiro Sekine

Ryuzo Okada

Tsukasa Ike

Toshiaki Nakasu

Kaoru Sugita

Goh Itoh

Yojiro Tonouchi

Yusuke Tazoe

Ryohei Tanaka

Kenji Furukawa

Mayumi Ikeda

Shuta Yanaga

Tomoyuki Shibata

Osamu Yamaguchi

Yasunobu Yamauchi

Yuto Yamaji

Takahiro Arai

Mieko Asano

Toshihiko Manabe

An information processing device, an information processing system, an information processing method, and a program capable of appropriately reducing the amount of information of an image are provided. An information processing device includes an image acquisitor, an information amount reduction degree determiner, and an information amount reducer. The image acquisitor acquires an image acquired by imaging an actual space. The information amount reduction degree determiner determines a degree of reduction of an amount of information on the basis of an attribute of a subject shown in the image. The information amount reducer generates information reduced data acquired by reducing at least a part of the amount of information of the image in accordance with the degree of reduction of the amount of information.

Information processing device, information processing system, information processing method, and program

According to one embodiment, an image-processing apparatus includes an output unit, a tracker, a storage controller, a setter, and an output controller. The tracker tracks a target object in one or more time-series images. The storage controller stores tracking information including a movement trajectory of the object in a predetermined storage. The setter sets a detection region for detecting passing through of the object based on the movement trajectory of the object, on the image, in accordance with a user's operation. An evaluator evaluates a setting mode for the detection region based on the tracking information stored in the predetermined storage and the detection region set by the setter. The output controller outputs the tracking information stored in predetermined storage, from the output unit, in an output mode based on an evaluation result of the evaluator.

Image-processing apparatus, image-processing system, image-processing method, and storage medium

According to one embodiment, an image processing device includes at least one processor. The at least one processor is configured to acquire a first three-dimensional model regarding a subject, set a plurality of first control points on the first three-dimensional model, acquire mesh data of a meshed image of a region of clothing extracted from a captured image, acquire a second three-dimensional model, modify the mesh data based on an amount of movement from each of the plurality of first control points, to each respective one of a plurality of second control points, and generate an image of the clothing using the captured image and the modified mesh data.

Image processing device and image processing method

According to an embodiment, a server includes a first acquiring unit, a second acquiring unit, an analyzing unit, and an output unit. The first acquiring unit is configured to acquire recognition information includes a product identification information for identifying the product. The second acquiring unit is configured to acquire combination information including the product identification information of the product to be combined with an object image including an object. The analyzing unit is configured to calculate product priorities for respective products by analyzing the recognition information and the combination information. The output unit is configured to output information based on the product priorities.

Server, analysis method and computer program product for analyzing recognition information and combination information

A control device includes one or more processors. The processors detect a target captured in an image, and calculate likelihood indicating whether the target is concealed. The processors decide on an output method for outputting the target according to the likelihood. The processors generate a display image based on the image and the decided output method.

Control device, control method, and computer program product

According to an embodiment, an object detection system includes an obtaining unit, an estimating unit, a setting unit, a calculating unit, and a detecting unit. The obtaining unit is configured to obtain an image in which an object is captured. The estimating unit is configured to estimate a condition of the object. The setting unit is configured to set, in the image, a plurality of areas that have at least one of a relative positional relationship altered according to the condition and a shape altered according to the condition. The calculating unit is configured to calculate a feature value of an image covering the areas. The detecting unit is configured to compare the calculated feature value with a feature value of a predetermined registered object, and detect the registered object corresponding to the object.

Object detection system and computer program product

According to an embodiment, an image processing apparatus includes an obtainer, a setter, a first calculator, a second calculator, and a third calculator. The obtainer obtains an image. The setter sets a plurality of first regions and a plurality of second regions on the image. Each of the first regions and the second regions includes two or more pixels, and at least one of the second regions is different in position or size from the first regions. The first calculator calculates first feature data representing an image feature of the first regions. The second calculator calculates second feature data which is a luminance gradient between the second regions. The third calculator calculates relative feature data representing a relative relationship between the first feature data and the second feature data.

Image processing apparatus and method, and computer program product

According to an embodiment, an image processing apparatus includes an acquisition unit, a setting unit, and a calculator. The acquisition unit is configured to acquire an image. The setting unit is configured to set a plurality of sampling points in a sampling area of the image, each sampling point being associated with a calculation area. The calculator is configured to calculate feature values of the image in the calculation area. The setting unit is configured to set the sampling points to provide at least one of an arrangement in which distances between the adjacent sampling points change with distances from a center of the sampling area, and an arrangement in which the sampling points exist on circumferences of a plurality of circles different in diameter.

Image processing apparatus, image processing method, and computer program product

According to an embodiment, an information processing apparatus includes a first image acquisition unit, a first information acquisition unit, a reception unit, a generation unit, and a writing unit. The first image acquisition unit is configured to acquire a first image obtained by imaging by an imaging unit. The first information acquisition unit is configured to acquire any of multiple pieces of information capable of being associated with the first image. The reception unit is configured to receive a first input. The generation unit is configured to associate the first image acquired in the first image acquisition unit with the information piece acquired in the first information acquisition unit to generate an association data piece when the reception unit receives the first input. The writing unit is configured to write the association data piece into a storage unit.

Information processing apparatus, information processing method and computer program product

In an embodiment, a recognition apparatus includes: an obtaining unit configured to obtain positions of a specific part in a coordinate system having a first axis to an n-th axis (n&#x2267;2); a calculating unit configured to calculate a movement vector of the specific part; a principal axis selecting unit configured to select a principal axis; a turning point setting unit configured to set a position at which there is a change in the principal axis, and set a position at which there is a change; a section setting unit configured to set a determination target section, and set a previous section; a determining unit configured to calculate an evaluation value of the determination target section and an evaluation value of the immediately previous section and, determine which of the first axis to the n-th axis is advantageous; and a presenting unit configured to perform the determined result.

Recognition apparatus, method, and computer program product

An appliance control apparatus recognizes image features of an target appliance from an obtained image, calculates a degree of similarity between the image features of the target appliance and image features of a registered appliance, specifies the registered appliance corresponding to the image features in the case where the degree of similarity indicates a high similarity as the target appliance; calls up control information of the specified target appliance, and controls the target appliance.

Appliance control apparatus, method thereof and program therefor

According to one embodiment, an information search apparatus includes a generation unit, a selection unit, a search unit and a display unit. The generation unit generates recognition candidate character strings based on shapes of strokes and combinations of the shapes. The selection unit calculates reliability values for the recognition candidate character strings and selects search keys from the recognition candidate character strings. The search unit searches a database for second character strings including the search keys, and obtains one or more result character strings indicating search results of each of the search keys. The display displays the one or more result character strings corresponding to each of the search keys distinctively.

Information search apparatus and system

In an embodiment, a recognition apparatus includes an obtaining unit, a calculating unit, a principal axis selecting unit, a turning point setting unit, a section setting unit, and a determining unit. The obtaining unit obtains positions of a specific part in a coordinate system having a first axis to an n-th axis (n&#x2267;2). The calculating unit calculates a movement vector of the specific part. The principal axis selecting unit selects a principal axis. The turning point setting unit sets a position at which there is a change in the principal axis and sets a position at which there is a change. The section setting unit sets a determination target section, and sets a previous section. The determining unit calculates an evaluation value of the determination target section and an evaluation value of the immediately previous section and determines which of the first axis to the n-th axis is advantageous.

According to one embodiment, a time series information acquisition unit acquires time series information of a position or a size of a specific part of a user's body. An operation segment detection unit detects a movement direction of the specific part from the time series information, and detects a plurality of operation segments each segmented by two of a start point, a turning point and an end point of the movement direction. A recognition unit specifies a first operation segment to be recognized and a second operation segment following the first operation segment among the plurality of operation segments, and recognizes a motion of the specific part in the first operation segment by using a first feature extracted from the time series information of the first operation segment and a second feature extracted from the time series information of the second operation segment.

Growing community of inventors

Kanagawa, Japan

Hidetaka Ohira