Abstract:
An image generation apparatus and method includes a first imaging circuit that acquires first image data, a second imaging circuit that acquires second image data, a control circuit that searches a region corresponding to the first image data from the second image data, a designating circuit that limits a region in the second image data corresponding to the first image data by a touch operation designating a limited region in the second image data corresponding to the first image data, and a communication circuit that is provided in the second imaging circuit, transmits, upon receipt of an information acquiring operation, information obtained by analyzing the limited region or the corresponding region in the second image data to a server, and receives information relating to the first image data from the server.
Abstract:
A mobile image pickup instruction apparatus judges an image pickup result and an image pickup condition to acquire photographing tendency information showing a tendency of photographing of a predetermined image pickup target, generates target object identification information for identifying the predetermined image pickup target by inference using the photographing tendency information, and transmits the generated target object identification information to the mobile image pickup apparatus and a mobile image pickup apparatus controls an image pickup unit provided on a mobile body to pick up an image of the image pickup target based on the target object identification information received.
Abstract:
An imaging apparatus includes a first imaging unit, a second imaging unit, a designating unit, a control unit, a communication unit, and a reproducing unit. The first imaging unit acquires first image data. The second imaging unit acquires second image data including a region corresponding to the first imaging unit. The designating unit designates a designation region in the first image data. The control unit searches a region corresponding to the designation region in the second image data. The communication unit transmits the region corresponding to the designation region in the second image data to a server. The reproducing unit associates the first image data with a guide information and reproduces the first image data and the guide information.
Abstract:
An image generation apparatus and method includes a first imaging circuit that acquires first image data, a second imaging circuit that acquires second image data, a control circuit that searches a region corresponding to the first image data from the second image data, a designating circuit that limits a region in the second image data corresponding to the first image data by a touch operation designating a limited region in the second image data corresponding to the first image data, and a communication circuit that is provided in the second imaging circuit, transmits, upon receipt of an information acquiring operation, information obtained by analyzing the limited region or the corresponding region in the second image data to a server, and receives information relating to the first image data from the server.
Abstract:
A learning device, comprising a reception circuit that receives requests indicating photographs the user likes from external device, a machine learning processor that extracts images that match the requests and that have received a given evaluation from a third party, from within an image database, performs machine learning using these images that have been extracted, and outputs an inference model, and a transmission circuit that transmits an inference model that has been output from the learning processor to the external device.
Abstract:
An image processing apparatus includes an image acquisition unit, an image recognition unit, a character information acquisition unit, and a communication unit. The image acquisition unit acquires an image. The image recognition unit recognizes image characteristic information acquired by the image acquisition unit. The character information acquisition unit acquires character information from the characteristic information recognized by the image recognition unit. The communication unit communicates the character information acquired by the character information acquisition unit to a guide information retrieval device that retrieves guide information from the character information.
Abstract:
An image processing apparatus includes an image acquisition unit, an image recognition unit, a character information acquisition unit, and a communication unit. The image acquisition unit acquires an image. The image recognition unit recognizes image characteristic information acquired by the image acquisition unit. The character information acquisition unit acquires character information from the characteristic information recognized by the image recognition unit. The communication unit communicates the character information acquired by the character information acquisition unit to a guide information retrieval device that retrieves guide information from the character information.
Abstract:
An image pickup system includes an input/output modeling section 24, the input/output modeling section 24 creating, as a population, an image group obtained when a specific target is photographed, (access image), and generating an inference model by using, as teacher data, sequential images selected from the image group created as the population, based on whether the specific target can be accessed, wherein each image of the image group is associated with date and time information and/or position information, and the input/output modeling section 24 generates an inference model for determining based on the date and time information and/or the position information whether a process to the specific target is good or bad.
Abstract:
An imaging device, comprising an image sensor that images a shooting target and outputs image data, a memory that stores inference models for performing guidance display or automatic control, when shooting the shooting target, an inference engine that performs inference for the control of the guidance display or automatic control, using the inference model, and a controller that determines whether or not the inference model is suitable for shooting a shooting target that the user wants, and if it is determined that the inference model is not suitable for shooting, requests generation of an inference model that is suitable for a shooting target the user wants to an external learning device.
Abstract:
A learning device, comprising a reception circuit that receives requests indicating photographs the user likes from external device, a machine learning processor that extracts images that match the requests and that have received a given evaluation from a third party, from within an image database, performs machine learning using these images that have been extracted, and outputs an inference model, and a transmission circuit that transmits an inference model that has been output from the learning processor to the external device.