Abstract: An information processing apparatus includes a reception unit configured to receive an input specifying a position of a detection target included in an image, an acquisition unit configured to acquire a storage amount of training data including a pair of information indicating the image and information indicating the position specified by the input, a training unit configured to train a training model to detect the detection target from the image based on the stored training data, and a display control unit configured to control a display unit to display the storage amount, and a reference amount of the training data set as an amount of the training data necessary for the training unit to train the training model, in a comparable way.

Abstract: A data processing apparatus includes a storage unit configured to store reference data of a filter operation and coefficient data of filters, a plurality of operators configured to parallelly perform the filter operation on the reference data and the coefficient data of the filters, a first supply unit configured to supply reference data transferred from the storage unit to the plurality of operators, a second supply unit configured to supply coefficient data of a first and second filters transferred from the storage unit to the plurality of operators, and a control unit configured to control the second supply unit to supply the coefficient data of the first filter to a first operator, and supply the coefficient data of the second filter to a second operator.

Abstract: An image sensing device is provided. The device comprises pixels including a first pixel which belongs to a first row and a first column, a second pixel which belongs to a second row and the first column and a third pixel which belongs to the second row and a second column, and readout units including a first readout circuit connected to the first and second pixels and a second readout circuit connected to the third pixel. The device performs a first operation and a second operation after the first operation. In the first operation, signal readout from the first and third pixels are performed. In the second operation, signal readout from the second pixel is performed. A controller determines, based on the signal generated by the first operation, a control parameter using to control the second operation.

Abstract: An image sensing device is provided. The device comprises pixels including a first pixel which belongs to a first row and a first column, a second pixel which belongs to a second row and the first column and a third pixel which belongs to the second row and a second column, and readout units including a first readout circuit connected to the first and second pixels and a second readout circuit connected to the third pixel. The device performs a first operation and a second operation after the first operation. In the first operation, signal readout from the first and third pixels are performed. In the second operation, signal readout from the second pixel is performed. A controller determines, based on the signal generated by the first operation, a control parameter using to control the second operation.

Abstract: An information processing apparatus includes a reception unit configured to receive an input specifying a position of a detection target included in an image, an acquisition unit configured to acquire a storage amount of training data including a pair of information indicating the image and information indicating the position specified by the input, a training unit configured to train a training model to detect the detection target from the image based on the stored training data, and a display control unit configured to control a display unit to display the storage amount, and a reference amount of the training data set as an amount of the training data necessary for the training unit to train the training model, in a comparable way.

Abstract: A data processing apparatus includes a storage unit configured to store reference data of a filter operation and coefficient data of filters, a plurality of operators configured to parallelly perform the filter operation on the reference data and the coefficient data of the filters, a first supply unit configured to supply reference data transferred from the storage unit to the plurality of operators, a second supply unit configured to supply coefficient data of a first and second filters transferred from the storage unit to the plurality of operators, and a control unit configured to control the second supply unit to supply the coefficient data of the first filter to a first operator, and supply the coefficient data of the second filter to a second operator.

Abstract: An object detection apparatus first sets a first partial region having a preset size and a second partial region in a given point (pixel) in an input image. In addition, the object detection apparatus calculates a first information amount in the second partial region, and sets a third partial region based on the size of the first information amount. Furthermore, the object detection apparatus calculates a score based on a salience degree that is based on a difference in statistical feature amount distribution between the first partial region and the second partial region, and based on an information amount of feature amount in the third partial region. Lastly, the object detection apparatus detects a main object by calculating scores on the respective points in the image and applying a predetermined statistical process to the scores.

Abstract: A data processing apparatus includes a storage unit configured to store reference data of a filter operation and coefficient data of filters, a plurality of operators configured to parallelly perform the filter operation on the reference data and the coefficient data of the filters, a first supply unit configured to supply reference data transferred from the storage unit to the plurality of operators, a second supply unit configured to supply coefficient data of a first and second filters transferred from the storage unit to the plurality of operators, and a control unit configured to control the second supply unit to supply the coefficient data of the first filter to a first operator, and supply the coefficient data of the second filter to a second operator.

Abstract: To enable a response to an urgent call-out caused by a failure occurrence, the degree of an occurrence of a failure in each of a plurality of apparatuses installed at different locations is predicted and a visit plan of each of a plurality of servicemen is created based on a prediction result.

Abstract: To enable efficient learning a neural network in an adaptive domain, a learning apparatus for learning a multilayer neural network (multilayer NN), comprises: a first learning unit configured to learn a first multilayer NN by using a first data group; a first generation unit configured to generate a second multilayer NN by inserting a conversion unit for performing predetermined processing between a first layer and a second layer following the first layer in the first multilayer NN; and a second learning unit configured to learn the second multilayer NN by using a second data group different in characteristic from the first data group.

Abstract: To present a determination result with respect to input data and also a reason of the determination result to a user, an extraction unit configured to extract a plurality of feature amounts from an image including an inspection target object, a determination unit configured to determine an anomaly degree of the inspection target object on the basis of the extracted feature amounts, and an image generation unit configured to generate a defect display image representing a defect included in the inspection target object on the basis of contribution degrees of the respective feature amounts with respect to the determined anomaly degree are provided.

Abstract: A video processing apparatus includes an acquisition unit configured to acquire a video image, an object extraction unit configured to extract a plurality of predetermined objects from the video image, a selection unit configured to select a target object to be an observation target from the plurality of predetermined objects, an evaluation unit configured to evaluate association about time and position information between the target object and an object other than the target object among the plurality of predetermined objects, a determination unit configured to determine a display manner of the plurality of predetermined objects based on the association, and a display unit configured to generate and display an image of the plurality of predetermined objects in the display manner.

Abstract: An image sensing device is provided. The device comprises pixels including a first pixel which belongs to a first row and a first column, a second pixel which belongs to a second row and the first column and a third pixel which belongs to the second row and a second column, and readout units including a first readout circuit connected to the first and second pixels and a second readout circuit connected to the third pixel. The device performs a first operation and a second operation after the first operation. In the first operation, signal readout from the first and third pixels are performed. In the second operation, signal readout from the second pixel is performed. A controller determines, based on the signal generated by the first operation, a control parameter using to control the second operation.

Abstract: There is provided with a convolution operation apparatus. A first product-sum calculator includes a plurality of first multipliers, a plurality of first accumulators, a first data supplier which supplies first data to the plurality of first multipliers, and a second data supplier which supplies a plurality of second data to the plurality of first multipliers. A second product-sum calculator includes a plurality of second multipliers, a plurality of second accumulators, a third data supplier which supplies third data to the plurality of second multipliers, and a fourth data supplier which receives and holds an output from each of the plurality of first accumulators and supply the outputs as fourth data to a corresponding one of the plurality of second multipliers.

Abstract: The accuracy of estimating the category of an object in an image and its region is improved. The present invention detects as to whether each of a plural types of objects is included in an object image, forms a plurality of local regions in a region including the object detected, and calculates a feature quantity of the plurality of local regions formed. Furthermore, the present invention selects a discriminant criterion adapted to the type of the object detected, from a plurality of discriminant criteria for discriminating the plural types of objects, and determines, based on the discriminant criterion selected and the feature quantity calculated, a region of the object detected from the plurality of local regions.

Abstract: An image processing apparatus, an image processing method, and a recording medium realize identification of an object region and a region category with high precision, estimate a relationship between partial regions in an acquired image by using a database about relationships between the images, and determine a target region in the acquired image based on the relationship.

Abstract: A data processing apparatus includes a storage unit configured to store reference data of a filter operation and coefficient data of filters, a plurality of operators configured to parallelly perform the filter operation on the reference data and the coefficient data of the filters, a first supply unit configured to supply reference data transferred from the storage unit to the plurality of operators, a second supply unit configured to supply coefficient data of a first and second filters transferred from the storage unit to the plurality of operators, and a control unit configured to control the second supply unit to supply the coefficient data of the first filter to a first operator, and supply the coefficient data of the second filter to a second operator.

Abstract: To present a determination result with respect to input data and also a reason of the determination result to a user, an extraction unit configured to extract a plurality of feature amounts from an image including an inspection target object, a determination unit configured to determine an anomaly degree of the inspection target object on the basis of the extracted feature amounts, and an image generation unit configured to generate a defect display image representing a defect included in the inspection target object on the basis of contribution degrees of the respective feature amounts with respect to the determined anomaly degree are provided.

Abstract: A first arithmetic apparatus performs an arithmetic process, out of a plurality of arithmetic processes in identification processing on an input image, in which the parameter amount that is used is small compared to an amount of data to which the parameters are applied. A second arithmetic apparatus performs an arithmetic process, out of the plurality of arithmetic processes, in which the parameter amount that is used is large compared to an amount of data to which the parameters are applied. The second arithmetic apparatus can use a larger memory capacity memory than the first arithmetic apparatus.

Abstract: A recognition apparatus according to an embodiment of the present invention includes: a candidate region extraction unit configured to extract a subject candidate region from an image; a feature value extraction unit configured to extract a feature value related to an attribute of the image from the subject candidate region extracted by the candidate region extraction unit; an attribute determination unit configured to determine an attribute of the subject candidate region extracted by the candidate region extraction unit on the basis of the feature value extracted by the feature value extraction unit; and a determination result integration unit configured to identify an attribute of the image by integrating determination results of the attribute determination unit.