Abstract: A store supporting system includes an estimation unit and an output unit. The estimation unit is configured to estimate, based on a learned model, a management index by using at least operation information as input information. The operation information is information on operation of a target store which is a specific store. The management index is an index relating to management of the target store. The learned model is generated by machine learning with data, as training data, including information on operation of a store and an index relating to management of the store. The output unit is configured to obtain, based on a result of estimation by the estimation unit, recommendation information and output the recommendation information. The recommendation information is information relating to the operation of the target store and is recommendable for the target store.

Abstract: A collection unit of this demand prediction system collects a plurality of event information that have current or future events and location information indicating locations of the events. An extraction unit extracts event information indicating the event in a predetermined range, which includes the location of a shop from the plurality of event information collected by the collection unit based on the location information. A prediction unit predicts a demand of goods varying at the shop according to the event indicated by the event information extracted by the extraction unit, based on actual result information on a past event corresponding to the event indicated by the event information extracted by the extraction unit. An output unit outputs demand prediction information indicating the demand of goods predicted by the prediction unit.

Abstract: A recognition system includes a recognition processing unit and a determining processor. The recognition processing unit is configured to recognize a state in a container which allows one or more goods to be put in. The determining processor is configured to determine, based on a recognition result by the recognition processing unit in a transfer operation, whether or not the transfer operation is normal. The transfer operation is an operation of transferring each of the one or more goods from the container into a bag (different container) by a movement mechanism (a support, a guide section, and an elevator unit) configured to move each of the one or more goods.

Abstract: A candidate site evaluation system includes: an evaluator that evaluates suitability of a candidate site in a target area based on a candidate site evaluation model and a second map, the candidate site evaluation model being obtained as a result of machine learning using a first map that shows any area and position information indicating locations of one or more existing facilities of a predetermined business type in the any area and being for evaluating the candidate site for opening a facility of the predetermined business type, the second map showing the target area including the candidate site to be evaluated; and an output unit that outputs a result of the evaluation.

Abstract: A video receiving apparatus includes a receiver, a first display, an extractor, an information forming controller, a number-of-viewer detector, a communicator, and a display controller, leading to appropriate display of configuration information and associated information of a video content. The extractor extracts a partial content from the video content. The information forming controller forms the configuration information from the partial content. The number-of-viewer detector detects the number of viewers present within a predetermined area. The communicator receives an identifier transmitted from a mobile terminal having a second display. The display controller can selectively display the configuration information on the second display of the mobile terminal identified by the identifier, and displays the configuration information on at least one of the first and second displays based on the number of the viewers and the number of the identifiers.

Abstract: A video receiving apparatus includes: a receiving unit which receives video content; an extracting unit which extracts a partial content which is a portion of the video content by analyzing the video content, to obtain a feature of the partial content item, the feature being characteristic within the video content; an information generating unit which generates a composition information item indicating the partial content item and including at least one of a character and an image; a priority setting unit which sets a priority of the composition information item based on the feature obtained from the partial content item, the priority indicating a degree of association between the video content and the composition information item; and a display control unit which controls display of the composition information item on a display screen according to the priority of the composition information item set by the priority setting unit.

Abstract: The image processing device includes: a first motion vector detecting section detects a first motion vector indicating a motion from a subsequent frame to the target frame; a second motion vector detecting section detects a second motion vector indicating a motion from a previous frame to the target frame; a first moved image generating section generates data of a first moved image based on data of the subsequent frame and the first motion vector; a second moved image generating section generates data of a second moved image based on data of the previous frame and the second motion vector; and a corrected image generating section generates data of a corrected image, based on data of the target frame, and the data of the first and the second moved images.

Abstract: A video receiving apparatus includes a receiver, a first display, an extractor, an information forming controller, a number-of-viewer detector, a communicator, and a display controller, leading to appropriate display of configuration information and associated information of a video content. The extractor extracts a partial content from the video content. The information forming controller forms the configuration information from the partial content. The number-of-viewer detector detects the number of viewers present within a predetermined area. The communicator receives an identifier transmitted from a mobile terminal having a second display. The display controller can selectively display the configuration information on the second display of the mobile terminal identified by the identifier, and displays the configuration information on at least one of the first and second displays based on the number of the viewers and the number of the identifiers.

Abstract: A video receiving apparatus includes: a receiving unit which receives video content; an extracting unit which extracts a partial content which is a portion of the video content by analyzing the video content, to obtain a feature of the partial content item, the feature being characteristic within the video content; an information generating unit which generates a composition information item indicating the partial content item and including at least one of a character and an image; a priority setting unit which sets a priority of the composition information item based on the feature obtained from the partial content item, the priority indicating a degree of association between the video content and the composition information item; and a display control unit which controls display of the composition information item on a display screen according to the priority of the composition information item set by the priority setting unit.

Abstract: The present invention has an object to provide an image processing apparatus and an image processing method capable of, when reducing a blur in an input image, (i) reducing noise included in the input image and (ii) restraining degradation of the image caused by noise processing from being emphasized by image restoration processing. An image processing apparatus (100) for reducing a blur in an input image includes: a noise processing unit (10) which performs noise processing that reduces noise to the input image, to generate a noise-processed image; and a restoration processing unit (20) which performs image restoration processing that reduces a blur to the noise-processed image, the noise processing unit (10) performing the noise processing based on a characteristic of the image restoration processing.

Abstract: The present invention has an object to provide an image processing apparatus and an image processing method capable of, when reducing a blur in an input image, (i) reducing noise included in the input image and (ii) restraining degradation of the image caused by noise processing from being emphasized by image restoration processing. An image processing apparatus (100) for reducing a blur in an input image includes: a noise processing unit (10) which performs noise processing that reduces noise to the input image, to generate a noise-processed image; and a restoration processing unit (20) which performs image restoration processing that reduces a blur to the noise-processed image, the noise processing unit (10) performing the noise processing based on a characteristic of the image restoration processing.

Abstract: An image processing device (10) removes noise from an input image by adding the input image to a reference image, and includes: a motion estimation unit (1) which generates motion information for each of blocks of the input image; a motion compensation unit (3) which generates a motion-compensated reference image; a block distortion amount calculation unit (5) which calculates a block distortion amount for each of blocks of the motion-compensated reference image; an addition ratio calculation unit (6) which calculates an addition ratio of a block of the motion-compensated reference image so that the addition ratio decreases as the block distortion increases; and an addition unit (4) which perform weighted sum on a pixel value of the block of the motion-compensated reference image and a pixel value of a block of the input image, using the addition ratio.

Abstract: Even in the case where a positional misalignment occurs to an embedded digital watermark, watermark information is accurately detected. A digital watermark embedding device includes a block dividing section for dividing digital data into a plurality of blocks each having a predetermined size, and a block selecting section for selecting m blocks (m is an integer no less than 2) from the plurality of the blocks in accordance with a predetermined order. The device further includes an additional pattern setting section for setting a combination of m additional patterns which are selected from a plurality types of additional patterns, the combination corresponding to one data element to be embedded into the selected m blocks, and an additional pattern embedding section for embedding each of the set additional patterns into each of the selected blocks.

Abstract: An image processing device (10) removes noise from an input image by adding the input image to a reference image, and includes: a motion estimation unit (1) which generates motion information for each of blocks of the input image; a motion compensation unit (3) which generates a motion-compensated reference image; a block distortion amount calculation unit (5) which calculates a block distortion amount for each of blocks of the motion-compensated reference image; an addition ratio calculation unit (6) which calculates an addition ratio of a block of the motion-compensated reference image so that the addition ratio decreases as the block distortion increases; and an addition unit (4) which perform weighted sum on a pixel value of the block of the motion-compensated reference image and a pixel value of a block of the input image, using the addition ratio.

Abstract: Information embedding is performed by extracting vertices constituting a polygon from vector data, and changing a number of points that exist on sides of the polygon based on embedment information. Further, information reading is performed by extracting points existing on the sides of the polygon from the embedment information and embedded vector data, and by reading the embedment information according to a predetermined rule.

Abstract: An information-detecting apparatus (1) including a receiving unit (3) operable to receive digital data (2) that includes several pieces of element data, in which a change amount is imparted to a value of each of first and second element data among the several pieces of element data, a first selecting unit (4) operable to select, as target data (6), a data set that includes the first and second element data, a second selecting unit (5) operable to select, as neighboring data (7), element data in proximity to each of the first and second element data, a calculating unit (8) operable to calculate, based on both of the target data (6) and the neighboring data (7), the change amount imparted to each of the first and second element data, and a detecting unit (10) operable to detect the additional information in accordance with the change amount.

Abstract: A bit stream is decoded to generate first quantized DCT-coefficients. The first quantized DCT-coefficients are inversely quantized using a first quantization table, thereby generating DCT-coefficients. The resulting DCT-coefficients are quantized using a second quantization table, thereby generating second quantized DCT-coefficients. Elements in the second quantization table are smaller in value than those in the first quantization table. Predetermined additional information is embedded into the second quantized DCT-coefficients. The second quantized DCT-coefficients having the additional information embedded therein are encoded to produce a bit stream having the additional information embedded therein. The second quantization table is set to be smaller in value than the first quantization table.

Abstract: An electronic watermark technique which allows precise detection of electronic watermark information from image having any size is provided. In an electronic watermark embedding device 100, an image size obtaining section 101 obtains an image size. A block size determination section 102 defines an area formed of a plurality of pixels as a block, and calculates a size of the block based on the image size. An embedding section 103 embeds the electronic watermark in units of the block of the calculated size. In an electronic watermark detection device 700, an image size obtaining section 701 obtains an image size of image data in which the electronic watermark is embedded. A detection filter producing section 702 calculates a size of a detection filter based on the image size. A detection section 703 detects the electronic watermark using correlation between the detection filter having the calculated size and the image data.

Abstract: An information-detecting apparatus (1) including a receiving unit (3) operable to receive digital data (2) that includes several pieces of element data, in which a change amount is imparted to a value of each of first and second element data among the several pieces of element data, a first selecting unit (4) operable to select, as target data (6), a data set that includes the first and second element data, a second selecting unit (5) operable to select, as neighboring data (7), element data in proximity to each of the first and second element data, a calculating unit (8) operable to calculate, based on both of the target data (6) and the neighboring data (7), the change amount imparted to each of the first and second element data, and a detecting unit (10) operable to detect the additional information in accordance with the change amount.

Abstract: Even in the case where a positional misalignment occurs to an embedded digital watermark, accurate detection of watermark information is provided. A digital watermark embedding device includes: a block dividing section (101) for dividing digital data into a plurality of blocks each having a predetermined size; a block selecting section (102) for selecting m blocks (m is an integer no less than 2) from the plurality of the blocks in accordance with a predetermined order; an additional pattern setting section (103) for setting a combination of m additional patterns which are selected from a plurality types of additional patterns, the combination corresponding to one data element to be embedded into the selected m blocks; and an additional pattern embedding section (104) for embedding each of the set additional patterns into each of the selected blocks.