Abstract: A video super-resolution device includes a down-sampler, video super-resolvers, and a selecting/averaging unit. The down-sampler divides an input low-resolution video into a plurality of frame rates. The video super-resolvers are video super-resolvers trained at different frame rates, and perform super-resolution of the low-resolution video. The selecting/averaging unit selects a video super-resolver according to the magnitude of an optical flow obtained as a result of video super-resolution. Specifically, in a case where the optical flow has a value smaller than 0.5 pixels, the selecting/averaging unit makes selection such as not adopting a result of video super-resolution at a high frame rate. Finally, the selecting/averaging unit obtains a mean value of the selected video super-resolution result, and outputs a final high-resolution video.

Abstract: A heart rate information concealed video transmission device includes a transmitter and a receiver. The transmitter compresses an input video and transmits the compressed video to a network, and the receiver decodes a received compressed stream, and attempts heart rate estimation by rPPG and generation of a biometric identifier. In order to invalidate heart rate estimation by a biological information processor, a corrected video generator outputs a corrected video in which small temporal variation of the input video is suppressed.

Abstract: A system for transmitting data via a network with a transmission latency includes: a transmitting device configured to sequentially transmit data; a data prediction device configured to predict future data after a lapse of a prediction time equivalent to a latency time on a transmission line of the network based on time-series data in a given period transmitted from the transmitting device, using a prescribed prediction method, and transmit the future data; and a receiving device configured to receive the future data.

Abstract: A system for transmitting data via a network with a transmission latency includes: a transmitting device configured to sequentially transmit data; a data prediction device configured to predict future data after a lapse of a prediction time equivalent to a latency time on a transmission line of the network based on time-series data in a given period transmitted from the transmitting device, using a prescribed prediction method, and transmit the future data; and a receiving device configured to receive the future data.

Abstract: An information processing apparatus includes: a processor configured to: partition an image of a structure into regions; detect, for target regions each including crack points among the regions, a representative line segment representing the crack points included in each target region as a basic line segment for each target region; generate, based on basic line segments whose end points are close to each other among the detected basic line segments, a tree structure having an end point of a specific basic line segment as a root; and detect, among routes in the generated tree structure, routes from a top to a bottom of the tree structure corresponding to a basic line segment group in which values indicating degrees of coupling probability between the basic line segments are highest and a total length of the basic line segments coupled is longest, as a stroke corresponding to crack lines.

Abstract: An information processing apparatus includes: a processor configured to: partition an image of a structure into regions; detect, for target regions each including crack points among the regions, a representative line segment representing the crack points included in each target region as a basic line segment for each target region; generate, based on basic line segments whose end points are close to each other among the detected basic line segments, a tree structure having an end point of a specific basic line segment as a root; and detect, among routes in the generated tree structure, routes from a top to a bottom of the tree structure corresponding to a basic line segment group in which values indicating degrees of coupling probability between the basic line segments are highest and a total length of the basic line segments coupled is longest, as a stroke corresponding to crack lines.

Abstract: A method includes: extracting a first line segment pair including a combination of line segments selected from a plurality of line segments included in an image of a form to be recognized; calculating a first feature amount which represents a relationship between the line segments in the extracted first line segment pair; extracting a candidate for a form identifier of the form to be recognized based at least on the calculated first feature amount and a second feature amount in line segments in a second line segment pair correlated with a form identifier which is registered in advance; extracting corresponding line segment pairs which include a line segment correlated with the candidate for the form identifier and a line segment of the form to be recognized; and specifying the form identifier of the form to be recognized based at least on the degree of overlapping.

Abstract: A terminal device includes a processor that executes a process including extracting multiple character strings, in units of rows, from a character area included in an image data, determining whether a subsequent row succeeding a designated row exists when the designation of a position of one of the multiple character strings in the designated row is released, and enlarging and displaying a character string of a beginning of the subsequent row and the vicinity of the beginning when the subsequent row is determined to exist.

Abstract: A terminal device includes a processor that executes a process including extracting multiple character strings, in units of rows, from a character area included in an image data, and enlarging and displaying one of the extracted plurality of character strings in a designated position of a designated row and the vicinity of the designated position.

Abstract: A method includes: extracting a first line segment pair including a combination of line segments selected from a plurality of line segments included in an image of a form to be recognized; calculating a first feature amount which represents a relationship between the line segments in the extracted first line segment pair; extracting a candidate for a form identifier of the form to be recognized based at least on the calculated first feature amount and a second feature amount in line segments in a second line segment pair correlated with a form identifier which is registered in advance; extracting corresponding line segment pairs which include a line segment correlated with the candidate for the form identifier and a line segment of the form to be recognized; and specifying the form identifier of the form to be recognized based at least on the degree of overlapping.

Abstract: A color chart detection apparatus that detects a color chart from an image representing the color chart having a plurality of palettes arranged in a predefined order is provided. The color chart detection apparatus: extracts any pixel having a color component corresponding to each designated one of a predetermined number of palettes; selects at least three palettes to form a first group and, when a combination of pixels selected on a palette-by-palette basis from among the pixels extracted for the respective palettes included in the first group is arranged in the predefined order, detects each of the pixels included in the combination as being a candidate pixel; and based on the candidate pixel, computes color information representing color of the palette corresponding to the candidate pixel on the image and position information representing position of the corresponding palette on the image.

Abstract: A subject tracking device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, detecting at least one subject candidate area in which it is probable that a tracking target subject appears on an image that is received from an imaging unit; calculating a degree of blur of the subject candidate area for each of the subject candidate areas; determining that the subject appears in a subject candidate area having a degree of blur in accordance with a moving speed of the subject, out of the subject candidate areas; and deciding movement of the subject depending on a movement direction from an area in which the subject appears on a previous image that is captured by the imaging unit before capturing the image, to the subject candidate area in which the subject appears on the image.

Abstract: A terminal device includes a processor that executes a process including extracting multiple character strings, in units of rows, from a character area included in an image data, and enlarging and displaying one of the extracted plurality of character strings in a designated position of a designated row and the vicinity of the designated position.

Abstract: A terminal device includes a processor that executes a process including extracting multiple character strings, in units of rows, from a character area included in an image data, determining whether a subsequent row succeeding a designated row exists when the designation of a position of one of the multiple character strings in the designated row is released, and enlarging and displaying a character string of a beginning of the subsequent row and the vicinity of the beginning when the subsequent row is determined to exist.

Abstract: A terminal device includes a display unit; a memory; and a processor. The processor is configured to extract one or more strings from a character area included in image data by units of lines; to determine whether a position specified in a specified line among the strings extracted by units of lines has been moved by a first threshold or greater in a first axis direction that represents a line direction; and to enlarge and display, if it has been determined that the position in the first axis direction has been moved by the first threshold or greater, a string at and around a position in the first axis direction in the specified line.

Abstract: A signal processing device includes: a memory; and a processor coupled to the memory and configured to: detect a second feature value relating to a first feature value recognized to satisfy a recognition condition, from a second time series prior to a first time series of the first feature value in a times series of a feature value corresponding to an input signal, and change the recognition condition so that the second feature value is recognized as a class for recognizing the first feature value.

Abstract: A color chart detection apparatus that detects a color chart from an image representing the color chart having a plurality of palettes arranged in a predefined order is provided. The color chart detection apparatus: extracts any pixel having a color component corresponding to each designated one of a predetermined number of palettes; selects at least three palettes to form a first group and, when a combination of pixels selected on a palette-by-palette basis from among the pixels extracted for the respective palettes included in the first group is arranged in the predefined order, detects each of the pixels included in the combination as being a candidate pixel; and based on the candidate pixel, computes color information representing color of the palette corresponding to the candidate pixel on the image and position information representing position of the corresponding palette on the image.

Abstract: An image processing apparatus 10 acquires an image. And, the image processing apparatus 10 extracts a domain characterizing an object of gesture recognition from the acquired image. Then, the image processing apparatus 10 maps domains between frames of the image. And then, the image processing apparatus 10 extracts a moving direction of the domains. And then, the image processing apparatus 10 outputs the moving direction when a moving distance of the domains is greater than a predetermined threshold. And then, the image processing apparatus 10 updates the threshold using a moving distance exceeding the threshold.

Abstract: A signal processing device includes: a memory; and a processor coupled to the memory and configured to: detect a second feature value relating to a first feature value recognized to satisfy a recognition condition, from a second time series prior to a first time series of the first feature value in a times series of a feature value corresponding to an input signal, and change the recognition condition so that the second feature value is recognized as a class for recognizing the first feature value.

Abstract: A signal processing device includes: a memory; and a processor coupled to the memory and configured to: detect a repetition of a feature value from a time series of the feature value corresponding to an input signal, change a recognition condition for recognizing a class for the feature value when the repetition of the feature value is detected.