Abstract: The present disclosure relates to a method and a system for generating secondary tasks for neural networks. The method comprises receiving a feature set related to each of multiple data items, which are generated for a primary task. Further, the method comprises determining an association score between each of the features of a data item with each of the features of other data items. Furthermore, the method comprises identifying a first set of features by comparing the association score with a threshold value. The association score must be greater than the threshold value for the features to be included in the first set of features. Moreover, the method comprises identifying secondary features by mapping the first set of features with the feature set. Thereafter, the method comprises generating secondary tasks based on the secondary features for a neural network.

Abstract: Provided is a biological information detection device including: an image acquisition unit that acquires an image composed of image signals including a plurality of wavelength components obtained by capturing reflected light from an object; a region division unit that divides the image into a plurality of regions for each frame; a local pulse wave detection unit that detects a pulse wave based on wavelength fluctuation between frames for each of the regions; and a blood pressure estimation unit that calculates propagation velocity of the pulse wave based on an appearance time difference of patterns of the pulse waves in two or more regions extracted based on an appearance order of the patterns of the pulse waves in the plurality of regions, and estimates a blood pressure based on the propagation velocity of the pulse wave.

Abstract: A learning model to be used for a new task is selected from among trained learning models. A processor acquires information on a detail of a new task and extracts a new characteristic amount vector from a new training data set for the new task. The processor references stored related information on a plurality of existing learning models and acquires information on details of tasks of the plurality of existing learning models and characteristic amount vectors of training data for the plurality of existing learning models. The processor selects a candidate learning model for the new task from among the plurality of existing learning models based on a result of comparing information on the detail of the new task with the tasks of the plurality of existing learning models and a result of comparing the new characteristic amount vector with characteristic amount vectors of the plurality of existing learning models.

Abstract: Provided is a biological information detection device including: an image acquisition unit that acquires an image composed of image signals including a plurality of wavelength components obtained by capturing reflected light from an object; a region division unit that divides the image into a plurality of regions for each frame; a local pulse wave detection unit that detects a pulse wave based on wavelength fluctuation between frames for each of the regions; and a blood pressure estimation unit that calculates propagation velocity of the pulse wave based on an appearance time difference of patterns of the pulse waves in two or more regions extracted based on an appearance order of the patterns of the pulse waves in the plurality of regions, and estimates a blood pressure based on the propagation velocity of the pulse wave.

Abstract: Enhancing the image quality by suitable color noise correction is realized without depending on a subject, a photographing scene, and photographing conditions by determining and correcting a color noise component according to photographing conditions of a camera. The present invention is configured of an imaging device that has: an imaging unit; a signal processing unit that performs signal processing on an image signal inputted from the imaging unit and outputs a luminance signal and a chrominance signal; a camera controlling unit that controls at least one of photographing conditions of optical conditions and exposure of the photographing unit and a signal processing condition of the signal processing unit; and a color noise correction unit that extracts and corrects a color noise component from the chrominance signal inputted from the signal processing unit. The camera control unit controls the color noise correction unit using information of the photographing conditions.

Abstract: A plural camera images capturing and processing apparatus includes a plurality of cameras that capture images of a plurality of adjacent imaging regions which overlap each other, a plurality of laser devices that give a marker to each common imaging region in which imaging regions overlap each other, an imaging control unit that controls each camera and each laser device and acquires a markerless image group to which no marker is given and a marker-given image group to which the marker is given, a non-visible light image processing unit that calculates a correction parameter, which is information for aligning the inclinations, sizes, and positions of the imaging regions, on the basis of the marker-given image group, and a visible light image processing unit that composes the markerless image group to generate a composite image, on the basis of the correction parameter.

Abstract: An imaging device is provided with a lens distortion correction function that requires less circuit scale and does not degrade image resolution.

Abstract: An image signal processing apparatus, which includes a first area input-output characteristics control unit, which controls change of input-output characteristics for every arbitrary area associated with a value of an input luminance signal. The image signal processing apparatus also includes a second area input-output characteristics control unit, which controls change of input-output characteristics for every arbitrary area associated with an output of the first area input-output characteristics control unit, and a chrominance input-output characteristics control unit which controls the change of the input-output characteristics of an input chrominance signal by utilizing the output of the first area input-output characteristics control unit and the output of the second area input-output characteristics control unit.

Abstract: An imaging device is provided with a lens distortion correction function that requires less circuit scale and does not degrade image resolution.

Abstract: A plural camera images capturing and processing apparatus includes a plurality of cameras that capture images of a plurality of adjacent imaging regions which overlap each other, a plurality of laser devices that give a marker to each common imaging region in which imaging regions overlap each other, an imaging control unit that controls each camera and each laser device and acquires a markerless image group to which no marker is given and a marker-given image group to which the marker is given, a non-visible light image processing unit that calculates a correction parameter, which is information for aligning the inclinations, sizes, and positions of the imaging regions, on the basis of the marker-given image group, and a visible light image processing unit that composes the markerless image group to generate a composite image, on the basis of the correction parameter.

Abstract: Enhancing the image quality by suitable color noise correction is realized without depending on a subject, a photographing scene, and photographing conditions by determining and correcting a color noise component according to photographing conditions of a camera. The present invention is configured of an imaging device that has: an imaging unit; a signal processing unit that performs signal processing on an image signal inputted from the imaging unit and outputs a luminance signal and a chrominance signal; a camera controlling unit that controls at least one of photographing conditions of optical conditions and exposure of the photographing unit and a signal processing condition of the signal processing unit; and a color noise correction unit that extracts and corrects a color noise component from the chrominance signal inputted from the signal processing unit. The camera control unit controls the color noise correction unit using information of the photographing conditions.

Abstract: A video camera comprises an optic system 101, an image pickup element 102, a de-mosaicing (de-tessellating) process portion 103, frequency converter portions 104-106, a frame memory 124, parameter produce portions 125-127, noise reduction process portions 107-109, a frame memory 110, frequency converter portions 111-113, noise reduction process portions 114-116, frequency inverter portions 117-119, a brightness signal produce portion 120, a color difference produce portion 121, a coding process portion 122 and a recording medium 123. With the above-mentioned structures, it is possible to execute noise extraction depending on the characteristics of an input video signal, and also to obtain an effect of improving high S/N, but without producing deterioration of the picture quality, i.e., removing the noises of the picked up video, effectively.

Abstract: In the imaging apparatus, an image signal derived from an imaging element is supplied to color signal producing means so as to be separated into a R(red) color signal, a G(green) color signal and a B(blue) color signal. These R, G, B signals are supplied to color-depending frequency component changing means. While predetermined information has been stored in a memory with respect to each of the R signal, the G signal and the B signal, and the predetermined information is used in order to change a signal level of a high frequency component every R, G, B signals, the color-depending frequency component changing means extracts a high frequency component from each of the R signal, the G signal and the B signal, and then, corrects frequency components of these extracted high frequency components in such a manner that the corrected frequency characteristics may constitute relevant signals.

Abstract: An image apparatus has signal slicing unit for two-dimensionally slicing a signal from an imaging device; pixel correlation detection unit for detecting correlation between a center pixel of the signal sliced by the signal slicing unit and its peripheral pixels; correction unit for executing a correction processing for each pixel signal sliced on the basis of the degree of correlation; and synchronization unit for extracting each color signal at the center pixel position of the area sliced by using a signal after correction.

Abstract: The present invention aims at suppressing a noise in a low luminance part and a high luminance part and, at the same time, realizing a high contrast of the parts, and realizing high contrast of a characterizing part of the image as well. The image signal processing is provided with: a first area input-output characteristics control unit which controls change of input-output characteristics for every arbitrary areas, associated with a value of an input luminance signal; a second area input-output characteristics control unit which controls change of input-output characteristics for every arbitrary areas, associated with an output of the first area input-output characteristics control unit; and a chrominance input-output characteristics control unit which controls change of the input-output characteristics of an input chrominance signal, utilizing the output of the first area input-output characteristics control unit and the output of the second area input-output characteristics control unit.

Abstract: A recording/reproducing apparatus, for enabling recording/reproducing of a three-dimensional (3D) video stream, by taking a display environment into the consideration thereof, comprises: a stream distinguishing means for distinguishing the three-dimensional (3D) video stream; a 3D/2D stream converting for converting the three-dimensional (3D) video stream distinguished by the stream distinguishing means into a two-dimensional (2D) video stream; and a conversion indicating means for indicating to execute the 3D/2D conversion, wherein the three-dimensional (3D) video stream is converted into the two-dimensional (2D) video stream by the 3D/2D stream means, when the 3D/2D conversion is indicted in the conversion indicating means.

Abstract: A video camera comprises an optic system 101, an image pickup element 102, a de-mosaicing (de-tessellating) process portion 103, frequency converter portions 104-106, a frame memory 124, parameter produce portions 125-127, noise reduction process portions 107-109, a frame memory 110, frequency converter portions 111-113, noise reduction process portions 114-116, frequency inverter portions 117-119, a brightness signal produce portion 120, a color difference produce portion 121, a coding process portion 122 and a recording medium 123. With the above-mentioned structures, it is possible to execute noise extraction depending on the characteristics of an input video signal, and also to obtain an effect of improving high S/N, but without producing deterioration of the picture quality, i.e., removing the noises of the picked up video, effectively.

Abstract: An imaging apparatus which can correct a shaking of the hand whether a moving picture is taken or a still picture is taken. Exposure is carried out within a shorter time than a predetermined exposure time to output a charge. Exposure and delivery of charge is carried out plural times to accumulate charges. An address for accumulation is changed in accordance with information of a shaking occurring within the shorter time and a signal due to the shaking and a signal before the shaking are accumulated at the address. Alternatively, a camera-shake is detected by using a sensor such as a gyroscope adapted to detect an angular velocity or an acceleration of a shaking of the imaging apparatus itself.

Abstract: The disclosed is to provide an image signal processor and its method in which the enhancement of resolution and the effective reduction of noise are compatible. The image signal processor is provided with an edge character detector that detects a character of an edge of an object, an image signal frequency zone limiter that executes a noise removing process, an image signal frequency zone enhancer that executes a resolution enhancing process and a gain controller that changes each intensity of the image signal frequency zone limiter and the image signal frequency zone enhancer according to an output result of the edge character detector.

Abstract: An image apparatus has signal slicing unit for two-dimensionally slicing a signal from an imaging device; pixel correlation detection unit for detecting correlation between a center pixel of the signal sliced by the signal slicing unit and its peripheral pixels; correction unit for executing a correction processing for each pixel signal sliced on the basis of the degree of correlation; and synchronization unit for extracting each color signal at the center pixel position of the area sliced by using a signal after correction.