Abstract: An image processing apparatus includes an input interface to acquire an image, and first to fourth controllers. The first controller performs image processing on the image. The second controller performs correction on an optical distortion in the image. The third controller performs recognition on the image. The fourth controller superimposes a result of the recognition onto the image and outputs a resulting image. The first controller can perform first and second image processing. The second controller can perform first and second correction processing. The third controller receives an input of the image, and outputs information indicating a location of a recognized object. The fourth controller receives an input of the image, and superimposes a drawing indicating the location of the recognized object onto a corresponding location in the image.

Abstract: A target tracking method includes receiving an initial video of a number of targets to be tracked acquired by a first mobile camera device, identifying the number of targets to be tracked in the initial video, tracking the plurality of targets to be tracked, and determining whether all of the targets to be tracked are within a tracking range of the first mobile camera device. If at least one target to be tracked is not within the tracking range of the first mobile camera device, at least one second mobile camera device is controlled to track the at least one target to be tracked that is not within the tracking range of the first mobile camera device.

Abstract: A camera control section (21) fixes among parameters for photographing which are set in a camera (1), another parameter than exposure time, and causes the camera (1) to photograph a photographing target area while changing the exposure time. An image acquisition section (11) acquires N (N?3) images of the photographing target area acquired by photographing by the camera (1). A model generation section (100) extracts for each pixel position, pixel values of a same pixel position from the N images, and generates a model indicating for each pixel position, a relationship between exposure times and pixel values, based on the extracted pixel values of the same pixel position and an exposure time at a time of photographing of each of the N images. A luminance value calculation section (52) calculates a luminance value for each pixel position, using the generated model and a luminance coefficient.

Abstract: The present invention relates to an information processing device configured to perform a process of creating, on the basis of original content, at least a first content having a data size smaller than a data size of the original content and a second content having a data size smaller than the data size of the first content, and a process of transferring the original content, the first content, and/or the second content.

Abstract: Disclosed are implementations that enable the linking or connection of objects and different scenes in which those objects are represented. For example, a corpus of scenes (e.g., digital images) that include a representation of one or more objects may be processed using the disclosed implementations to segment from those scenes the individual objects represented in those scenes. The disclosed implementations may further determine clusters of visually similar object segments and form object clusters for those object segments. The scenes that include those object segments are also linked to the object cluster. With scenes linked to different object clusters, a user may select one or more query objects or a query scene and be presented with other scenes that include visually similar objects, even though the overall scenes may be visually different.

Abstract: A method and device for obtaining exposure compensation values of a high-dynamic-range image, wherein the method includes: a relationship between brightness values and pixel ratios in different color channels corresponding to a current scene is determined; an underexposure degree and an overexposure degree of the current scene are determining, according to a preset normal exposure brightness threshold, a preset pixel ratio threshold, and the relationship between brightness values and pixel ratios; and an underexposure compensation value and an overexposure compensation value of the current scene are determined, according to the underexposure degree and the overexposure degree of the current scene.

Abstract: Systems, apparatuses, and methods for generating a model for determining a quantization strength to use when encoding video frames are disclosed. A pre-encoder performs multiple encoding passes using different quantization strengths on a portion or the entirety of one or more pre-processed video frames. The pre-encoder captures the bit-size of the encoded output for each of the multiple encoding passes. Then, based on the multiple encoding passes, the pre-encoder generates a model for mapping bit-size to quantization strength for encoding video frames or portion(s) thereof. When the encoder begins the final encoding pass for one or more given video frames or any portion(s) thereof, the encoder uses the model to map a preferred bit-size to a given quantization strength. The encoder uses the given quantization strength when encoding the given video frame(s) or frame portion(s) to meet a specified bit-rate for the encoded bitstream.

Abstract: Methods and devices are described for image or video capture while in a manual mode. In some aspects, a device includes one or more processors. The device also includes a memory coupled to the one or more processors. The memory includes instructions that, when executed by the one or more processors, causes the device to generate a first image frame of a scene using manual mode settings and generate a second image frame of the scene using automatic mode settings different from the manual mode settings.

Abstract: A testing apparatus for use with a laser processing system that includes a laser for generating a non-stationary laser beam and a work plane positioned at a working distance relative to the non-stationary laser beam, wherein the testing apparatus includes a support tube; a protective window mounted in the support tube for protecting components mounted within the support tube; a reimaging lens mounted in the support tube for enlarging the non-stationary laser beam for characterization thereof; a pin-hole defining structure mounted in the support tube for receiving laser light generated by the laser beam, wherein the pin-hole is located at a predetermined distance from the reimaging lens; a fiber optic cable disposed within the pin-hole defining structure that has a proximal end at which the laser light is received through the pin-hole and a distal end to which the laser light is delivered; and a photodetector located at the distal end of the fiber optic cable that converts the laser light delivered to the phot

Abstract: Offset values, such as Sample Adaptive Offset (SAO) values in video coding standards such as the High Efficiency Video Coding standard (HEVC), may be improved by performing calculations and operations that improve the preciseness of these values without materially affecting the signal overhead needed to transmit the more precise values. Such calculations and operations may include applying a quantization factor to a video sample and at least some of its neighbors, comparing the quantized values, and classifying the video sample as a minimum, maximum, or one of various types of edges based on the comparison. Other sample range, offset mode, and/or offset precision parameters may be calculated and transmitted with metadata to improve the precision of offset values.

Abstract: [Object] To execute online calibration without using a light source. [Solution] An image sensor includes: a pixel array portion in which a plurality of pixels are disposed and which generates a pixel signal; a reference signal generation unit configured to generate a reference signal for calibration; an analog digital (AD) conversion unit configured to execute AD conversion on the pixel signal and the reference signal to generate pixel data and reference data; and a correction processing unit configured to correct the pixel data on a basis of the reference data. The present technology can be applied to, for example, an image sensor performing online calibration.

Abstract: An image processing apparatus (100) includes: a variable determination unit (134) that performs, based on a distribution of luminance values of individual pixels included in a predetermined area determined according to information regarding a motion of a user out of first video data recorded in a first dynamic range, determination of a variable to be used to calculate the luminance values of the individual pixels when the first dynamic range is converted into a second dynamic range; and a converter (135) that converts the first video data into second video data displayed in the second dynamic range, based on the variable determined by the variable determination unit.

Abstract: The invention relates to a method for masking an image (20) of an image sequence with a mask (30), wherein a mask colour is determined according to an image colour of the image (20) in the environment of the mask (30), and a colour of the mask (30) is set according to the determined mask colour or with the determined mask colour. The invention also relates to a computer program, a machine-readable storage medium and an electronic storage unit.

Abstract: A visual search method, a computer device, and a non-transitory computer readable storage medium are provided. An ith image frame is received. The location and the classification of the subject in the ith image frame are extracted. A detection block corresponding to the subject is generated. In subsequent image frames of the ith image frame, the subject is tracked on the basis of the location of the subject in the ith image frame. The detection block is adjusted on the basis of the tracking result.

Abstract: There is provided an image capturing apparatus comprising an image sensor that outputs a plurality of parallax images in a single instance of shooting, the parallax images having different viewpoints. A shooting control unit carries out, using the image sensor, first shooting and a plurality of instances of second shooting. The plurality of instances of second shooting is carried out under a shooting condition in which a depth of field is shallower than in the first shooting. A generating unit generates a plurality of range images corresponding to the plurality of instances of second shooting. A detection unit detects an amount of positional skew, relative to a first image generated through the first shooting, of each of a plurality of second images generated through the plurality of instances of second shooting.

Abstract: A solid-state imaging device including an imager that acquires image data, a processing unit that performs a process based on a neural network calculation model for data based on the image data acquired from the imager, and a control unit that switches between a first process mode of performing a first process at a first frame rate and, based on a result of the first process, a second process mode of performing a second process at a second frame rate.

Abstract: There is provided a focus adjustment apparatus. A selection unit repeatedly executes selection processing for selecting a main subject from one or more subjects included in a shooting range based on an autofocus (AF) setting. A focus adjustment unit performs focus adjustment on a target position determined based on the selected main subject. A change unit changes the AF setting. In a case where the AF setting is changed after a previous execution of selection processing, the selection unit determines whether to execute selection processing based on a main subject selected in the previous execution of selection processing or whether to execute the selection processing independently of the main subject selected in the previous execution of selection processing according to a change content of the AF setting.

Abstract: An analog-digital converter that includes voltage acquisition circuitry that acquires a voltage value of an analog signal in a settling period, calculation circuitry that calculates a predicted convergence voltage value of the analog signal based on the voltage value of the acquired analog signal, reference signal generation circuitry that generates a ramp wave reference signal based on the predicted convergence voltage value, comparison circuitry that compares the voltage value of the analog signal with the ramp wave, measurement circuitry that measures a time period from a generation of the reference signal to a time before the voltage value of the analog signal intersects with the ramp wave of the reference signal, and addition circuitry that derives a convergence voltage value of the analog signal by adding a voltage value corresponding to the measured time period and a voltage value based on the predicted convergence voltage value.

Abstract: An image capturing apparatus comprises an interface configured to connect to an external apparatus, a transmitting unit configured to transmit image data to an external apparatus connected by the interface, a processing unit configured to encode the image data with a predetermined format, a determination unit configured to determine whether or not image data to be encoded by the processing unit includes decoding information for decoding the image data, and a control unit configured to switch, based on the determination result, between processing for transmitting image data encoded by the processing unit and the decoding information to the external apparatus and processing for transmitting an image file in which image data including the decoding information is encoded to the external apparatus.

Abstract: An image sensor includes a first unit pixel including a first sub-pixel and a second sub-pixel, a second unit pixel including a third sub-pixel and a fourth sub-pixel, a timing controller configured to apply a first effective integration time to the first sub-pixel and the fourth sub-pixel, such that a first sensing signal and a fourth sensing signal are generated from the first sub-pixel and the fourth sub-pixel, respectively, and to apply a second effective integration time shorter than the first effective integration time to the second sub-pixel and the third sub-pixel, such that a second sensing signal and a third sensing signal are generated from the second sub-pixel and the third sub-pixel, respectively, and an analog-to-digital converter configured to perform an averaging operation on the first sensing signal and the fourth sensing signal or on the second sensing signal and the third sensing signal.

Abstract: There is provided an information processing apparatus, an information processing method, a program, and an interchangeable lens each capable of appropriately correcting shading of an image having a plurality of viewpoints. A communication unit receives shading information associated with shading of each of a plurality of ommatidium images that are included in a captured image acquired by one image sensor and correspond to images formed by lights respectively concentrated by a plurality of ommatidium lenses that are a plurality of lenses so disposed as not to overlap with each other in an optical axis direction and are included in an interchangeable lens when the interchangeable lens is fitted to a camera body including the image sensor. A correction unit corrects shading of each of the plurality of ommatidium images that are included in the captured image acquired by the image sensor and respectively correspond to the plurality of ommatidium lenses on the basis of the shading information.

Abstract: An object detection device detects a predetermined object from an image. The object detection device includes a first detection unit configured to detect a plurality of candidate regions where the predetermined object exists from the image, a region integrating unit configured to determine one or a plurality of integrated regions according to the plurality of candidate regions detected by the first detection unit, and a second detection unit configured to detect, in the one or the plurality of integrated regions, the predetermined object by using a detection algorithm different from an algorithm of the first detection unit. As a result, it is possible to detect the predetermined object faster and more accurately than before.

Abstract: The present invention concerns a method and device for synchronizing a digital photography camera with alternative image content shown on a physical display, comprising: generating at least two different sets of image data, each set of image data comprising a sequence of individual images; generating a master-clock signal (M); displaying the images of said at least two sets of image data in a time-sliced multiplexed manner on said physical display triggered by said master-clock signal, generating a camera-synchronization signal (C) on the basis of said master-clock signal (M), generating a camera-actuation signal (A) for capturing at least one image with said digital photography camera; generating at least one shutter release signal (S) for said digital photography camera on the basis of said camera-synchronization signal (C) and said camera-actuation signal (A); and transmitting said at least one shutter release signal (S) to a shutter control unit of said digital photography camera.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes receiving a video image of a multi-function device (MFD), applying an object detection model to the video image to generate an annotated image with bounding boxes around persons detected in the video image, determining a number of the bounding boxes, determining that the number of bounding boxes is greater than a threshold in a policy associated with the MFD, and deactivating the MFD.

Abstract: A display control apparatus includes: a determination unit configured to determine whether each of a plurality of images is an image having a high dynamic range (HDR) or an image having a standard dynamic range (SDR); and a control unit configured to display a list of the plurality of images in a display unit and display an image selected from the list of the plurality of images in the display unit, wherein the control unit is further configured: to display a selected image in the plurality of images using the HDR, in a case where the image having the HDR is selected, and to display the plurality of images in the list uniformly using the HDR or the SDR, in a case where the plurality of images in the list includes both the image having the HDR and the image having the SDR.

Abstract: The present disclosure generally relates to user interfaces for displaying representations of media (an image, video).

Abstract: An image sensing device includes a Bayer pixel group configured include pixels that form a Bayer pattern and are arranged in a 2×2 matrix, a 4SUM pixel group configured to include pixels that correspond to the same colors and are arranged in a 2×2 matrix, a Bayer floating diffusion disposed at a center portion of the Bayer pixel group, a 4SUM floating diffusion (FD) region disposed at a center portion of the 4SUM pixel group, a sensing node, and a gain conversion transistor coupled between the sensing node and any one of the Bayer floating diffusion (FD) region and the 4SUM floating diffusion (FD) region.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for enabling secure video sharing by exploiting data sparsity. In one example, the method includes applying a transformation to a video dataset containing a plurality of video samples, to produce a plurality of sparse vectors in a first dimensional space, wherein each sparse vector of the plurality of sparse vectors corresponds to one video sample of the plurality of video samples, and multiplying each sparse vector of the plurality of sparse vectors by a transformation matrix to produce a plurality of reduced vectors in a second dimensional space, wherein the dimension of the second dimensional space is smaller than a dimension of the first dimensional space, and wherein the plurality of reduced vectors in the second dimensional space hides information about the video dataset while preserving relational properties between the plurality of video samples.

Abstract: According to various embodiments of the disclosure, disclosed is an electronic device including a processor and an image sensor module. The image sensor module includes an image sensor in which sensor pixels are arranged and a control circuit electrically connected to the image sensor and connected to the processor.

Abstract: Definition is calculated for each pixel in a plurality of captured images while changing a focal position. For each coordinates, an image reference value indicating the number of a to-be-referenced captured image is determined. Then, a luminance value is calculated for each coordinates on the basis of the image reference value and the definition. At this time, the luminance value in the captured image indicated by the image reference value of peripheral coordinates is reflected in the luminance value in the captured image indicated by the image reference value of each coordinates. The calculated luminance values are combined to generate an omnifocal image. Accordingly, a smooth omnifocal image is generated. The image reference values themselves are not changed. This prevents unnecessary luminance values of pixels existing in captured images that ought not to be referenced from appearing in the omnifocal image.

Abstract: A display substrate, a high-precision metal mask, a display device and a display driving method are provided in the present disclosure. A plurality of pixel repetition units is included in a display region of the display substrate, each pixel repetition unit includes two first sub-pixels, one second sub-pixel and one third sub-pixel, one of the two first sub-pixels is located in a first row, and the other of the two first sub-pixels is located in a third row, the second sub-pixel and the third sub-pixel are arranged in a same second row. A distribution density of the pixel repetition units in the first region is smaller than a distribution density of the pixel repetition units in the second region.

Abstract: A method of detecting and quantifying blur in a digital image, making use of a computer and comprising: a step a) of obtaining a digital image comprising pixels; a step b) of obtaining a brightness parameter for each pixel, said step b) comprising a convolution operation with an edge detection matrix; a step c) of calculating a score S1 comprising the maximum, calculated over all the pixels, of the brightness parameter obtained in step b) and a second score S2 comprising a logistic function, and a step d) of evaluating the digital image, said digital image being considered to be blurry if the score S1 obtained in step c) is strictly less than a first predetermined threshold S10, the score S1 providing a first quantity of blur present in the digital image.

Abstract: An image sensor device includes a pixel that converts a light signal into an electrical signal and outputs the converted electrical signal through a data line, a current bias element that is connected between the data line and a ground voltage, and a self-pull-down circuit that is connected between the data line and the ground voltage and pulls down the data line based on an output voltage of the data line.

Abstract: Image analysis and processing may include using an image processor to receive image data corresponding to an input image, determine an initial gain value for the image data based on at least one of a two-dimensional gain map or a parameterized radial gain model, determine whether the initial gain value is below a threshold, determine a maximum RGB triplet value for the image data where the initial gain value is below the threshold, determine a pixel intensity as output of a function for saturation management, determine a final gain value for the image data based on the maximum RGB triplet value and the pixel intensity, apply the final gain value against the image data to produce processed image data, and output the processed image data for further processing using the image processor.

Abstract: An electronic device, a method and a storage medium are disclosed. The electronic device includes a processor and a memory operatively coupled to the processor. The processor is configured to receive a user input from an external electronic device. The processor is also configured to synthesize a first region that is a first partial region of a first raw image and a second partial region of a second raw image based on the user input to generate a composite raw image. The processor is further configured to modify at least one of a first attribute of the first raw image and a second attribute of the second raw image to generate a third attribute. Additionally, the processor is configured to calibrate the composite raw image using the third attribute to generate a composite image.

Abstract: A text and voice information processing method includes: photographing a document to obtain a first picture, wherein the document comprises a first text keyword and a second text keyword; recording audio to obtain a voice file corresponding to the document; obtaining a first voice segment matching the first text keyword and a second voice segment matching the second text keyword from the voice file; displaying a second picture with a first play button and a second play button; in response to a user input, playing back the first voice segment or playing back the second voice segment.

Abstract: A luminance determining method of determining a luminance of each pixel in a display device that includes a self emitting element includes dividing one image into a plurality of blocks that do no overlap each other; and correcting, in each of the plurality of blocks, a luminance of each pixel by reducing the luminance in the plurality of blocks through a correction method determined for each of the plurality of blocks.

Abstract: To search for a similar image more accurately, an image search system acquires a plurality of representative vectors, which are generated based on a plurality of feature vectors each indicating a feature of an image and included in a feature vector space, calculates a scalar value indicating a degree of similarity between each of the plurality of feature vectors and one of the representative vectors corresponding to the feature vector, calculates, for each of images, a feature value indicating a feature that depends on the representative vector based on the scalar value, and creates a search index associated with the calculated feature value.

Abstract: A picture encoding/decoding method and a related apparatus are provided. The picture decoding method includes obtaining a current picture; selecting, from a knowledge base, K reference pictures of the current picture, where at least one picture in the knowledge base does not belong to a random access segment in which the current picture is located and wherein K is an integer greater than or equal to 1; and decoding the current picture according to the K reference pictures.

Abstract: A data capture device includes: an imaging module including an image sensor and a lens; a temperature sensor associated with the imaging module; a memory storing, for a plurality of temperatures, respective imaging module response parameters corresponding to the temperatures; an imaging controller connected to the image sensor and the temperature sensor; the imaging controller including a frame generator configured to: receive (i) image data from the image sensor and (ii) a temperature measurement from the temperature sensor; generate a raw image frame containing the temperature measurement and the image data; and provide the raw image frame to a calibrator for generation of a calibrated image frame based on the raw image frame and one of the imaging module response parameters corresponding to the temperature matching the temperature measurement.

Abstract: The present invention makes it possible to suppress, to the greatest extent possible, a situation where, in an image capturing apparatus that captures images automatically, the apparatus misses capturing a video that a user wishes to capture. An image capturing apparatus comprises an image capturing unit for capturing an object image and outputting image data, a control unit for controlling whether or not to carry out an image capturing operation of recording the image data output by the image capturing unit, and an obtaining unit for obtaining information pertaining to a frequency of the image capturing operation, wherein the control unit changes a threshold for determining whether or not to carry out the image capturing operation in accordance with the information pertaining to the frequency and total image capturing time.

Abstract: A method and system for acquiring data from a pixelated image sensor for detecting charged particles. The method includes reading a pixel voltage of one or more of the multiple pixels multiple times without resetting the image sensor and digitizing the pixel into a first number of bits. The camera outputs a digitized compressed pixel voltage in a second, less, number of bits. The maximum range of the digitized compressed pixel voltage is less than a maximum range of the pixel voltage.

Abstract: Mobile devices, such as smartphones, are severely battery-limited. The capabilities of mobile device processors have increased at exponential rates, but battery technologies have improved at much slower rates. As a consequence, it is ever more important that mobile devices be operated in battery-preserving manners. An aspect of the present technology concerns methods and arrangements enabling on-going recognition-processing of imagery and audio by different detectors, without the high battery drain that has characterized the prior art. A variety of other features and arrangements are also detailed.

Abstract: A method for correcting an image includes: orthographically correcting an image; removing a curtain artifact by applying a first filter to the orthographically corrected image; correcting brightness of the image, from which the curtain artifact is removed, by applying a second filter to the image, from which the curtain artifact is removed. The first filter includes a first function and a second function for a first domain and a second domain, which are orthogonal to each other in a frequency region, and the first filter is differentiable and continuous in the first domain and the second domain.

Abstract: A spatial light modulator (SLM) has an array of pixels configured to modulate light in patterns responsive to first control signals. The modulated light forms at least one patterned light beam in a field of view. An illumination source is optically coupled to the SLM. The illumination source is configured to illuminate the array of pixels, responsive to second control signals. Circuitry is coupled to the SLM and to the illumination source. The circuitry is configured to provide the first control signals to the SLM and the second control signals to the illumination source. At least one detector is configured to detect a reflection of the patterned light beam in the field of view.

Abstract: There is provided a solid-state imaging device and an electronic apparatus that performs focus detection and image generation on objects of various shapes. A solid-state imaging device includes a pixel array in which multiple pixels are arrayed. The multiple pixels each receive light in a predetermined wavelength band. The pixel array includes at least one or more first pixels and at least one or more second pixels. The at least one or more first pixels each include a pair of sub-pixels provided beneath one microlens. The pair of sub-pixels is aligned in a first direction. The at least one or more second pixels each include a pair of sub-pixels provided beneath one microlens. The pair of sub-pixels is aligned in a second direction. The second direction is perpendicular to the first direction.

Abstract: A method for generating surround view images derived from image data captured by cameras of a vehicular surround view vision system includes equipping a vehicle with a plurality of cameras disposed at the vehicle. Image data is captured by the cameras and provided to a control of the vehicle. The provided captured image data is processed to generate a first three-dimensional representation in accordance with a first curved surface model as if seen by a virtual observer from a first virtual viewing point exterior of the vehicle having a first viewing direction. The first representation is output to a display screen of the vehicle for display to the driver of the vehicle. Responsive to actuation of a user input, the processing is adjusted to generate a second three-dimensional representation in accordance with a second curved surface model, and the second representation is output to the display screen.

Abstract: An image reading apparatus includes a light emitter configured to irradiate an original with light, a reading device including a line sensor and an amplifier, a detector configured to detect a temperature of the reading device, a sampling portion configured to sample a value of the analog signal output from the amplifier, a converter configured to convert the value sampled by the sampling portion into a digital value. The sampling portion is configured to sample the analog signal corresponding to a first light-receiving element included in the plurality of light-receiving elements at a first timing in a case where the temperature detected by the detector is a first temperature, and to sample the analog signal corresponding to the first light-receiving element at a second timing, which is later than the first timing.

Abstract: The present invention relates to a video encoding/decoding method and apparatus. The video decoding method according to the present invention may comprise decoding filter information on a coding unit; classifying samples in the coding unit into classes on a per block classification unit basis; and filtering the coding unit having the samples classified into the classes on a per block classification unit basis by using the filter information.

Abstract: In order to improve linearity characteristics in synthesis processing for expanding a dynamic range, an image pickup apparatus comprising an AD conversion unit for performing AD conversion of input signals by comparing a first ramp signal or a second ramp signal; a first synthesis unit for synthesizing a first signal AD converted using the first ramp signal and a second signal AD converted using the second ramp signal; a first correction unit for correcting a level difference between the first signal and the second signal when the first signal and the second signal are synthesized; an amplifier for amplifying pixel signals by different gains; a second synthesis unit for synthesizing the signals amplified by the different gains; and a second correction unit for correcting a level difference between the signals amplified by the different gains when the signals amplified by the different gains are synthesized.