Abstract: A method is presented. The method includes receiving a first sequence of frames. The method also includes decomposing each spatial position from multiple spatial positions in the first sequence of frames to a frequency domain. The method further includes determining a distribution of spectral power density over a range of frequencies of the multiple spatial positions. The method still further includes generating a first set of feature maps based on the determined distribution of spectral power density over the range of frequencies.

Abstract: A first imager has a relatively high resolution and a relatively narrow first field-of-view. Information about objects in an environment is detected or captured, and used to steer the first field-of-view of the first imager. The sensor(s) may take the form of a second imager with a relatively lower resolution and relatively wider second field-of-view. Alternatively, other types of sensors, for instance presence/absence sensors may be employed. The first field-of-view may be directed toward an object that satisfies one or more conditions, for instance matching a particular SKU. The first field-of-view may track a moving object, for instance via a tracking mirror and actuator. This approach may be employed in retail locations, for example in grocery or convenience stores, for instance to reduce various forms of theft or in industrial environments.

Abstract: An object detection system can identify a specific object in a two-dimensional image. A processor can receive the two-dimensional image with bounding boxes around objects. The processor can cause a point to appear in the two-dimensional image. The point can represent a position, in three-dimensional space, of the specific object. The processor can determine an existence of a condition. The condition can be that the point is enclosed by a plurality of bounding boxes. The processor can receive, in response to the existence of the condition, a depth image. The processor can determine, in response to the existence of the condition and based on information included in the depth image and a location of the point in the two-dimensional image, a specific bounding box that encloses the point. The processor can cause, based on a location of the specific bounding box, an indication of the specific object to be presented.

Abstract: A display device capable of automatically adjusting displayed image comprises a display device, a camera assembly, an image recognition device and a signal processor. The display device including a shell and a display panel partially exposed from the shell, wherein the display panel faces a first direction. The camera assembly obtains a first image with a first visual angle and obtain a second image with a second visual angle. The image recognition device generates a first instruction when the first image meets a first condition and generates a second instruction when the second image meets a second condition. The signal processor adjusts the display signal to conceal the displayed image according to the first instruction and to adjust the display signal to generate a reminder message on the displayed image according to the second instruction.

Abstract: Disclosed is an intraoral scanner, including: a main body having a light projector, a camera lens, and an intake fan disposed therein; a probe tip mount disposed at the front end of the main body, and formed with a light gate; and a probe tip having the probe tip mount inserted into the rear end portion thereof, and having a reflective member for reflecting the light irradiated from the light projector through the light gate into an oral cavity and reflecting the light reflected from the interior of the oral cavity to the camera lens through the light gate disposed on the front end portion thereof. The probe tip mount is further formed with a guide hole for guiding the air flowing into the main body by the intake fan to the reflective member.

Abstract: This method of reading a video stream comprises: the reception (92) of a video stream which comprises, associated with each tile of an image, a high-quality variant and a degraded variant, this degraded variant being able to be decompressed independently of the degraded variants associated with other tiles which do not have the same coordinates and independently of the high-quality variant associated with the same tile, for each selected tile, the decryption (118) and the decompression (120) of the high-quality variant associated with this selected tile and, for each unselected tile, the decompression (126) of the degraded variant associated with this unselected tile, and then the construction (130) of the degraded version of each portion of the image situated inside an unselected tile on the basis of the degraded variant associated with this unselected tile.

Abstract: A method and system for selecting an image acquisition device. The method may include obtaining a set of device parameter corresponding to at least one image acquisition device. Each device parameter may correspond to an image acquisition device. The device parameters may include a pixel size, and a focal length. The method may include, for each image acquisition device, determining one or more first evaluation values of a target region based at least on the device parameter of the image acquisition device. Each first evaluation value may correspond to a first installation parameter of the image acquisition device. The method may include designating the image acquisition device as a target image acquisition device in response to a determination that at least one first evaluation value is greater than or equal to an evaluation value threshold.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: A camera system for an X-ray counter system utilizing an X-ray generator to image components of products placed on a tray, the camera system comprising: a plurality of cameras positioned above the tray for imaging the products. The tray includes a plurality of stages positioned about a central crosshair. Upon imaging the products on the stages of the tray, the camera system determines the size and number of products on the tray without user imputation. A light source assembly provides illumination to ensure bright field of vision for the cameras to read codes contained on the products that relay information on the previous calculation of the number of components stored on the products. After the X-ray generator images the products, a computer system determines the current number of components stored on the products. New labels may be printed to reflect any changes in the information for the products.

Abstract: There are provided computerized systems and methods for video quality assessment, the system including a server including a database configured to store pointers to a plurality of video clip pairs and a processor operatively connected thereto, configured to store pointers to a plurality of video clip pairs to be used in one or more test sessions performed by one or more users. The processor is configured to create, for each test session performed by a respective user: a test set, a display order and display positions of the each video in each video clip pairs in the set, and is further configured to send the one or more test sets to the one or more users for assessing quality and to receive feedback regarding the assessed quality, wherein the feedback is usable for providing subjective quality evaluation of the plurality of video clip pairs.

Abstract: Disclosed is a display apparatus that displays an information image and a control method thereof. The display apparatus includes an image processor; a display; and a processor configured to make content be processed by the image processor, make a content image based on the processed content be displayed on the display, generate information about an operation state of the display apparatus, and make an information image containing the generated information about an operation state and recognizable by a user terminal be displayed on the display. With this, the state information of the display apparatus may be effectively transmitted to the server that manages the display apparatus.

Abstract: The wavelength conversion element includes a phosphor layer having a plurality of phosphor particles and a binder configured to bind one of the phosphor particles adjacent to each other and another of the phosphor particles adjacent to each other out of the plurality of phosphor particles, and a substrate provided with the phosphor layer, wherein the binder includes glass, and the binder binds a part of a surface of the one of the phosphor particles and a part of a surface of the another of the phosphor particles to each other.

Abstract: A security system includes a camera having a field of vision. The camera sends image frames to a machine readable memory. A processor is accessible to the machine readable memory. The processor performs acts of receiving from the camera a plurality of frames; detecting an object entering the field of vision; determining whether the object is a person; tracking a moving path of the person; and performing facial recognition on the person using at least one of the plurality of frames.

Abstract: Apparatuses and methods are disclosed for assessing the texture of skin using images thereof. In exemplary embodiments, a texture map of an area of skin is generated from a combination of a standard white light image, a parallel-polarized image, and a cross-polarized image of the area of skin. The texture map is then flattened to remove the underlying curvature of the skin. A texture roughness metric is then generated based on the flattened texture map. An image of the texture map and the metric can be displayed to provide visual and alphanumeric representations of the texture of skin, thereby facilitating the comparison of baseline and follow-up images of the skin, such as those taken before and after treatment.

Abstract: A traffic monitoring system generates a low-light image of a set of. The traffic system comprises a camera and a processing unit. The camera generates a first image comprising a set of pixels, each pixel comprising colour encoding values corresponding to a pixel colour, a saturation value, and a luma value. The processing unit is configured to, for each pixel corresponding to a first set of colours, reducing the saturation value of the pixel, and where the pixel colour corresponds to red and where the luma value of the pixel is below a first threshold, reducing the saturation value of the pixel, where the pixel colour corresponds to red and where the luma value of the pixel is equal to or above the first threshold, preserve the saturation value of the pixel, and generate the low-light image based on the modified colour encoding values of the first image.

Abstract: A remote control apparatus for setting a mode according to a state of a broadcast receiving apparatus is provided. The remote control apparatus sets operation modes based on information regarding a state of a broadcast receiving apparatus received from the broadcast receiving apparatus. The operation mode of the remote control apparatus is automatically set based on information regarding a state of a broadcast receiving apparatus, so less power is consumed in the remote control apparatus.

Abstract: The present disclosure relates to a video projection control apparatus, a video projection control method, a program, and a video projection apparatus that enable a more effective countermeasure against a speckle noise. A calculating part calculates projection signal data to project video using a laser beam as a light source, from video signal data, a correcting part applies, to the projection signal data, a correction process of shifting a wavelength of the laser beam for, for example, each frame of the video for projection, and a converting part converts the projection signal data into a driving current supplied to the laser light source. In addition, the laser light source has a property that the wavelength shifts in accordance with an emission intensity employed when the laser light is emitted. The present technique is applicable to, for example, a video projection apparatus that uses a laser beam as its light source.

Abstract: An abnormality detection device includes processing circuitry configured to calculate an index value indicating a sum of edge strengths in a second image that is an image captured by a camera for capturing a vehicle compartment at timing before a user enters a vehicle, calculate a differential value between an index value indicating a sum of edge strengths in a reference image, which is an image captured by the camera under an imaging condition equivalent to an imaging condition of the second image before the second image is captured, and the calculated index value, determine whether the differential value is equal to or greater than a threshold value, and execute control to output a warning in a case where it is determined that the differential value is equal to or greater than the threshold value.

Abstract: Metadata for one or more highlights of a video stream may be extracted from one or more card images embedded in the video stream. The highlights may be segments of the video stream, such as a broadcast of a sporting event, that are of particular interest. According to one method, video frames of the video stream are stored. One or more information cards embedded in a decoded video frame may be detected by analyzing one or more predetermined video frame regions. Image segmentation, edge detection, and/or closed contour identification may then be performed on identified video frame region(s). Further processing may include obtaining a minimum rectangular perimeter area enclosing all remaining segments, which may then be further processed to determine precise boundaries of information card(s). The card image(s) may be analyzed to obtain metadata, which may be stored in association with at least one of the video frames.

Abstract: On-demand, post-production de-mura of a television is described herein. An example system includes a television that comprises a screen and a local de-mura application. The system also includes a mobile device that comprises a mobile de-mura module. In operation, the mobile de-mura module identifies and quantifies mura in the screen of the television for a given IRE index. These operations are repeatedly performed in a measurement loop that iterates over a range of IRE indexes. Raw uniformity data is generated from such iterations. The local de-mura application uses the uniformity data to de-mura the screen and improve gray uniformity performance of the television. Further, the mobile de-mura module and the local de-mura application are configured to fine tune and further de-mura the screen by iterating a verification loop over a range of IRE indexes, wherein operation of the verification loop is substantially similar to operation of the measurement loop.