Abstract: Apparatus and methods are described for determining a property of a bodily sample using a microscope and optical-density-measurement apparatus, the apparatus including a sample carrier that includes a plurality of microscopy sample chambers configured to receive a first portion of the sample and to facilitate imaging of the first portion of the sample by the microscope, each of the microscopy sample chambers having an upper and a lower surface, and having respective heights between the upper and lower surfaces that are different from each other. The sample carrier includes at least one optical-density-measurement chamber configured to receive a second portion of the sample, and to facilitate optical density measurements being performed optical-density-measurement apparatus upon the second portion of the sample. Other applications are also described.

Abstract: An automatic extraction device for extracting a liquid substance (e.g., oil) from plant material, is disclosed. The device comprising: an ethanol source, a mixing tank, in liquid connection with the ethanol source, comprising: an entrance for providing the plant material; a mixer, and an exit for extracting a mixture of the ethanol and the liquid substance, an evaporation system, in liquid connection to the mixing tank's exit, for evaporating the ethanol; and a condenser, for condensing the evaporated ethanol, the condenser. In some embodiments, the condenser may include: an entrance in gas connection with the evaporation system; a housing having a maximum external volume of at most 1 liter; and an internal array of heatsinks, located inside the housing, providing a surface-to-volume ratio of 4-0.5 [1/mm]; and a collecting tube, in liquid connection to the mixing tank, for collecting the condensed ethanol.

Abstract: A method for depth mapping includes providing a depth mapping device comprising a projector, which is configured to project a pattern of optical radiation onto a target area over a first field of view about a projection axis, and a camera, which is configured to capture images of the target area within a second field of view, narrower than the first field of view, about a camera axis, which is offset transversely relative to the projection axis. The projector projects the pattern onto first and second planes at first and second distances from the camera, and the camera captures first and second reference images containing first and second parts of the pattern on the first and second planes, respectively. The first and second reference images are combined to produce an extended reference image including both the first and second parts of the pattern.

Abstract: Apparatus and methods are described including a sample carrier (22) configured to carry a portion of a bodily sample, at least a portion of the sample carrier being configured to fluoresce, at least under certain conditions. An optical measurement device (24) performs optical measurements upon the portion of the bodily sample that is housed within the sample carrier (22), and at least partially photobleaches an area within the portion of the sample carrier (22) by causing the area to fluoresce. By detecting that the area within the portion of the sample carrier (22) has been photobleached, an output is generated indicating that at least a portion of the sample carrier (22) is contaminated or that optical measurements cannot be performed on the portion of the sample carrier (22), or the optical measurement device (24) is prevented from performing optical measurements upon a sample portion housed within the given portion of the sample carrier (22).

Abstract: Techniques are provided for generation of secure video and tamper detection of the secure video. A methodology implementing the techniques according to an embodiment includes selecting a subset of macroblocks from a video frame to be transmitted and calculating a low frequency metric on each of the selected macroblocks. The method also includes performing a hash calculation on the low frequency metrics to generate a frame signature; encrypting the frame signature (using a private key) to generate an encrypted watermark; and modifying pixels of each of the selected macroblocks to generate the secured video frame, the modifications based on bits of the encrypted watermark that are associated with the selected macroblock. The method further includes authenticating a received video frame by comparing a calculated frame signature to an authenticated frame signature, the authenticated frame signature decrypted (using a public key) from an extracted watermark of the received video frame.

Abstract: An example apparatus for video frame segmentation includes a receiver to receive a current video frame to be segmented. The apparatus also includes a segmenting neural network to receive a previous mask including a segmentation mask corresponding to a previous frame and generate a segmentation mask for the current frame based on the previous mask and the video frame.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to calibrate a stereo camera. An example apparatus includes means for determining a motion grid between a first image and a second image captured by the stereo camera; means for determining a calibration value to calibrate the stereo camera based on a prior calibration value, a relative orientation between the first image and the second image based on the motion grid, and a metric indicative of calibration improvement; and means for estimating a depth based on the calibration value.

Abstract: A method, system, and article of highly efficient neural network video image processing uses temporal correlations.

Abstract: A method, system, and article is directed to real-time super-resolution image processing using neural networks.

Abstract: An example apparatus for video frame segmentation includes a receiver to receive a current video frame to be segmented. The apparatus also includes a segmenting neural network to receive a previous mask including a segmentation mask corresponding to a previous frame and generate a segmentation mask for the current frame based on the previous mask and the video frame.

Abstract: Techniques are provided for generation of secure video and tamper detection of the secure video. A methodology implementing the techniques according to an embodiment includes selecting a subset of macroblocks from a video frame to be transmitted and calculating a low frequency metric on each of the selected macroblocks. The method also includes performing a hash calculation on the low frequency metrics to generate a frame signature; encrypting the frame signature (using a private key) to generate an encrypted watermark; and modifying pixels of each of the selected macroblocks to generate the secured video frame, the modifications based on bits of the encrypted watermark that are associated with the selected macroblock. The method further includes authenticating a received video frame by comparing a calculated frame signature to an authenticated frame signature, the authenticated frame signature decrypted (using a public key) from an extracted watermark of the received video frame.

Abstract: Techniques related to temporal noise reduction in captured video are discussed. Such techniques include performing motion estimation on a portion of a downsampled current frame performed during the downsampling of the current frame, replacing one or more of the resultant motion vectors based on confidence scores of the resultant motion vector, and blending the current frame and a temporally previous frame to generate a temporally filtered current frame. The temporally filtered current frame may be displayed to a user and/or encoded to generate a bitstream.

Abstract: Embodiments are directed towards enabling digital cameras to create a 3D view, which can be re-rendered onto any object within a scene, so that it is both in focus and a center of perspective, based on capturing a single set of multiple 2D images of the scene. From capturing a single set of 2D images for a scene, a depth map of the scene may be generated, and used to calculate principal depths, which are then used to capture an image focused at each of the principal depths. A correspondence between a 2D image of the scene and the principal depths are determined that corresponds to a specific principal depth. For different coordinates of the 2D image, different 3D views of the scene are created that are each focused at a principal dept that corresponds to the given coordinate.

Abstract: Techniques related to temporal noise reduction in captured video are discussed. Such techniques include performing motion estimation on a portion of a downsampled current frame performed during the downsampling of the current frame, replacing one or more of the resultant motion vectors based on confidence scores of the resultant motion vector, and blending the current frame and a temporally previous frame to generate a temporally filtered current frame. The temporally filtered current frame may be displayed to a user and/or encoded to generate a bitstream.

Abstract: Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.

Abstract: Embodiments are directed towards enabling digital cameras to digitally process a captured a Low Dynamic Range image sequence at a real time video rate, and to convert the image sequence into an High Dynamic Range (HDR) image sequence using a pipelined architecture. Two or more image frames are captured using different exposure settings and then combined to form a single HDR output frame in a video sequence. The pipelined architecture operate on adjacent image frames by performing an image alignment, an image mixing, and a tone mapping on the adjacent image frames to generate the HDR image sequence.

Abstract: Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.

Abstract: A camera that provides for a panorama mode of operation that stitches together two or more images to create a single image with a wide format. In panorama mode, a live view of a scene is transformed from rectangular coordinates to cylindrical coordinates and displayed by the camera. Also, an overlap portion between the previous image and the next image to be captured is characterized. In real time, after the previous image is captured, the overlap portion of the previous image is also transformed from rectangular coordinates into cylindrical coordinates. Next, the camera displays an overlay of at least a portion of the overlap portion onto the live view of the next image to be captured. And this overlay can assist the user in aligning the live view of the next image to be captured with the overlap portion of the previously captured image.

Abstract: A digital camera system for super resolution image processing constructed to receive a plurality of input frames and output at least one digitally zoomed frame is provided. The digital camera system includes a motion registration module configured to generate motion information associated with the plurality of input frames, an interpolation module configured to generate a plurality of interpolated input frames based at least in part on the plurality of input frames and the motion information, a weights calculation module configured to calculate one or more weights associated with the plurality of input frames based on at least the motion information, and a weighted merging module configured to merge the plurality interpolated input frames consistent with the one or more weights to generate the at least one digitally zoomed frame.

Abstract: Embodiments are directed towards determining within a digital camera whether a pixel belongs to a foreground or background segment within a given image by evaluating a ratio of derivative and deviation metrics in an area around each pixel in the image, or ratios of derivative metrics across a plurality of images. For each pixel within the image, a block of pixels are examined to determine an aggregate relative derivative (ARD) in the block. The ARD is compared to a threshold value to determine whether the pixel is to be assigned in the foreground segment or the background segment. In one embodiment, a single image is used to determine the ARD and the pixel segmentation for that image. Multiple images may also be used to obtain ratios of a numerator of the ARD, useable to determine an extent of the foreground.