A method for calibrating a photodetector array supplying a video stream includes: a determination step, wherein an offset table is determined for each current image of the video stream based on at least two corrections from among the following: a first correction from a comparison of the current image to a corresponding predetermined reference table; a second correction from a calculation of a column error of the current image; and a third correction from a high-pass temporal filtering of the video stream; and a calculation step, wherein a current value of an offset table, equal to a sum between a previous value of the offset table and a weighted sum of at least two corrections, is calculated, with each coefficient of the offset table being associated with a respective photodetector of the array.

A client device is configured to communicate with an access point over a wireless network, exchanging data with the access point over a selected communication channel. The client device stores an identifier of the selected communication channel. After the wireless connection to the access point has ended, the client device initiates a process to reconnect to the access point over the selected communication channel using the stored identifier.

Embodiments of the present disclosure relate to methods and apparatuses for outputting information and calibrating a camera. The method may include: acquiring a first image, a second image, and a third image, the first image being an image photographed by a to-be-calibrated camera, the second image being a high-precision map image including a target area indicated by the first image, and the third image being a reflectance image including the target area; fusing the second image and the third image to obtain a fused image; determining a matching point pair based on points selected by a user in the first image and the fused image; and calibrating the to-be-calibrated camera based on coordinates of the matching point pair.

The invention relates to a calibration unit (2) for a monitoring device (1), wherein the monitoring device (1) is designed as man-overboard monitoring of a ship section (4), wherein the monitoring device has at least one camera (5a, 5b) for video-monitoring the ship section (4) and for providing video data, wherein the camera (5a, 5b) has at least one intrinsic calibration parameter (11) and at least one extrinsic calibration parameter (12), wherein the video data is provided to the calibration unit (2), comprising an input module (9) for a user to input one or more calibration elements (10) and comprising an evaluation module (8), wherein the evaluation module (8) is designed to determine the unknown calibration parameters (11, 12) based on the calibration elements (10), in particular their orientation and/or extension.

Embodiments disclose systems and methods for testing and determining outages of communication systems. A server can receive signal-reception-related information from set-top boxes (STBs) in a particular geographical region, where a STB: receives signals having a predefined pattern, generates a comparison of the predefined pattern to reference patterns stored on the STB, generates the signal-reception-related information based on the comparison, and sends the signal-reception-related information. The server can determine an outage status for the particular geographical region based on the signal-reception-related information. The server can generate an output based on the outage status. The output is configured to provide information related to the outage status of the particular geographical region and information for possible responses related to the outage status. The server can send the output.

A method of generating a moving thumbnail is disclosed. The method includes sampling video frames of a video item. The method further includes determining frame-level quality scores for the sampled video frames. The method also includes determining multiple group-level quality scores for multiple groups of the sampled video frames using the frame-level quality scores of the sampled video frames. The method further includes selecting one of the groups of the sampled video frames based on the multiple group-level quality scores. The method includes creating a moving thumbnail using a subset of the video frames that have timestamps within a range from the start timestamp to the end timestamp.

A method of calibrating a display system, the method comprising: displaying a test pattern including a plurality of blobs; detecting one or more base blobs in the displayed test pattern; identifying, based on the detected base blobs, patches of the test pattern, wherein each patch comprises one of the base blobs and a subset of additional blobs detected in the displayed test pattern; determining a patch location for at least one patch within the test pattern based on the subset of the additional blobs in the patch to determine a blob location for at least one detected blob; determining a calibration parameter for the display system based on the blob location and a detected attribute of the at least one detected blob; and calibrating the projector using the calibration parameter.

A method of calibrating a display system, the method comprising: displaying a test pattern including a plurality of blobs; detecting one or more base blobs in the displayed test pattern; identifying, based on the detected base blobs, patches of the test pattern, wherein each patch comprises one of the base blobs and a subset of additional blobs detected in the displayed test pattern; determining a patch location for at least one patch within the test pattern based on the subset of the additional blobs in the patch to determine a blob location for at least one detected blob; determining a calibration parameter for the display system based on the blob location and a detected attribute of the at least one detected blob; and calibrating the projector using the calibration parameter.

An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.