Abstract: A method of generating a time-lapse video includes: identifying an image storage mode; obtaining a first image; based on identifying that the image storage mode is an emphasis mode for emphasizing one or more images, obtaining a first time difference between the first image and a stored image, and a first feature value indicating a first amount of change between the first image and the stored image; for each respective image of a first plurality of images of a first image group stored in a memory, identifying a second image from among the first plurality of images, based on a second time difference and a second feature value; generating a second image group by removing the second image from the first image group and adding the first image to the first image group; and generating the time-lapse video by using a second plurality of images of the second image group.

Abstract: An imaging system including a front aperture, two or more refractive lens elements mounted in a lens barrel, and a photosensor. One or more of the components of the imaging system (e.g., the aperture, lenses, lens groups, and/or photosensor) are tilted with respect to each other and/or with respect to a center (or mechanical) axis of the imaging system to compensate for effects including but not limited to keystone distortion, resolution non-uniformity, and gradient blur that result from tilt of an object in the field of view of the camera with respect to the center axis of the camera.

Abstract: A sensor assembly includes a sensor including a sensor lens, the sensor lens defining an axis; a housing panel including an aperture centered on the axis, the sensor lens being recessed from the aperture along the axis; and an air nozzle positioned between the aperture and the sensor lens along the axis and oriented to blow horizontally across the sensor lens. The aperture and the sensor lens define a gap positioned on an opposite lateral side of the sensor lens from the air nozzle.

Abstract: A method for generating a slow motion video. The method includes segmenting, by an electronic device, objects in the video. Further, the method includes determining, by the electronic device, an interaction between the segmented objects. Further, the method includes clustering, by the electronic device, the segmented objects in the video to generate object clusters based on the interaction. Further, the method includes determining, by the electronic device, a degree of slow motion effect to be applied to each of the object clusters in the video based on a significance score of each of the object clusters. Further, the method includes generating, by the electronic device, the slow motion video by applying the degree of slow motion effect to that has been determined to corresponding the object clusters.

Abstract: Embodiments are directed to a snap point segmentation that defines the locations of selection snap points for a selection of video segments. Candidate snap points are determined from boundaries of feature ranges of the video indicating when instances of detected features are present in the video. In some embodiments, candidate snap point separations are penalized for being separated by less than a minimum duration corresponding to a minimum pixel separation between consecutive snap points on a video timeline. The snap point segmentation is computed by solving a shortest path problem through a graph that models different snap point locations and separations. When a user clicks or taps on the video timeline and drags, a selection snaps to the snap points defined by the snap point segmentation. In some embodiments, the snap points are displayed during a drag operation and disappear when the drag operation is released.

Abstract: Example embodiments relate to calibration systems for light detection and ranging (lidar) devices. An example calibration system includes a calibration target that includes a surface having at least one characterized reflectivity. The surface is configured to receive one or more calibration signals emitted by a lidar device along one or more optical axes when the lidar device is separated from the calibration target by an adjustable distance. The calibration system also includes at least one lens that modifies the one or more calibration signals. In addition, the system includes an adjustable attenuator configured to attenuate each of the one or more calibration signals to simulate, in combination with the at least one lens, a distance that is greater than the adjustable distance. Further, the system includes a calibration controller configured to analyze data associated with detected reflections of the one or more calibration signals.

Abstract: A system for remotely controlling microscopic machinery and a method thereof are provided. The system includes at least one local device and a remote host for sending a control command thereto. A microslide is placed on a microscopic camera device in the local device, and the microscopic camera device captures an image of the microslide according to a capture command in the control command. The local device transmits the image to the remote host in a video format. A motorized stage moves to a next preset position according to a movement command in the control command to capture another image of the microslide. The steps of capturing and transmitting the image and the step of moving are repeated until the microslide is captured completely. The invention can solve the problem of time delay when the image captured by the remote control microscopic camera device is displayed.

Abstract: Embodiments are directed to segmentation and hierarchical clustering of video. In an example implementation, a video is ingested to generate a multi-level hierarchical segmentation of the video. In some embodiments, the finest level identifies a smallest interaction unit of the video—semantically defined video segments of unequal duration called clip atoms. Clip atom boundaries are detected in various ways. For example, speech boundaries are detected from audio of the video, and scene boundaries are detected from video frames of the video. The detected boundaries are used to define the clip atoms, which are hierarchically clustered to form a multi-level hierarchical representation of the video. In some cases, the hierarchical segmentation identifies a static, pre-computed, hierarchical set of video segments, where each level of the hierarchical segmentation identifies a complete set (i.e., covering the entire range of the video) of disjoint (i.e.

Abstract: In one aspect, an example method includes (i) estimating, using a skeletal detection model, a pose of an original actor for each of multiple frames of a video; (ii) obtaining, for each of a plurality of the estimated poses, a respective image of a replacement actor; (iii) obtaining replacement speech in the replacement actor's voice that corresponds to speech of the original actor in the video; (iv) generating, using the estimated poses, the images of the replacement actor, and the replacement speech, synthetic frames corresponding to the multiple frames of the video that depict the replacement actor in place of the original actor, with the synthetic frames including facial expressions for the replacement actor that temporally align with the replacement speech; and (iv) combining the synthetic frames and the replacement speech so as to obtain a synthetic video that replaces the original actor with the replacement actor.

Abstract: An automated log scaling system and method. One or more imagers may capture depictions of respective first ends and/or second ends of a plurality of logs, and use the captured depictions to scale the plurality of logs. A diameter value for each end of the log may be determined using the captured depictions. Relative location values for each captured end may be determined and used to form a length of each log. Information captured in the images is used to identify the type of tree or species of tree for each log. At least one of the diameter values may be multiplied by the determined log length, and the resulting product value may be compared to values in a log scaling chart to determine a value for the log. The value of multiple logs may be used to form a load of logs for distribution.

Abstract: An electronic device and a control method thereof are provided.

Abstract: A method for generating a slow motion video. The method includes segmenting, by an electronic device, objects in the video. Further, the method includes determining, by the electronic device, an interaction between the segmented objects. Further, the method includes clustering, by the electronic device, the segmented objects in the video to generate object clusters based on the interaction. Further, the method includes determining, by the electronic device, a degree of slow motion effect to be applied to each of the object clusters in the video based on a significance score of each of the object clusters. Further, the method includes generating, by the electronic device, the slow motion video by applying the degree of slow motion effect to that has been determined to corresponding the object clusters.

Abstract: Provided is a method including providing a first audio content object that includes a plurality of audio content segments to a set of user computing devices. Each audio content segment of the plurality of audio content segments is associated with a first version. The method also includes obtaining a second version of a first audio content segment and updating the first version of the first audio content segment to the second version to generate a second audio content object that includes the second version of the first audio content segment and at least a first version of a second audio content segment. The method also includes providing the second audio content object to at least a first portion of the set of user computing devices and indicating a version history of the first audio content segment to at least the first portion of the set of user computing devices.

Abstract: Systems and techniques are described for processing media content, such as samples of sparse media content whose sample durations can be unknown at the time of decoding the samples, include obtaining, at a current time instance, a current fragment comprising at least a current time component. From the current time component, a modified duration is obtained for at least one media sample, the modified duration indicating a time duration by which a presentation of a previous media sample of a previous fragment is to be extended or reduced in relation to the current time instance. The at least one media sample is presented for a time duration based on the modified duration.

Abstract: A video edit may include two videos arranged in a sequence. Motion within the one or both of the videos may be assessed. A transition effect may be selected based on the motion assessed within the video(s), and the video edit may be modified to include the transition effect between the videos. The transition effect may emphasize the motion assessed within the video(s) and/or create continuity of motion during transition between the two videos within the video edit.

Abstract: Various embodiments facilitate the creation and presentation of a virtual experience. In one embodiment, the virtual experience is assembled from user model data corresponding to a three-dimensional representation of a user, user movement data corresponding to at least one movement characteristic of the user, user voice data corresponding to at least one vocal characteristic of the user, environment data corresponding to a three-dimensional representation of a location, and event data corresponding to a captured event at the location. The virtual experience is a virtual recreation of the captured event at the location, with the three-dimensional representation of the user, the vocal characteristic of the user, and the movement characteristic of the user inserted into the captured event.

Abstract: A mechanism is described for facilitating cinematic space-time view synthesis in computing environments according to one embodiment. A method of embodiments, as described herein, includes capturing, by one or more cameras, multiple images at multiple positions or multiple points in times, where the multiple images represent multiple views of an object or a scene, where the one or more cameras are coupled to one or more processors of a computing device. The method further includes synthesizing, by a neural network, the multiple images into a single image including a middle image of the multiple images and representing an intermediary view of the multiple views.

Abstract: A system, method, and computer-readable media for obtaining the informed consent of a patient for a medical procedure. Specifically, a video describing a medical procedure may be provided to the patient through a client device having two display portions. As the video is playing in a first portion, the client device may capture the patient watching the video and display the captured image on the second portion. The entire display of the client device may be recorded, providing a record that the patient has watched the video describing the medical procedure and consents to the medical procedure.

Abstract: Video output is synchronized to the actions of a user by determining positions of the user's body based on acquired video of the user. The positions of the user's body are compared to the positions of a body shown in the video output to determine corresponding positions in the video output. The video output may then be synchronized so that the subsequent output that is shown corresponds to the subsequent position attempted by the user. The rate of movement of the user may be used to determine output characteristics for the video to cause the body shown in the video output to appear to move at a similar rate to that of the user. If the user moves at a rate less than a threshold or performs an activity erroneously, the video output may be slowed or portions of the video output may be repeated.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that utilize screen capture to identify media. Example meter devices disclosed herein are to, in response to determining a media device is powered on, monitor a media device to detect audio output by the media device. Disclosed example meter devices are also to, in response to audio not being detected for a period of time, instruct an image capture device to capture image data representative of a media presentation by the media device. Disclosed example meter devices are also to instruct the image capture device to stop capturing the image data in response to detection of audio output by the media device. Disclosed example meter devices are also to determine, based on whether the image data corresponds to a menu presentation by the media device, whether to transmit the image data to a central facility for media identification.