Abstract: A system may track a person at a location across multiple cameras in real time, while maintaining identification of the person through their visit. The person may not be personally identified; however, the person's presence in video frames captured by different cameras may be linked together. The linked frames may be evaluated by one or more analytics applications. For example, an analytics application may determine a trajectory of a person through a location and plot an overlay of that person's trip through the location on the map. This information may be used, for example, to optimize store layout, asset protection purposes, for counting a number of people at the location at a given time (e.g., for understanding busy hours of the location), determining whether social distancing or other health and/or safety measures may be in compliance, etc.

Abstract: Systems and methods are described herein for displaying subjects of a portion of content and searching for content related to a particular subject in the content. Media data of content is analyzed during playback, and a number of action signatures are identified. Each action signature is associated with a particular subject within the content. The action signature is stored, along with a timestamp corresponding to a playback position at which the action signature begins, in association with an identifier of the particular subject. Upon receiving a command, icons representing each of a number of action signatures at or near the current playback position are displayed. Upon receiving user selection of an icon corresponding to a particular signature, a portion of the content corresponding to the action signature is played back or a search interface is displayed including autocomplete suggestions related to the subject of the signature.

Abstract: An example method includes receiving, from one or more sensors associated with an autonomous vehicle, sensor data associated with a target object in an environment of the vehicle during a first environmental condition, where at least one sensor of the sensor(s) is configurable to be associated with one of a plurality of operating field of view volumes. The method also includes based on the sensor data, determining at least one parameter associated with the target object. The method also includes determining a degradation in the parameter(s) between the sensor data and past sensor data, where the past sensor data is associated with the target object in the environment during a second environmental condition different from the first and, based on the degradation, adjusting the operating field of view volume of the at least one sensor to a different one of the operating field of view volumes.

Abstract: Adaptive resolution change and scalable coding for screen contents are described. One example is a method for video processing, comprising: determining, for a conversion between a picture or a video and a bitstream representation of the picture or the video, whether the picture or the video is native resolution based on an indication included in the bitstream representation; and performing the conversion based on the determination.

Abstract: Methods, systems and computer program products, for processing a stream of image frames captured by a camera system. A hardcoded alert image frame is generated in response to detecting an event. The hardcoded alert image frame includes motion deltas and/or color changes with respect to an event image frame. A stream of encoded image frames is generated, in which stream the hardcoded alert image frame is inserted in display order after the encoded event image frame.

Abstract: The present invention provides a method and apparatus for encoding/decoding an image to enhance inter prediction. According to the present invention, the method includes: determining a first reference picture and a second reference picture of a current block; determining both a first reference block in the first reference picture and a second reference block in the second reference picture; partitioning the current block into a plurality of sub blocks; and obtaining a prediction block of each of the sub blocks on the basis of reference candidate block index information of each of the sub blocks.

Abstract: The present invention relates in general to microscopy systems. In particular, the present invention relates to microscopes rendering digital images of samples, with the capability to digitally control the focus of the microscope system, and the software used to control the operation of the digital microscope system. Further, the present invention relates to a microscope structure that allows for compact and multi-functional use of a microscope, providing for light shielding and control with samples that require specific light wavelength characteristics, such as fluorescence, for detection and imaging. The microscope is adjustable, with a structure that can move along range(s) of motion and degree(s) of freedom to allow for ease of access to samples, shielding of samples, and manipulation of a display apparatus.

Abstract: In a video encoding and decoding process, provided are a method and apparatus for determining whether a slice including an adjacent pixel located at the upper-left or lower-right side of a current pixel from among adjacent pixels used for an adaptive loop filter of the current pixel is different from a slice including the current pixel, when the slice including the adjacent pixel at the upper-left or lower-right location is different from the slice including the current pixel, determining a value of the adjacent pixel located at the upper-left or lower-right side as a value of a closest pixel in a horizontal direction of the adjacent pixel located at the upper-left or lower-right side from among pixels included in the slice including the current pixel, determining an adaptive loop filter including a filter coefficient for the current pixel and the adjacent pixels based on values of the current pixel and the adjacent pixels, correcting the value of the current pixel by using the values of the adjacent pixels,

Abstract: A method of filtering reconstructed video data including inputting a reconstructed luma picture sample array, setting a luma location corresponding to a current chroma sample to a location defined by a horizontal location in the chroma sample multiplied by a sub-width value and a vertical location in the chroma sample multiplied by a sub-height value, deriving luma sample locations inside the reconstructed luma picture sample array by using the luma location, and deriving a variable by using cross-component filter coefficients and the reconstructed luma picture sample array defined by at least one of the luma sample locations. The variable is modified by using a current chroma block of samples.

Abstract: A method of building a video surveillance system for object detection and tracking relates to the field of computer vision, and to methods and means of detecting and tracking moving objects, for example, persons. The method consists in special adjustment of each camera of a video surveillance system by means of calibration elements, linking cameras to the location plan, plotting a coordinate match of a coordinate system of a two-dimensional image of each camera with a three-dimensional system of coordinates of a location plan, for example premises; detecting and tracking objects of interest. The method makes it possible to construct motion tracks of objects of interest in the coordinate system of the location plan by means of multicamera surveillance, to analyze the nature of behavior and motion of objects, assess their interaction and individual parameters, as well as to calculate the quantity thereof in location regions of interest.

Abstract: A system including an acceleration device including input circuitry configured, for each of a first plurality of video frames to be encoded, to receive an input including at least one raw video frame and at least one reference frame, and to divide each of the first plurality of video frames to be encoded into a second plurality of blocks, and similarity computation circuitry configured, for each one of the first plurality of video frame to be encoded: for each the block of the second plurality of blocks, to produce a score of result blocks based on similarity of each the block in each frame to be encoded to every block of the reference frame, and a displacement vector. Related apparatus and methods are also provided.

Abstract: A method for surveilling with a vehicle includes receiving an area-of-interest data from a vehicle user. The area-of-interest data delineates a virtual fence around the vehicle. The virtual fence is boundary of an area of interest around the vehicle. The vehicle is parked adjacent to an infrastructure. The method further includes receiving sensor data from a sensor of the vehicle that is monitoring the area of interest. Further, the method includes detecting a predetermined activity by a predetermined object of interest within the area of interest based on the sensor data received from the sensor of the vehicle. Also, the method includes notifying the vehicle user of the predetermined activity sensed using the sensor of the vehicle.

Abstract: A remote operator that remotely assists in traveling the autonomous traveling vehicle refer to a remote monitoring terminal. A remote monitoring device acquires data of a plurality of sensors mounted on the autonomous traveling vehicle, executes an image generation processing for generating an around-view of the vehicle by processing the data, calculates the lane width of the lane traveled by the vehicle based on the map information, calculates the vehicle width ratio of the vehicle with respect to the lane width, and when the vehicle width ratio is greater than a predetermined determination threshold, provides the generated around-view by the image generation processing to the remote monitoring terminal.

Abstract: A method for monitoring a surveillance area includes receiving a plurality of video streams that are captured by a plurality of video cameras in the surveillance area, each of the plurality of video streams capturing one or more objects in the surveillance area that are within a camera field of view (FOV) of the corresponding video camera and from a camera vantage point of the corresponding video camera. A vantage point transformation is applied to each of two or more objects captured in two or more of the plurality of video streams, the vantage point transformation transforming a view of each of the two or more objects from the camera vantage point of the corresponding video camera to a common vantage point. The transformed view of each of the two or more objects from the common vantage point is rendered on a display.

Abstract: The in-vehicle camera includes an image sensor, a shutter, an image processing unit, and an exposure control unit. The image sensor includes multiple pixels to collect optical information. The shutter is a front curtain electronic type that includes a front curtain of an electronic type and a rear curtain of any type. An electronic controller starts collection of optical information in each pixel thereby opening the shutter. The image processing unit generates an image based on the optical information as collected. The exposure control unit controls the shutter to allow shutter times, during which the shutter is open for first and second image sensor areas obtained by dividing pixels P of the image sensor 15 into multiple areas, to be different from each other.

Abstract: A vehicle image control apparatus for an image of a vehicle camera equipped with no image signal processor (ISP) and a method thereof, includes a first image controller equipped with a first ISP that performs image processing, supplies power to a camera device provided in a vehicle and equipped with no ISP, and the camera device obtains a surrounding image of the vehicle and transmits the surrounding image to the first image controller. The first image controller selectively shares the surrounding image with a second image controller equipped with a second ISP that performs image processing. Accordingly, it is possible to implement an efficient vehicle image-related system such that a plurality of controllers share one or more cameras equipped with no ISP.

Abstract: A video decoding method performed by a decoding apparatus according to the present document may comprise the steps of: obtaining, from a bitstream, information indicating a level value of a transform coefficient in a current block; selecting one Rice parameter look-up table for the information indicating the level value of the transform coefficient, from among a plurality of Rice parameter look-up tables; deriving a Rice parameter for the information indicating the level value of the transform coefficient on the basis of the selected Rice parameter look-up table; deriving a bin string for the information indicating the level value of the transform coefficient on the basis of the Rice parameter; and deriving the level value of the transform coefficient on the basis of the bin string.

Abstract: A system and method are provided for inter-ceding video in which encoder and decoder memory requirements associated with storage of motion information related to collocated coding units is reduced. In some embodiments motion information related to only a single collocated coding unit may be stored at the encoder and decoder. In operation, if the encoder determines that motion information for a current coding unit should replace the currently stored motion information for the currently stored motion information for the collocated coding unit, then the encoder can replace the motion information at the encoder and transmit an indicator with the current coding unit to signal to the decoder that the motion information currently stored should be updated or replaced with the motion information associated with the current coding unit.

Abstract: Systems, apparatuses, and methods are described for encoding a scene of media content based on visual elements of the scene. A scene of media content may comprise one or more visual elements, such as individual objects in the scene. Each visual element may be classified based on, for example, the motion and/or identity of the visual element. Based on the visual element classifications, scene encoder parameters and/or visual element encoder parameters for different visual elements may be determined. The scene may be encoded using the scene encoder parameters and/or the visual element encoder parameters.

Abstract: An interactive user interface, such as a remote terminal user interface, is compressed prior to transmission to a video client. The compression may be performed independently of any other video that may be simultaneously transmitted to the video client. At the client side, two compressed video streams (remote user interface and video content) may be decompressed independently of each other. In some cases, technology already existing in some client devices, such as picture-in-picture (PiP) capability, may be leveraged to decompress the received compressed remote user interface without needing to modify the hardware of those client devices.