Abstract: An imaging control apparatus that controls an imaging apparatus that includes and drives a pan drive unit, a tilt drive unit, and a lens drive unit, the imaging control apparatus includes a detection unit configured to detect a subject from a captured image, a distance acquisition unit configured to acquire at least one distance between the detected subject and a plurality of other subjects, and a control unit configured to switch between a first control over the imaging apparatus capturing an image and a second control different from the first control over the imaging apparatus capturing an image based on the acquired distance between the subjects, wherein the first control tracks the subject in images being captured by the imaging apparatus, and wherein the second control sets a composition of the images being captured by the imaging apparatus to a predetermined composition.

Abstract: Aspects of the present disclosure generally relate to systems and processes for classifying objects in an airspace. The system may include a memory and at least one computing device in communication with the memory. The computing device may receive data corresponding to tracks of identified objects in an airspace from a RADAR system. The computing device may generate a set of prioritization scores for each track. The computing device may generate aggregate prioritization scores based on the individual prioritization scores. The system may adjust the positioning of a pan-tilt-zoom camera based on the aggregate prioritization scores.

Abstract: A decoder for decoding texels of a p by q sub-block from a block of ASTC encoded texture data representing an n by m block of texels, where p?n and q?m. The decoder determines a position of a first texel of the sub-block with respect to the rows and/or columns of a weight grid comprising a first plurality of weights in a first plane; determines a position of a second texel of the sub-block with respect to the rows and/or columns of the weight grid; compares the positions of the first and second texels; extracts fewer than (p+1)(q+1) weights in response to determining that the positions of the first and second texels are between the upper-most and lower-most rows of a predetermined number of adjacent rows of the weight grid and/or the left-most and right-most columns of a predetermined number of adjacent columns of the weight grid; and decodes the texels in dependence on the extracted weights.

Abstract: Different visual content simultaneously output for viewing to different people within a physical location (e.g., a conference room) is determined based on viewing angles of those people relative to a display of the physical location. In one approach, viewing angles of conference participants are determined with respect to a three-dimensional glasses-less display within a physical location. First content to output at the three-dimensional glasses-less display for viewing by a first set of the conference participants is determined. Second content to output at the three-dimensional glasses-less display for viewing by a second set of the conference participants is determined. The three-dimensional glasses-less display is then caused to simultaneously output the first content and the second content in a manner that limits visibility of the first content to the first set of the conference participants and visibility of the second content to the second set of the conference participants.

Abstract: A device for decoding encoded mesh data determines, based on the encoded mesh data, a base mesh; determine, based on the encoded mesh data, a set of coefficients; receives in the encoded mesh data a quantization parameter value; determines an inverse scaling factor based on the quantization parameter value; performs an inverse scaling, based on the inverse scaling factor and using integer precision arithmetic, on the set of coefficients to determine a set of de-quantized coefficients; determines a displacement vector based on the set of de-quantized coefficients; deforms the base mesh based on the displacement vector to determine a decoded mesh; and outputs the decoded mesh.

Abstract: The image decoding method according to the present invention comprises the steps of: determining the availability of a block adjacent to a current block; configuring a merge candidate list for the current block on the basis of the result of the determined availability; and performing motion compensation for the current block on the basis of the merge candidate list, wherein the step of determining availability comprises the steps of inducing block availability information on the adjacent block and inducing the availability of motion information on the adjacent block, and the step of determining the availability of the adjacent block is such that when there is more than one adjacent block, the availability of adjacent blocks can be determined in accordance with a predetermined order restriction.

Abstract: A medical control device includes: a driving mode switch configured to switch a driving mode of a rolling shutter type image sensor in which a plurality of pixels are two-dimensionally arrayed in units of horizontal lines; and a dimming controller configured to control a light emitting element configured to emit light according to a supplied current, and switch control of the light emitting element according to the driving mode.

Abstract: Techniques are described for using computing devices to perform automated operations involving, for an image acquired at a building and having visual data that shows portions of multiple separate rooms or other spatial regions at the building, automatically analyzing and manipulating visual data of the image to perform white balancing corrections separately for different parts of the image corresponding to the different spatial regions, such as to separately correct for different illumination levels in the different spatial regions. The described techniques may further include using one or more resulting modified images with white balancing corrections in one or more further automated manners, such as to determine one or more types of building information (e.g., a building floor plan) for an as-built multi-room building, and optionally further using the determined building information to provide navigational data for the building.

Abstract: The present disclosure relates to a method of analysing a plurality of video camera feeds, the method comprising: encoding, at a first location, the plurality of video camera feeds using a layer-based encoding, including generating encoded data streams for each of a plurality of layers within the layer-based encoding, wherein different layers in the plurality of layers correspond to different spatial resolutions, higher layers representing higher spatial resolutions; transmitting, to a second location remote from the first location, encoded data streams for one or more lowest layers for the plurality of video camera feeds; decoding, at the second location, the encoded data streams to generate a set of reconstructions of the plurality of video camera feeds at a first spatial resolution; applying one or more video analysis functions to the set of reconstructions to identify one or more video camera feeds for further analysis; sending, to the first location for the identified one or more video camera feeds for f

Abstract: A self-checkout system and techniques for illuminating one or more items placed within a predefined zone of the self-checkout system are provided. In one aspect, a self-checkout system includes one or more cameras, a light source, and a computing device. The computing device is configured to implement an operation, including: receiving one or more images of one or more items placed within the predefined zone, the images being captured by the cameras; determining an identity of the one or more items placed within the predefined zone, based at least in part on the captured images; and causing the light source to project an illuminated indicator onto at least one item of the one or more items placed within the predefined zone, based on the identity of the at least one item.

Abstract: A system and method for automatically capturing and replaying images. The method is applied to the system to automatically capture and replay an image of a sporting motion. The system includes a signal sensing device installed at a handheld sport equipment for sensing a sporting motion of the player holding the handheld sport equipment so as to output a sensing signal. The method includes steps of: capturing a sporting video of the sporting motion of the player holding the handheld sport equipment by an image capturing device; identifying a strike motion conforming to a specific strike from the sensing signal by an electronic device; automatically extracting a swing image corresponding to the strike motion from the sporting video captured by the image capturing device by the electronic device; and playing the swing image.

Abstract: Systems and methods are described which provide a film through scope camera mount including a housing that includes a beam splitter, first and second mirrors, and a sensor. The camera mount system may receive an input optical signal from a first direction; split the input optical signal using the beam splitter such that a first portion of the input optical signal may be communicated out of the camera mount system in a second direction and a second portion of the input optical signal may be reflected lateral to the first direction; reflect the reflected signal vertically using the first mirror; reflect the vertically reflected signal in a second lateral direction using the second mirror; and receive the signal reflected by the second mirror in the sensor, which may comprise a visible light sensor and/or an infrared sensor.

Abstract: A sparse motion field exchanges motion information between encoder and decoder. Side information indicates a suitable interpolation approach for interpolating the motion vectors of the dense motion field different from the signaled sparse motion field motion vectors. The side information is provided on a segment basis. The segments are derived at the encoder side and the decoder side similarly, based on the reference images and the sparse motion field.

Abstract: The present disclosure relates to a weather protection cover for a horizontally arranged display unit of a field device of process and automation technology. The weather protection cover includes a protective unit, which is arrangeable in such a manner that at least a first section of the protective unit lies opposite the display unit and at least the first section protects the display unit against weather influences. The weather protection cover includes at least one reflecting component, which is arranged and embodied in such a manner that the reflecting component reflects a display of the display unit, such that the display is observable perpendicularly to the display unit.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. In one method, a decoder obtains a first flag that indicates whether a template-based intra mode derivation (TIMD) mode is applied to a current video block; and in response to determining that the TIMD mode is applied to the current video block based on the first flag, the decoder obtains a set of candidate list for the TIMD mode, where the set of candidate list includes a set of reference line list or a set of template candidate list.

Abstract: The present disclosure relates to remote medical examination of a patient, and, more specifically, to a remote exam attachment that, along with a user device, may capture images of an anatomical feature for examination of a patient. The remote exam attachment may include a lens and may couple to an examination tool, such as a speculum, a scope, or a tongue depressor, which may be used with a camera of the user device. The user device may be configured to adjust one or more settings of the camera, such as the zoom, field of view, aperture, and/or the like. The user device may further be configured to transmit an image captured in conjunction with the remote exam attachment to another user device. Accordingly, the remote exam attachment, along with the user device, may capture, display, and/or transmit images of an anatomical feature, facilitating remote examination of a patient.

Abstract: A video decoding method is applied to a decoder device to decode an encoded stream stored in memory. The decoder device includes a video decoder, a memory controller and a processor. The video decoding method includes: setting, by the memory controller, a decoded picture buffer in the memory according to a maximum number X of reference frames in the encoded stream, wherein the decoded picture buffer includes X+1 picture buffer areas, each picture buffer area is configured to store a decoded image, and X is a positive integer; determining an idle picture buffer area in the decoded picture according to status information of the decoded picture buffer; and controlling the video decoder to decode a current frame in the encoded stream to obtain a decoded image of the current frame and storing the decoded image of the current frame to the idle picture buffer area.

Abstract: A video decoding method is disclosed. The method includes: determining a partitioning structure of the target block; reconstructing motion vectors, which correspond to a plurality of partitions split from the target block by the partitioning structure of the target block; using the motion vectors to generate prediction blocks that respectively correspond to the partitions and are equal in size to the target block; generating a prediction block of the target block by weighted averaging the prediction blocks corresponding to the partitions; and reconstructing the target block based on the prediction block of the target block.

Abstract: A device may be configured to perform spatial extrapolation based on information included in a neural-network post-filter characteristics message. In one example, a neural-network post-filter characteristics message includes a syntax element indicating a purpose of the neural-network post-filter characteristics message is spatial extrapolation. In one example, a neural-network post-filter characteristics message includes a syntax element specifying a text string prompt used for generating contents of a spatial extrapolation image area.

Abstract: A wearable device is provided. The wearable device includes a plurality of light sources configured to emit light toward an eye of a user wearing the wearable device. The wearable device includes a camera configured to capture images of at least a part of the eye of the user wearing the wearable device. The wearable device includes at least one processor comprising processing circuitry. The wearable device includes memory, comprising one or more storage mediums, storing instructions. The wearable device performs eye tracking based on the images captured by the camera while the plurality of the light sources are controlled to emit light toward the eye of the user. The wearable device performs iris recognition based on at least one image captured by the camera while a portion of the plurality of the light sources is controlled to emit light toward the eye of the user and a remaining portion of the plurality of the light sources is deactivated.