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.

Abstract: Depth sensors comprising a focal plane array with photosites (PSs) directed in different directions, each PS operable to detect light arriving from an instantaneous field of view (IFOV) of the PS, a readout-set of readout circuitries (ROCs), each ROC coupled to readout-group PSs by multiple switches and operable to output an electric signal indicative of an amount of light impinging on the readout-group PSs when the read-out group is connected to the respective ROC via at least one of the switches, a controller operable to change switching states of the switches, such that at different times different ROCs of the readout-set are coupled to the readout-group and are exposed to reflections from different distances, and a processor operable to obtain the electric signals from the readout-set indicative of detected levels of reflected light collected from the IFOVs of the readout-group and to determine depth information for an object.

Abstract: An image processing system may comprise a global shutter camera, an illumination emitter, and a processing system comprising at least one processor and memory. The processing system may be configured to control the image processing system to: control the illumination emitter to illuminate a scene; control the global shutter camera to capture a sequence of images of the scene, wherein the captured sequence of images includes images that are captured without illumination of the scene by the illumination emitter and images that are captured while the scene is illuminated by the illumination emitter; and determine presence of an object in the scene based on comparison of the images captured without illumination of the scene and images captured with illumination of the scene.

Abstract: A vehicular display system includes an electronic control unit (ECU), a plurality of cameras including a driver-side rear corner camera and a passenger-side rear corner camera disposed at respective driver-side and passenger-side rear corner regions of the vehicle. The ECU includes an image processor operable to process image data captured by any of the plurality of cameras and generate video images. A video mirror display screen is disposed at an interior rearview mirror assembly of the vehicle and is operable to display video images provided by the ECU. Responsive to a triggering event, the ECU, via processing of image data captured by at least one of the driver-side and passenger-side rear corner cameras, generates cross-traffic view video images and provides the cross-traffic view video images to the video mirror display screen. The cross-traffic view video images are displayed in a split-screen format at the video mirror display screen.

Abstract: An image processing system is configured to receive a first high resolution stream of images and a second lower resolution stream of images from image sources with substantially the same field of view. The system comprises a localizer component configured to provide a location for any object of interest independently of class within successive images of the second stream of images; a classifier configured to: receive one or more locations selectively provided by the localizer, identify a corresponding portion of an image acquired from the first stream at substantially the same time at which an image from the second stream in which an object of interest was identified and return a classification for the type of object within the identified portion of the image from the first stream; and a tracker configured to associate the classification with the location through acquisition of successive images in the second stream.

Abstract: An endoscope includes: an imaging controller configured to drive in a first operation mode for operating an imager in accordance with an input first clock signal or in a second operation mode for operating the imager in accordance with an input second clock signal different from the first clock signal; a switch configured to output, to the imaging controller, a switching signal for switching the previously set second operation mode to be driven by the imaging controller to the first operation mode; and a first generator configured to generate a first enable signal causing the switch to output the switching signal based on the first clock signal when the first clock signal is input from an external processing device, and output the generated first enable signal to the switch.

Abstract: Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

Abstract: The invention relates to a system and method for estimating global rig state. The system comprises a model incorporating multiple variables related to rig state, at least one camera operably connected to at least one processor wherein said camera is capable of gathering visual data regarding at least one variable of rig state and said processor is capable of compiling rig state data, estimating global rig state, or both. The system further comprises multiple sensors for measuring variables related to global rig state wherein said sensors are operably connected to said processor. The method comprises sensing various aspects of the rig state, collecting visual data corresponding with said sensor data, compiling multiple sources of rig data, and estimating the overall rig state.

Abstract: The present invention relates to an image encoding/decoding method and apparatus. An image encoding method according to the present invention may comprise generating a transform block by performing at least one of transform and quantization; grouping at least one coefficient included in the transform block into at least one coefficient group (CG); scanning at least one coefficient included in the coefficient group; and encoding the at least one coefficient.

Abstract: Multiple cameras within a vehicle, such as placed at multiple locations inside and/or outside a bus or semi-truck and trailer, may be chained together to provide a consolidated video stream that may be recorded and/or transmitted wirelessly to a cloud storage device. Rather that each of the cameras independently recording and/or streaming video content, each camera may be configured to deserialize an input video to identify video streams from separate cameras (e.g., such as based on associate virtual channel identifiers) and reserialize its own video stream with the other video streams in the received input. The serialized video stream is then transmitted to a next camera in the daisy chain and/or a video storage device.

Abstract: Each remote operation robot includes: an imaging direction detection unit configured to detect an imaging direction of a camera, an imaging direction information generation unit configured to generate imaging direction information indicating the imaging direction detected by the imaging direction detection unit, an imaging direction information transmission unit configured to transmit imaging direction information to another remote operation robot, an imaging direction information reception unit configured to receive the imaging direction information from another remote operation robot, and an imaging direction control unit configured to control the imaging direction of the camera based on the imaging direction information received by the imaging direction information reception unit in such a way that the imaging direction of the camera of the own robot is synchronized with the imaging direction of the camera of the robot that has transmitted the imaging direction information received by the imaging direction

Abstract: There are provided an apparatus and a method for generating a panorama image. The apparatus includes: a Region Of Interest (ROI) selecting block for receiving a plurality of images, and outputting ROI images by selecting an ROI of each of the plurality of images; a High Dynamic Range (HDR) processing block for performing HDR processing on the ROI images; and a panorama image generating block for generating a panorama image by stitching the plurality of images using a matching coordinate of the ROI images on which the HDR processing is performed. The HDR processing block performs the HDR processing on the panorama image.

Abstract: A method includes performing a conversion between a video comprising a video unit and a bitstream of the video, wherein the bitstream conforms to a format rule, and wherein the format rule specifies that a first syntax element indicating whether an in-loop filtering operation is performed across tile boundaries is selectively included in the bitstream based on whether or how the video unit is partitioned into tiles.

Abstract: The system described herein includes a vehicle comprising one or more imaging devices configured to capture one or more images, and a first mobile computing device communicatively coupled to the vehicle. The first mobile computing device includes one or more processors; one or more memory modules; and machine readable and executable instructions that, when executed by the one or more processors, cause the first mobile computing device to: receive the one or more images including an external object from the vehicle; process the image to determine an identification of the external object; and transmit information about the identification of the external object to a remote server or the vehicle.

Abstract: An example method of decoding video data includes obtaining, from a coded video bitstream and for a current block of the video data, an indication of an intra-prediction mode that identifies an initial predictive block; filtering, in parallel, samples in a current line of a plurality of lines of the initial predictive block based on filtered values of samples in a preceding line of the plurality of lines and unfiltered values of samples in the current line to generate filtered values for samples for the current line; and reconstructing, using intra prediction, values of samples of the current block based on the filtered values of the samples of the current initial predictive block and residual data for the current block that represents a difference between the filtered values of the samples of the current initial predictive block and the values of samples of the current block.

Abstract: An automotive sensor integration module including a plurality of sensors differing from each other in at least one of a sensing cycle or an output data format, and a signal processor for selecting a plurality of weights for each of the plurality of sensors on the basis of external environment data, and applying the plurality of weights to a plurality of detection data output from the plurality of sensors respectively to generate a plurality of weighted data.

Abstract: An image capturing support apparatus 1 includes: a detection unit 2 configured to detect facial images that have facial areas corresponding to a face, from a plurality of captured images, respectively; a determination unit 3 configured to determine whether or not the amount of light is insufficient for the detected facial images, using the detected facial images; and a superimposition unit 4 configured to, when the amount of light is insufficient, adjust the size of each of the facial images, and superimpose the facial areas of the adjusted facial images on each other.

Abstract: A near-range camera assembly for a vehicle is provided. The near-range camera assembly includes a LIDAR mount couplable to a vehicle. The LIDAR mount includes a first surface and a second surface that opposes the first surface. The near-range camera assembly includes a LIDAR unit removably coupled to the first surface LIDAR mount. The near-range camera assembly further includes a camera and a camera housing for the camera. The camera housing is removably coupled to the second surface LIDAR mount.

Abstract: A stereo camera apparatus includes a first imaging unit including a first imaging optical system provided with a plurality of lens groups, and a first actuator configured to change a focal length by driving at least one of the plurality of lens groups of the first imaging optical system; a second imaging unit including a second imaging optical system provided with a plurality of lens groups, and a second actuator configured to change a focal length by driving at least one of the plurality of lens groups of the second imaging optical system; a focal length controller configured to output synchronized driving signals to the first and second actuators; and an image processing unit configured to calculate a distance to a subject by using images captured by the first imaging unit and the second imaging unit.