Abstract: A method for decoding video includes creating a first list of motion vectors from at least one neighboring block in a current frame of the video and creating a second list of motion vectors from at least one previous block in a temporally earlier frame of the video. A third list of motion vectors is created based upon the first list and the second list. Based upon receiving a motion vector competition control parameter selecting one of the motion vectors from the third list, wherein the second list of motion vectors is further based upon a flooring function.

Abstract: In some embodiments, a method maintains a first list that stores motion vectors from one or more blocks that have been previously processed in a frame. When a current block is in the first set of positions in the frame, the method resets and uses a motion vector from a second list to transcode the current block due to the resetting of the first list. When the current block is not in the first set of positions, the method uses a motion vector from the first list to transcode the current block.

Abstract: A head-mounted device includes a plurality of front camera modules, a display device, an in-display camera module and an image-processing unit. The front camera modules include a first camera module and a second camera module that are respectively disposed at the left and right sides of the head-mounted device. The in-display camera module is disposed within the boundary of the display device. The image-processing unit is in communication connection with the front camera modules and the display device. The display device and the in-display camera module face a user side of the head-mounted device.

Abstract: A system and method benefiting from cameras and digital hardware already installed on an aircraft in order to manage the images in the best possible manner according to the different flight phases. The visual display system in an aircraft includes a vision device to acquire a current image stream around the aircraft, and a processor to retrieve the current image stream from the vision device and to launch a current viewing application around the aircraft which is compatible with the current mobility phase of the aircraft.

Abstract: A system includes a programmable assessor and a remote computer. The programmable assessor includes an assessment chamber, which includes an assessment platform and a sensor arranged to sense characteristics of a product on the assessment platform, as well as a processor coupled to the sensor and an input coupled to the processor. The remote computer includes a remote processor. The sensor is configured to sense characteristics of first and second versions of the product. The input is configured to receive a classification of the first and second versions of the product. The programmable assessor is configured to provide the sensed characteristics and classification of the first and second versions of the product to the remote processor. The remote processor is configured to generate an assessment program based on the sensed characteristics and classification of the first and second versions of the product, and to provide the generated assessment program to the programmable assessor.

Abstract: A method and device for encoding an image divided into blocks. The image contains two separate zones. The method implements the following: only in the event where the current block pertains to one of the zones of the image: encoding the current block using a prediction, the current block being predicted using a previously encoded and then decoded block located in the other zone of the image, the blocks of the other zone having been previously encoded and then decoded, and encoding information indicating the application of the prediction; and for any decoded block pertaining to the other zone of the image, storing the decoded block data.

Abstract: A system and method for dynamically ordering video streams on display in a command and control system according to video content, including obtaining a plurality of video streams captured by a plurality of respective video cameras; extracting features from the plurality of video streams; calculating abnormality scores for the extracted features, wherein each abnormality score measures a likelihood that a corresponding feature is an abnormal feature; calculating a current rank for ordering each of the plurality of video streams based on current and past abnormality scores of the features extracted from the video stream; and displaying a subgroup of the plurality of video streams having the highest subset of current ranks based on abnormality scores.

Abstract: An inter prediction method according to the present invention comprises: a step for deriving reference motion information related to a unit to be decoded in a current picture; and a step for performing motion compensation for the unit to be decoded, using the reference motion information that has been derived. According to the present invention, image encoding/decoding efficiency can be enhanced.

Abstract: Illustrative embodiments are directed to a device and method for improving a video chat experience. The device provides a video chat session between users. The device receives a first video stream of multiple users captured by a camera at the same time. The device identifies objects representing the users in the first video stream, respectively. The device generates a modified stream by altering image data to remove a portion of depicted visual content between the objects. The device receives a second video stream. The device outputs, to user devices, the modified first video stream and the second video stream for display to the users.

Abstract: Provided are systems and methods for auto calibrating a vehicle using a calibration target that is generated from the vehicle's sensor data. In one example, the method may include receiving sensor data associated with a road captured by one or more sensors of a vehicle, identifying lane line data points within the sensor data, generating a representation which includes positions of a plurality of lane lines of the road based on the identified lane line data points, and adjusting a calibration parameter of a sensor from among the one or more sensors of the vehicle based on the representation of the plurality of lane lines.

Abstract: A method and device for encoding an image divided into blocks. The image contains two separate zones. The method implements the following: only in the event where the current block pertains to one of the zones of the image: encoding the current block using a prediction, the current block being predicted using a previously encoded and then decoded block located in the other zone of the image, the blocks of the other zone having been previously encoded and then decoded, and encoding information indicating the application of the prediction; and for any decoded block pertaining to the other zone of the image, storing the decoded block data.

Abstract: A disclosed computer-implemented method may include directing a display device included in a head-mounted display worn by a user to illuminate, via a projection of a line at an illumination time, a portion of a cornea of the user. The method may further include detecting, via an image sensor at a detection time, a portion of the projection of the line reflected by the portion of the cornea of the user and identifying a distortion of the projection of the line reflected by the portion of the cornea of the user. The method may also include determining a shape of the cornea of the user based on the illumination time, the detection time, and the distortion of the projection of the line reflected by the portion of the cornea. Various other methods, systems, apparatuses, and computer-readable media are also disclosed.

Abstract: Provided is a sensing system useful with a follower vehicle configured to track and follow a leader. The sensing system can include a plurality of sensing technologies configured to cooperatively track and follow the leader. In some embodiments, the plurality of sensing technologies can include one or more of a stereoscopic camera ranging system, a wide field of view monocular camera, and a radar imaging system, or other sensor technologies. In various embodiments, the vehicle can comprise a chassis, a drive mechanism supported by the chassis and arranged to drive a plurality of wheels, a body supported by the chassis and, optionally, an internal volume defined within the body. In some embodiments, the follower vehicle can be a two-wheeled mobile carrier, for example.

Abstract: An image capturing device includes: an imaging device to capture a first image; and circuitry to receive a second image from another image capturing device, the second image being captured with the another image capturing device and having an angle of view wider than that of the first image, and control a display to sequentially display the first image, and an image of an area of the second image that is similar to the first image, the image similar to the first image having the degree of similarity to the first image that is equal to or greater than a threshold.

Abstract: To prevent the capture and transmission of excluded data, the current pose and motion of a video camera are used to predict a pose and predicted FOV for the video camera over one or more future frames. The predicted pose and predicted FOV are used to generate cues to enforce an alignment condition to an allowed object or to prevent capture of a disallowed object. If the cues fail, an interrupt is generated to prevent capture of disallowed objects in the video signal and perhaps to deactivate the video camera. The predicted FOV prevents excluded data from entering the video signal and reaching circuitry or being processed downstream of the video camera. This can be implemented in real or near real time.

Abstract: Disclosed is a camera system included in a vehicle. The camera system comprises: a camera provided to a vehicle so as to capture the surroundings of the vehicle; and a processor for identifying an object present near the vehicle on the basis of an image captured by the camera, wherein the camera comprises a wide-angle lens, and a plurality of optical sensors for capturing a region within the viewing angle of the wide-angle lens, the wide-angle lens being designed so that the number of optical sensors for capturing a region corresponding to a predetermined angle range, among a plurality of angle ranges formed by dividing the viewing angle into predetermined angles, differs from the number of optical sensors for capturing a region corresponding to a different angle range.

Abstract: A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

Abstract: Generating edge-depth values for an object, utilizing the edge-depth values in generating a 3D point cloud for the object, and utilizing the generated 3D point cloud for generating a 3D bounding shape (e.g., 3D bounding box) for the object. Edge-depth values for an object are depth values that are determined from frame(s) of vision data (e.g., left/right images) that captures the object, and that are determined to correspond to an edge of the object (an edge from the perspective of frame(s) of vision data). Techniques that utilize edge-depth values for an object (exclusively, or in combination with other depth values for the object) in generating 3D bounding shapes can enable accurate 3D bounding shapes to be generated for partially or fully transparent objects. Such increased accuracy 3D bounding shapes directly improve performance of a robot that utilizes the 3D bounding shapes in performing various tasks.

Abstract: A system for securing contents in a container that can include a housing, at least one electromechanically operated security door securing access to the housing and a control panel for receiving input to release the electromechanically secured door from the housing. Communications components, alarms and cameras can also be associated with the housing to facilitate its security and operation and can also adapt it for access and/or package receipt (delivery) by a third party, and overall preservation and security of contents stored therein. Heating and cooling system components can maintain contents of valuable contents held within the housing at a select temperatures.

Abstract: A time of flight (TOF) assembly includes a laser light source, one or more photo detectors and a detection circuit. The one or more photo detectors are configured to receive light and convert the received light into an electric signal. The detection circuit is configured to send a turning-off control signal to turn off the laser light source in response to the electric signal indicating that a time length, in which the laser light source is in an effective working state within a first duration, is greater than a preset time length threshold value or the electric signal indicating that energy of light emitted from the laser light source within a second duration is greater than a preset energy threshold. The disclosure also provides a terminal device and a control method for a TOF assembly.