Abstract: The present invention relates to a method and an apparatus for interlayer prediction, and the method for interlayer prediction, according to the present invention, comprises the steps of: deciding whether to apply an interlayer prediction to an enhancement layer; and performing a prediction on a current block of the enhancement layer based on reference information that is generalized and generated from a reference picture, which is decoded, of a reference layer, when the interlayer prediction is applied, wherein the reference layer information can be encoding information of a reference block, which corresponds to a current block of the enhancement layer, from the reference layer, and residual information.

Abstract: A method of decoding an encoded video bitstream using at least one processor, including obtaining a coded video sequence from the encoded video bitstream; obtaining a picture unit from the coded video sequence; obtaining a PH NAL unit included in the picture unit; obtaining at least one coded slice NAL unit included in the picture unit; decoding a coded picture based on the PH NAL unit, the at least one coded slice NAL unit a PPS NAL unit obtained from the coded video sequence, and am SPS NAL unit obtained from the coded video sequence; and outputting the decoded picture, wherein the SPS NAL unit is available to the at least one processor before the PPS NAL unit, and wherein the PPS NAL unit is available to the at least one processor before the PH NAL unit and the at least one coded slice NAL unit.

Abstract: Embodiments of the present disclosure are directed to providing scene perception display requiring reduced processing capabilities. Sensor data indicative of one or more targets from an imaging and ranging subsystem, location data from a positioning subsystem defining a geographical location of the imaging and ranging subsystem and orientation data from an orientation subsystem defining an orientation of the imaging and ranging subsystem are received. Doppler point cloud data is generated based on Doppler information and point cloud data from the sensor data, the location data and the orientation data. The targets are classified as either a static or dynamic target. Afterwards, the Doppler point cloud data is filtered by removing either the dynamic or the static targets from the Doppler point cloud data. The Doppler point cloud data of either the dynamic or the static targets are further processed and the further processed Doppler point cloud data is rendered.

Abstract: An image decoding method performed by means of a decoding device according to the present disclosure comprises the steps of: deriving transform coefficients of a target block from a bitstream; deriving a non-separable secondary transform (NSST) index with respect to the target block; performing inverse transform with respect to the transform coefficients of the target block on the basis of the NSST index and thus deriving residual samples of the target block; and generating a reconstructed picture on the basis of the residual samples.

Abstract: An information processing apparatus (2000) detects an object (30) from each of a plurality of captured images (20) generated by an image capture apparatus (10). The information processing apparatus (2000) further determines, for each detected object (30), an appropriate image being a captured image (20) suitable for feature extraction of the object (30) from among a plurality of captured images (20) in which the object (30) is detected.

Abstract: A method and system for using a vehicle camera to capture visual information for a home security system is described. In one embodiment, the method includes detecting a trigger event to activate at least one home security camera of a home security system of a dwelling. The method also includes analyzing activity of a target person near the dwelling using the at least one home security camera. Based on the analyzed activity, the method includes activating at least one camera of a vehicle located at or near the dwelling. The method further includes capturing visual information associated with the target person using the at least one camera of the vehicle.

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 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: 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: 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.