Abstract: A photogrammetry analysis unit of an analysis device associates the survey result obtained by a surveying device with a photographing position of each image taken by a camera, recognizes the surveying device from the image containing the surveying device, corrects the photographing position based on the known point coordinates of the surveying device, and generates the data for photogrammetry.

Abstract: Methods, apparatuses, and computer-readable medium are provided for a frame rate up-conversion coding mode, in which an affine motion model is applied when conducting bilateral matching. The frame rate up-conversion coding mode can include generated additional frames from frames provided in a bitstream. In various implementations, bilateral matching includes, for a current block in a frame that is being generated, identifying a first block in a first reference picture a second block in a second reference picture. Affine (e.g., non-linear) motion information can be determined as between the first block and the second block. The current block can be predicted using the affine motion information.

Abstract: Welding headwear comprises one or more image sensors, processing circuitry, and a display. The image sensor(s) are operable to capture an image of an unpowered weld torch as the torch passes along a joint of a workpiece to be welded. The processing circuitry is operable to: determine, through processing of pixel data of the image, one or more welding parameters as the torch passes along the joint to be welded; generate, based on the one or more welding parameters, a simulated weld bead; and superimpose on the image, in real time as the torch passes along the joint, the simulated weld bead on the joint. The display is operable to present, in real time as the torch passes along the joint, the image with the simulated bead overlaid on it.

Abstract: A content presentation method, a content presentation mode push method, and an intelligent terminal are used to intelligently present content to a user in different presentation modes according to different identified scenarios. The method includes acquiring, by an intelligent terminal, context data of a user, identifying a user use scenario according to the context data, determining a first presentation mode corresponding to the user use scenario, and presenting content to the user in the first presentation mode. In this way, the intelligent terminal can intelligently present the content to the user in different presentation modes according to different scenarios, thereby meeting a requirement of the user for a content presentation mode in different environments.

Abstract: A video image encoding device, in a first mode, variable-length-encodes a residual coefficient to generate a coefficient code string, outputs the coefficient code string and the header information in a state in which the header information is associated with the coefficient code string, in a second mode, directly uses a differential image as a coefficient code string without variable-length-encoding the differential image, and outputs the coefficient code string and the header information in a state in which the header information is associated with the coefficient code string.

Abstract: The present invention is intended to permit both real-time display of a picture represented by a non-compressed video signal on a television and display of a picture represented by a compressed video signal at any desired time by simultaneously transmitting the compressed video signal and non-compressed video signal via one interface. An STB packetizes a compressed video signal, and multiplexes the compressed video signal and a blanking signal combined with a non-compressed video signal. Thus, both the video signals are transmitted simultaneously. A picture represented by the non-compressed video signal is displayed on a television in real time. The compressed video signal is stored in a storage medium incorporated in the television, read at any user's desired time, and decoded so that a picture represented by the compressed video signal can be viewed at the user's desired time.

Abstract: A video coding system determines a Sample Adaptive Offset (SAO) type for a current reconstructed block, and determines SAO offsets for the current reconstructed block and checks if all SAO offsets are zeros except for a last SAO offset if the SAO type is Edge Offset (EO) or Band Offset (BO). A new value for the last SAO offset is derived at an encoding end or an original value for the last SAO offset is derived at a decoding end if all SAO offsets except for the last SAO offset are zeros. The SAO offsets are used for applying SAO processing to the current block and the current block is encoded or decoded. The original value for the last SAO offset is used in SAO processing and the new value for the last SAO offset is signaled in a video bitstream.

Abstract: LK-SURF, Robust Kalman Filter, HAR-SLAM, and Landmark Promotion SLAM methods are disclosed. LK-SURF is an image processing technique that combines Lucas-Kanade feature tracking with Speeded-Up Robust Features to perform spatial and temporal tracking using stereo images to produce 3D features can be tracked and identified. The Robust Kalman Filter is an extension of the Kalman Filter algorithm that improves the ability to remove erroneous observations using Principal Component Analysis and the X84 outlier rejection rule. Hierarchical Active Ripple SLAM is a new SLAM architecture that breaks the traditional state space of SLAM into a chain of smaller state spaces, allowing multiple tracked objects, multiple sensors, and multiple updates to occur in linear time with linear storage with respect to the number of tracked objects, landmarks, and estimated object locations. In Landmark Promotion SLAM, only reliable mapped landmarks are promoted through various layers of SLAM to generate larger maps.

Abstract: Systems for monitoring a confined space include image sensors, such as cameras, and access control devices, such as intercoms and scanning devices, positioned within the interior and external to the confined space. Sensors for detecting hazardous materials, light sources, and audio output devices, such as speakers, may also be positioned within the confined space. Equipment within the confined space may be explosion proof or intrinsically safe and rated for use in hazardous areas. A first single electrical cable, such as a multi-core cable, may engage all of the system components external to the confined space to power components. A second single electrical cable may engage all of the components within the confined space to the power components. A monitoring station may receive video, audio, sensor, and access data from the system equipment and generate alarms and notifications responsive to unauthorized access attempts, hazardous materials, or irregular user incidents.

Abstract: A method for generating a prediction block in intra prediction, includes restoring a mode group indicator and a prediction mode index; constructing a most probable mode (MPM) group including three intra prediction modes of a current block; determining an intra prediction mode specified by the intra prediction mode index in the MPM group as the intra prediction mode of the current block if the mode group indicator indicates the MPM group, and deriving the intra prediction mode of the current block using the prediction mode index and the three intra prediction modes of the MPM group if the mode group indicator does not indicate the MPM group; determining a size of the prediction block based on transform size information; determining whether all reference pixels of the current block are available; generating reference pixels if one or more reference pixels of the current block are unavailable; adaptively filtering the reference pixels based on the intra prediction mode and the size of the current block; and gene

Abstract: An image encoding device configured to perform prediction for a received image for each block on the basis of encoded pixels to generate prediction errors, a transform and quantization unit configured to perform orthogonal transform and quantization on the prediction errors to generate quantization coefficients, a coefficient encoding unit configured to encode the quantization coefficients, an arithmetic precision information generating unit configured to generate arithmetic precision selection information representing selection of arithmetic precision of at least one of the prediction, the orthogonal transform, and the quantization, and an arithmetic precision encoding unit configured to encode the arithmetic precision selection information.

Abstract: Methods and apparatus to encode and/or decode normals of geometric representations of surfaces are disclosed herein. An example method includes receiving a plurality of points, each point representing a normal to the surface and being arranged within a tile; generating a plurality of regions within the tile, each region including points of the plurality of points; retrieving a first and second point, the first point representing a first normal and the second point representing a second normal, the first point being outside of a specified baseline region; performing a point transformation operation on the first point to produce a transformed first point of the baseline region and performing the point transformation on the second point to produce a transformed second point; generating a difference between the transformed first point and the transformed second point to produce a difference value; and encoding the difference value.

Abstract: A method performed by a video encoder for encoding a current picture belonging to a temporal level identified by a temporal_id. The method includes determining a Reference Picture Set (RPS) for the current picture indicating reference pictures that are kept in a decoded picture buffer (DPB) when decoding the current picture, and when the current picture is a temporal switching point. The method further comprises operating to ensure that the RPS of the current picture includes no picture having a temporal_id greater than or equal to the temporal_id of the current picture.

Abstract: Offset values, such as Sample Adaptive Offset (SAO) values in video coding standards such as the High Efficiency Video Coding standard (HEVC), may be improved by performing calculations and operations that improve the preciseness of these values without materially affecting the signal overhead needed to transmit the more precise values. Such calculations and operations may include applying a quantization factor to a video sample and at least some of its neighbors, comparing the quantized values, and classifying the video sample as a minimum, maximum, or one of various types of edges based on the comparison. Other sample range, offset mode, and/or offset precision parameters may be calculated and transmitted with metadata to improve the precision of offset values.

Abstract: The present invention relates to a method for encoding and decoding a quantized matrix and an apparatus using same, the method for encoding a quantized matrix according to the present invention comprising the steps of: determining a quantization matrix to be used for quantization and quantizing; determining the prediction method used for the quantization of the quantization matrix; and encoding quantization matrix information on the basis of the determined prediction method, wherein the prediction method can be either a prediction method between coefficients in the quantization matrix or a duplicate of the quantization matrix.

Abstract: A multi-dimensional solution directed to a system and associated apparatus for 3-dimensional imaging system (3DIS) incorporating unique facets to adjust relative orientation and nominal focus between the primary components of the 3DIS that relies on rectification algorithms to construct 3-dimensional point clouds. The device includes a camera, camera lens assembly, projector, an auxiliary fine adjustment device for the projector, focus mount plate, mirror mount, and mirror.

Abstract: Certain embodiments of the methods and systems disclosed herein determine a location of a tracked object with respect to a coordinate system of a sensor array by using analog signals from sensors having overlapping nonlinear responses. Hyperacuity and real time tracking are achieved by either digital or analog processing of the sensor signals. Multiple sensor arrays can be configured in a plane, on a hemisphere or other complex surface to act as a single sensor or to provide a wide field of view and zooming capabilities of the sensor array. Other embodiments use the processing methods to adjust to contrast reversals between an image and the background.

Abstract: A system and method for distributed analysis of image data in a video surveillance system can be deployed in households, businesses, and within corporate entities, in examples. The image data are processed on local video analytics systems located within the networks of the businesses or on remote video analytics systems hosted by a cloud service. To limit the data traffic imposed by the image data on the network, the system divides the image data processing into separate object detection and analysis functions. The system can also integrate the object detection function within the surveillance cameras or on a local gateway. This can significantly reduce the data traffic sent over networks as compared to current video surveillance systems and methods since only image data containing object of interest needs to be sent.

Abstract: The present invention generally relates to a parallel video processing apparatus and method for a multicore computing system. According to a specific example of the present invention, since video unit sizes matched to the performance of each core are derived, video units obtained by segmenting an input image screen according to a video codec type are allocated to corresponding cores according to the derived video unit sizes, and then the cores process the allocated video units in parallel, a processing speed differences of each core for the segmented video units may be reduced, and thus the processing speed may be improved, and the power consumption may be reduced.

Abstract: An example device for decoding video data includes a memory configured to store video data, and a video decoder implemented in circuitry and configured to determine that motion information of a current block of the video data is to be derived using decoder-side motion vector derivation (DMVD), determine a pixels clue for the current block, the pixels clue comprising pixel data obtained from one or more groups of previously decoded pixels, derive the motion information for the current block according to DMVD from the pixels clue, and decode the current block using the motion information. The video decoder may generate the pixels clue using multiple hypothesis predictions from multiple motion compensated blocks. The video decoder may determine an inter-prediction direction for the motion information according to matching costs between different prediction directions. The video decoder may refine the motion information using a calculated matching cost for the pixels clue.