Abstract: An air-core inductor with a temperature measurement system. The temperature measurement system uses a thermographic sensor, an energy harvesting device configured for obtaining electrical energy from the electromagnetic field and a transmitter configured for contactless data transmission arranged on the air-core inductor. The energy harvesting device may include a coil, a rectifier element, and a storage.

Abstract: A prediction method includes: performing downsampling on a luma component of a to-be-processed image block to obtain an initial signal of the luma component; obtaining a residual signal of the luma component based on the obtained initial signal of the luma component; obtaining a residual signal of a chroma component of the to-be-processed image block based on the chroma component of the to-be-processed image block without downsampling. The method further includes: respectively performing a transform on the residual signal of the luma component and the residual signal of the chroma component, to obtain transform coefficients, performing quantization on the obtained transform coefficients, to obtain quantization coefficients, and performing entropy encoding on the obtained quantization coefficients to obtain a bitstream.

Abstract: A system for monitoring activity in a gym environment includes a monitoring system configured to identify human representations in the gym environment and track movement of the human representations; a transceiver unit for receiving communication signals within the gym environment; a waypoint transmitter arranged at a predetermined location in the gym environment and configured to transmit a near field wireless signal; a control system configured to assign a specific human representation to an electronic device, responsive to the monitoring system detecting presence of the specific human representation at said location at a point in time associated with reception in the electronic device of the near field wireless signal.

Abstract: A method and system for mapping fluid objects on a substrate using a microscope inspection system that includes a light source, imaging device, stage for moving a substrate disposed on the stage, and a control module. A computer analysis system includes an object identification module that identifies for each of the objects on the substrate, an object position on the substrate including a set of X, Y, and ? coordinates using algorithms, networks, machines and systems including artificial intelligence and image processing algorithms. At least one of the objects is fluid and has shifted from a prior position or deformed from a prior size.

Abstract: A method for controlling a PTZ camera having a controllable FOV includes detecting a first detection event by a first detector located at a first location that is along a first path in a monitored region. In response to the first detection event, the PTZ camera is automatically controlled such that the FOV of the PTZ camera includes at least part of the first detection region along the first path in the monitored region. A second detection event is detected by a second detector located at a second location that is along the first path in the monitored region, wherein the second location is spaced from the first location. In response to the second detection event, the PTZ camera is automatically controlled such that the FOV of the PTZ camera includes at least part of the second detection region along the first path in the monitored region.

Abstract: A computer implemented method for symmetrical motion vector difference (SMVD) mode, apparatus, and a non-transitory computer-readable storage medium are provided. The decoder obtains a first and second reference picture associated with a current video block, a first reference picture list of the current video block, and a second reference picture list of the current video block. The decoder receives motion parameters and calculates a first motion vector associated with the first reference picture by adding the MVD to corresponding motion vector predictor associated with the first reference picture, and calculates a second motion vector associated with second reference picture by subtracting the MVD from corresponding motion vector predictor associated with the second reference picture. The decoder obtains a prediction signal of the current video block by combining the prediction blocks generated based on the first motion vector and the second motion vector.

Abstract: A computer-implemented method of determining whether an inter prediction process is enabled is disclosed in this application. The method includes obtaining an indication, where the indication indicates whether a slice-level weighted prediction mechanism is to be enabled in the inter prediction process. The method further includes determining, based on the indication, whether a non-rectangular merge mode or whether the slice-level weighted prediction mechanism is to be enabled in the inter prediction process. Furthermore, an encoder for encoding a data stream, like a video stream, using an inter prediction process and a decoder for decoding an encoded data stream, like an encoded video stream, using an inter prediction process, are disclosed.

Abstract: An image decoding method performed by a decoding apparatus includes the operations: deriving a correspondence block corresponding to the current block of the current picture, the correspondence block being located in a co-located picture; deriving a movement vector of the correspondence block; scaling the movement vector of the correspondence block based on a first temporal distance and second temporal distance, the first temporal distance being the difference between the POC values of the co-located picture and POC values of the reference picture of the correspondence block, and the second temporal distance being the difference between the POC values of the co-located picture and POC values of the current picture containing the current block; deriving the movement vector updated based on the scaled movement vector and location of the current block; and deriving a movement vector of the current block based on the updated movement vector.

Abstract: Disclosed herein are a method, apparatus, and storage medium for image encoding/decoding using a reference picture. A reference picture list is configured for encoding/decoding of a target block. Upon configuring the reference picture list, a sequence parameter set and a slice header are used. A picture is divided into sub-pictures and/or slices, and reference picture lists are configured for the sub-pictures and/or slices resulting from division. Reference picture lists for slices may be related to each other, and a current reference picture and a future reference picture in one reference picture list may be used in an additional reference picture list.

Abstract: Methods, device and data stream format are disclosed in the present document for the encoding, the formatting and the decoding of depth information representative of a 3D scene. Compression and decompression of quantized values by a video codec leads to a value error. This error on values is particularly sensitive for depth encoding. The present invention proposes to encode and decode depth with a quantization function that minimize an angle error when a value error on quantized depth creates a location delta between the projected point and the de-projected point. The inverse of such a quantization function has to be encoded in metadata associated with the 3D scene, for example as a LUT, to be retrieved at the decoding, as such functions are not tractable.

Abstract: This invention relates to a self-supervised privacy preservation action recognition system leveraging a learnable transformation anonymization function. The system is designed to process videos by removing spatial cues to protect privacy while retaining critical information for action recognition. The anonymization function, based on an encoder-decoder model, undergoes iterative training on a dataset to optimize the balance between obscuring privacy-sensitive information and preserving capability of recognizing actions. This training involves freezing and adjusting the weights of an action recognition branch and a self-supervised privacy removal branch to refine the model's effectiveness. The outcome is an anonymized video with minimized privacy information leakage, suitable for action analysis without privacy labels.

Abstract: Example implementations include a method, apparatus and computer-readable medium for person detection by a computer device, comprising receiving a plurality of video frames from a camera located in an environment, wherein the video frames include a depiction of a person in the environment. The implementations further include identifying attributes of the person from the video frames and comparing the attributes with attribute entries in a database of suspicious persons, wherein the database of suspicious persons includes attributes of a plurality of persons associated with an alert in the environment. The implementations include retrieving a profile indicative of an alert history of the suspicious person in response to determining a match between the attributes of the person and an entry in the database corresponding to a suspicious person, and transmitting, to a second computer device, the retrieved profile and a notification that indicates that the suspicious person is in the environment.

Abstract: A method of modulating a depth of a hologram, the method includes: obtaining hologram data; determining a scale factor based on a hardware specification of a holographic display to display a three-dimensional (3D) hologram image in a space by using the hologram data; and modulating depth information of the hologram data based on the scale factor.

Abstract: A method and apparatus for parallel context processing for example for high coding efficient entropy coding in HEVC. The method comprising retrieving syntax element relating to a block of an image, grouping at least two bins belonging to similar context based on the syntax element, and coding the grouped bins in parallel.

Abstract: A device may receive and store video frames in the memory. The device may define, in a video frame among the video frames, a plurality of bounding boxes to visually bound one or more subjects, each bounding box of the plurality of bounding boxes may be defined in accordance with a pre-defined aspect ratio, and each bounding box may comprise padding above and laterally with respect to the one or more subjects in the video frame. The device may reduce the plurality of bounding boxes by merging two bounding boxes among the plurality of bounding boxes to create a merged bounding box, wherein the merged bounding box may maintain the pre-defined aspect ratio and visually bounds the two bounding boxes being merged, and wherein the reduced plurality of bounding boxes is provided to an object detector.

Abstract: A computing device performs a method of decoding video data by determining a co-located picture of the current coding unit; locating a spatial neighbor block of the current coding unit that corresponds to the co-located picture; determining a motion shift vector for the current coding unit from one or more motion vectors associated with the spatial neighbor block according to a predefined fixed order; and reconstructing a sub-block-based temporal motion vector for a respective sub-block of a plurality of sub-blocks in the current coding unit from a corresponding sub-block in the collocated picture based on the motion shift vector.

Abstract: A system for detecting the presence of pests, the system comprising: at least one remote camera system, each of the at least one remote camera system comprising an image capture device coupled to a processor and a wireless transmitter, each of the at least one remote camera system having a pest detection surface and being configured to: capture one or more image of the pest detection surface; process the captured one or more image to recognise the potential presence of a target pest on the pest detection surface; and transmit data from the captured one or more image in response to recognising the potential presence of one or more target pests; and a server configured to: receive the transmitted data; process the transmitted data to verify the potential presence of the target pest on the pest detection surface; and provide an output indicating the verification.

Abstract: The monitoring method for wheat kernel moisture content in-field based on PlanetScope satellite imagery in this disclosure comprises: (1) data collection and database establishment; (2) feature engineering: constructing various broad-band indices on the original bands provided by PlanetScope to expand the feature domain, and evaluate the importance of each feature to rank the features based on the comprehensive importance calculated by permutation importance based on regressors; (3) model construction: progressively adding the spectral features one by one as independent variables to the GBDT model according to the ranking results, and screen out the optimal spectral feature domain and inversion model for wheat kernel moisture content; (4) wheat kernel moisture content mapping. The disclosure utilizes machine learning inversion models based on spectral features and PlanetScope satellite imagery to obtain the wheat kernel moisture content at any position of the target farmland.

Abstract: A device for efficient object detection and selective display of video frames is disclosed. A plurality of bounding boxes to visually bound one or more subjects are defined in the received video frames; each bounding box includes padding above and laterally with respect to the one or more subjects in the video frame. The device may reduce the plurality of bounding boxes by merging bounding boxes to create reduced plurality of merged bounding boxes. The device performs object detection on the reduced plurality of merged bounding boxes by searching a training database for detecting and identifying suspicious objects. The identified objects are annotated. On identifying that an object is suspicious, based on a trained database of firearms in a plurality of environments across a plurality of industries, the video frame is transmitted to a graphical user interface of a user device.

Abstract: When encoding/decoding a current block of a current picture using intra block copy (“BC”) prediction, the location of a reference block is constrained so that it can be entirely within an inner search area of the current picture or entirely within an outer search area of the current picture, but cannot overlap both the inner search area and the outer search area. In some hardware-based implementations, on-chip memory buffers sample values of the inner search area, and off-chip memory buffers sample values of the outer search area. By enforcing this constraint on the location of the reference block, an encoder/decoder can avoid memory access operations that are split between on-chip memory and off-chip memory when retrieving the sample values of the reference block. At the same time, a reference block close to the current block may be used for intra BC prediction, helping compression efficiency.