Abstract: Embodiments identify joints of a multi-limb body in an image. One such embodiment unifies depth of a plurality of multi-scale feature maps generated from an image of a multi-limb body to create a plurality of feature maps each having a same depth. In turn, for each of the plurality of feature maps having the same depth, an initial indication of one or more joints in the image is generated. The one or more joints are located at an interconnection of a limb to the multi-limb body or at an interconnection of a limb to another limb. To continue, a final indication of the one or more joints in the image is generated using each generated initial indication of the one or more joints.

Abstract: An information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

Abstract: Ping-based imaging systems may be used for tracking motion of hard or soft objects within an imaged medium. Motion detection and motion tracking may be performed by defining fingerprint points and tracking the position of each fingerprint point based on the echoes of multiple transmitted pings.

Abstract: An example method to characterize an anomaly includes obtaining information about an item using a first mode scan and detecting whether the item contains an anomaly based on the information. The method further includes determining, responsive to detecting the anomaly, an area of interest of the item corresponding to a location of the anomaly, and determining a strategy including a procedure to obtain other information of the area of interest. The method refines a characterization of the anomaly based on the other information, and compares the characterization of the anomaly to a predetermined criterion. The method iteratively revises the strategy to perform additional available procedures, to further refine the characterization of the anomaly. When the characterization of the anomaly meets the predetermined criterion corresponding to a prohibited item, the method identifies the anomaly as prohibited.

Abstract: A method and a device for encoding/decoding an image according to the present invention may determine a reference region for intra prediction of a current block, derive an intra prediction mode of the current block on the basis of a predetermined MPM candidate group, and perform intra prediction on the current block on the basis of the reference region and the intra prediction mode.

Abstract: Methods, systems, and apparatus for processing of three-dimensional visual content are described. One example method of processing three-dimensional content includes parsing a level of detail (LoD) information of a bitstream containing three-dimensional (3D) content that is represented as one geometry sub-bitstream and one or more attribute sub-bitstreams; and generating, based on the LoD information, decoded information by decoding at least a portion of the geometry sub-bitstream and the one or more attribute sub-bitstreams corresponding to a desired level of detail; and reconstructing, using the decoded information, a three-dimensional scene corresponding at least to the desired level of detail. The bitstream conforms to a format organized according to multiple levels of details of the 3D content.

Abstract: Systems, methods and non-transitory computer readable media for propagating changes from one visual content to other visual contents are provided. A plurality of visual contents may be accessed. A first visual content and a modified version of the first visual content may be accessed. The first visual content and the modified version of the first visual content may be analyzed to determine a manipulation for the plurality of visual contents. The determined manipulation may be used to generate a manipulated visual content for each visual content of the plurality of visual contents. The generated manipulated visual contents may be provided.

Abstract: A method and a computational module are provided for carrying out a quantization process of a plurality of channels carrying data received from an image capturing sensor. The computational module comprises: at least one array of processors, configured to a) retrieve data from: a1) a neural network graph, a2) a dataset associated with a data and a3) parameters' values of a neural network model; b) carry out a dynamic range calibration process for the channels received and using the neural network graph for deriving grouping constrains associated with respective channels; c) carry out a grouping optimization based on results obtained for each channel from its respective dynamic range calibration and its grouping constrains; d) arrange the channels so that channels having similar grouping constrains are grouped together into one output channel; and e) calculate required quantization parameters for carrying out a quantization process of the output channels.

Abstract: The present disclosure provides a pedestrian tracking method including: acquiring at least one piece of first video data and at least one piece of second video data; performing facial recognition on at least some first images of the first image frames to obtain tracking data of a first pedestrian including position information thereof at N moments; performing human body detection on at least some second images of the second image frames to obtain tracking data of a second pedestrian including a movement track thereof; determining tracking data of a target pedestrian when deviation between the position information of the first pedestrian at the N moments and the position information of the movement track of the second pedestrian at the same moments is within a preset range. The present disclosure also relates to a pedestrian tracking apparatus, a computing device, a pedestrian tracking system, and a computer-readable storage medium.

Abstract: A spatial recognition device has a spatial recognition unit for generating spatial data by recognizing a three-dimensional shape in a real space, and a self-location estimating unit for estimating the self-location in real space. A spatial data unification unit unifies the spatial data and spatial data generated by another spatial recognition device to generate unified spatial data that is expressed in the same coordinate system having the same origin. A self-location sharing unit transmits the self-location based on the unified spatial data, to another spatial recognition device. The self-location sharing unit acquires the self-location from another spatial recognition device) when the self-location estimating unit cannot estimate the self-location.

Abstract: Alpha channel post processing in image coding can include decoding, from multiple color channels of a bitstream, color channel values for an encoded image, decoding, from an alpha channel of the bitstream, alpha channel values for the encoded image, determining a bilateral filter based on a level of compression for encoding the alpha channel, post processing the alpha channel values by filtering the alpha channel values using the bilateral filter to obtain filtered alpha channel values, and generating at least a portion of a reconstructed image corresponding to the encoded image using the filtered alpha channel values and the color channel values.

Abstract: Systems, apparatus, articles of manufacture and methods for face augmentation in video are disclosed. An example apparatus includes executable code to detect a face of a subject in the video, detect a gender of the subject based on the face, detect a skin tone of the subject based on the face, apply a first process to smooth skin on the face in the video, apply a second process to change the skin tone of the face, apply a third process to slim the face, apply a fourth process to adjust a size of eyes on the face, and apply a fifth process to remove an eye bag from the face. One or more of the first process, the second process, the third process, the fourth process, or the fifth process adjustable based on one or more of the gender or an age. The example apparatus also includes one or more processors to generate modified video with beauty effects, the beauty effects based on one or more of the first process, the second process, the third process, the fourth process, or the fifth process.

Abstract: Disclosed are a partitioning method, an encoder, a decoder and a computer storage medium. The method includes: determining location information of a point of a point cloud to be partitioned; when i is less than or equal to M?1, determining right-shift number Ni of ith LOD layer in the point cloud, M representing a preset maximum quantity of layers for LOD partitioning; for the ith LOD layer, shifting location information of the point rightwards by Ni-digit, performing storing in a preset storage area based on right-shifted location information; determining location information of a parent point corresponding to a current point in the ith LOD layer; according to determined location information of the parent point, searching the preset storage area for a neighbor point of the parent point; partitioning the current point into an (i+1)th LOD layer, or the neighbor point into the ith LOD layer.

Abstract: A system and method for generating data suitable for determining one or more parameters of at least one eye of a subject. The method includes receiving image data of an eye at a first time from a camera of known camera intrinsics and defining an image plane. A first ellipse in the image data is determined. The method includes determining a first eye intersecting line in 3D expected to intersect a 3D center of the eyeball at the first time as a line which is, in the direction of the orientation vector, parallel-shifted to the first center line by an expected distance between the center of the eyeball and a center of the pupil.

Abstract: This invention provides a system and method for finding patterns in images that incorporates neural net classifiers. A pattern finding tool is coupled with a classifier that can be run before or after the tool to have labeled pattern results with sub-pixel accuracy. In the case of a pattern finding tool that can detect multiple templates, its performance is improved when a neural net classifier informs the pattern finding tool to work only on a subset of the originally trained templates. Similarly, in the case of a pattern finding tool that initially detects a pattern, a neural network classifier can then determine whether it has found the correct pattern. The neural network can also reconstruct/clean-up an imaged shape, and/or to eliminate pixels less relevant to the shape of interest, therefore reducing the search time, as well significantly increasing the chance of lock on the correct shapes.

Abstract: When it is assumed that a large-scale Deep Neural Network for autonomous driving applied compression, there are problems of a decrease in recognition accuracy of a post-compression Neural Network (NN) model and an increase in a compression design period, due to a large number of harmful or unnecessary training images (invalid training images). A training image selection unit B100 calculates an influence value on an inference, and generates an indexed training image set 1004-1 necessary for an NN compression design, by using the influence value. A neural network compression unit P200 notified of the result via a memory P300 compresses the NN.

Abstract: According to one embodiment, a work estimation apparatus includes processing circuitry. The processing circuitry acquires video data on a predetermined area, calculates a work value related to work performed by a worker included in the video data, based on the video data, and displays the work value.

Abstract: In one example, a method is provided that includes receiving lidar data obtained by a lidar device. The lidar data includes a plurality of data points indicative of locations of reflections from an environment of the vehicle. The method includes receiving images of portions of the environment captured by a camera at different times. The method also includes determining locations in the images that correspond to a data point of the plurality of data points. Additionally, the method includes determining feature descriptors for the locations of the images and comparing the feature descriptors to determine that sensor data associated with at least one of the lidar device, the camera, or a pose sensor is accurate or inaccurate.

Abstract: An image acquisition and analysis system are disclosed. The system enables high throughput, objective analysis of microbial samples over days or weeks. The system may accommodate upwards of twelve 96- or 384-well plates simultaneously (liquid or solid media). The system may acquire and analyze a large number of samples in a short period of time. For example, over 384 samples per minute or 18,432 samples per hour. The system hardware may include a multi-spectral imager (fluorescence and bright field detection), electro-mechanical assemblies, and an optional high-resolution stage. The system may automate image acquisition, image data processing, simplify data storage, and enable automated analysis tools to significantly reduce the manual labor and time associated with such tasks. The system may allow for quick processing and analysis of data into clear phenotypic classes.

Abstract: Selections of content shared from a remote device during a video conference are copied to a destination of a computing device connected to the video conference live or at which a recording of the video conference is viewed. The content shared from the remote device during the video conference is output at a display of the computing device. A portion of the content is selected according to an instruction received from a user of the computing device while output at the display of the computing device to copy to a destination associated with software running at the computing device. The portion of the content is identified using a machine vision process performed against the content while output at the display of the computing device. The portion of the content is then copied to the destination.