Abstract: Disclosed is a panoramic image mapping method and a corresponding reversely mapping method. Particularly, the mapping process includes mapping a panoramic image or a spherical surface corresponding to Video A: first, dividing the spherical surface into three areas based on the latitudes of the spherical surface, denoted as Area I, Area II, and Area III, respectively; mapping the three areas to a square plane I?, a rectangular plane II?, and a square plane III?, respectively; then, splicing the planes I?, II? and III? into a plane, wherein the resulting plane is the two-dimensional image or video B. Compared with the equirectangular mapping method, the method according to the present disclosure may effectively ameliorate oversampling in high-latitude areas and effectively lower the bit rate needed by coding and the complexity of decoding. The present disclosure relates to the field of virtual reality, which may be applied to panoramic images and videos.

Abstract: Disclosed is a panoramic image mapping method, wherein mapping regions and a non-mapping region are partitioned for an equirectangular panoramic image with a resolution of 2M×M, where only the partitioned mapping regions are mapped as square regions; the method comprises:, computing a vertical distance and a horizontal distance from a point on the square region to a center of the square region, a larger one of which being denoted as m; computing a distance n from the point to a zeroth (0th) point on a concentric square region; computing a longitude and a latitude corresponding to the point; computing a corresponding position (X, Y) in the equirectangular panoramic image to which the point is mapped; and then assigning a value to the point. The method may effectively reduce oversampling, thereby effectively reducing the number of pixels of the panoramic image and the code rate required for coding with little distortion.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for blockchain-based file querying are provided. One of the methods includes: receiving a query request for a target file, the query request comprising identification information of a user and the target file; obtaining the target file based on the identification information of the user and the target file; providing a query page of the target file, the query page comprising interactive elements for selecting whether to upload the target file to a blockchain; receiving a user selecting to upload the target file to the blockchain; hashing the target file to generate a digital digest; signing the digital digest according to an asymmetric encryption algorithm using a private key associated with a cryptographic key pair to obtain a digital signature; and uploading the target file, the digital signature, and a public key associated with the cryptographic key pair.

Abstract: A developing apparatus includes a developing mechanism and a heating mechanism, and the heating mechanism includes a plurality of heating units. The plurality of heating units are provided above or below the developing mechanism, and each heating unit of the plurality of heating units is disposed independently.

Abstract: Techniques for determining and/or predicting a trajectory of an object by using the appearance of the object, as captured in an image, are discussed herein. Image data, sensor data, and/or a predicted trajectory of the object (e.g., a pedestrian, animal, and the like) may be used to train a machine learning model that can subsequently be provided to, and used by, an autonomous vehicle for operation and navigation. In some implementations, predicted trajectories may be compared to actual trajectories and such comparisons are used as training data for machine learning.

Abstract: An image deblurring method based on light streak information in an image is provided, wherein shape information of a blur kernel is obtained based on a light streak in a motion blur image and image restoration is constrained by combining the shape information, a natural image and the blur kernel to thereby obtain an accurate blur kernel and a high-quality restored image. The method specifically comprises: selecting an optimum image patch including an optimum light streak; extracting shape information of a blur kernel from the optimum image patch including the optimum light streak; performing blur kernel estimation to obtain the final blur kernel; performing non-blind deconvolution and restoring a sharp restored image as a final deblurred image. The present disclosure establishes a blurry image test set of captured images including light streaks and a method to obtain an accurate blur kernel and a high quality restore image.

Abstract: Disclosed is an intraframe prediction method, wherein for an intraframe predicted block in an interframe predicted frame, when an interframe predicted blocks exists on the lower right of the intraframe predicted block, a coding and decoding sequence of intraframe and interframe blocks is adjusted, and intraframe prediction is performed in a lower right intraframe prediction approach, i.e.

Abstract: Embodiments of the present disclosure provide a motor rotor and a motor. The motor rotor includes: multiple groups of laminations having inner bores and arranged alternately in an axial direction of the motor rotor. The motor includes a stator and the abovementioned motor rotor provided in the stator. The motor rotor and the motor according to embodiments of the present disclosure, for example, may reduce installation costs of the laminations and a rotor shaft in the motor rotor.

Abstract: A cross-media search method using a VGG convolutional neural network (VGG net) to extract image features. The 4096-dimensional feature of a seventh fully-connected layer (fc7) in the VGG net, after processing by a ReLU activation function, serves as image features. A Fisher Vector based on Word2vec is utilized to extract text features. Semantic matching is performed on heterogeneous images and the text features by means of logistic regression. A correlation between the two heterogeneous features, which are images and text, is found by means of semantic matching based on logistic regression, and thus cross-media search is achieved. The feature extraction method can effectively indicate deep semantics of image and text, improve cross-media search accuracy, and thus greatly improve the cross-media search effect.

Abstract: Certain aspects involve providing automated performance monitoring of statistical models. For example, a processing device is used for performing a statistical analysis on information in an archive to extract historical data, scores, and attributes. The processing device calculates performance metrics based at least in part on the historical data, scores, and attributes. The processing device pre-calculates summary performance data based at least in part on the performance metrics. The summary performance data is stored in files with predefined layouts, which are stored in a non-transitory, computer-readable medium. Segmented data is presented from a file to a user through a graphical user interface (GUI). In some aspects, various reports of the segmented data are presented interactively by detecting a selection by the user of a segmentation and displaying the corresponding segmented data.

Abstract: A method for image matching includes acquiring a template image and a target image; acquiring a group of template features according to the template image; extracting a group of target features according to the target image; and according to template features and target features, calculating an degree of image similarity between the template image and each frame of target images, and using a target image with the maximum degree of image similarity as a matched image to the template image. In the image-matching method, image matching is performed by calculating an degree of image similarity between a template image and each target image according to a degree of image similarity between template features and target features, so that non-redundancy of features in an image matching process and correct image matching can be guaranteed, and the image matching accuracy can be improved.

Abstract: Disclosed are a describing method and a coding method of panoramic video ROIs based on multiple layers of spherical circumferences. The describing method comprises: first setting a center of the panoramic video ROIs; then setting the number of layers of ROIs as N; obtaining the size Rn of the current layer ROI based on a radius or angle; obtaining the sizes of all of the N layers of ROIs, and writing information such as the center of the ROIs, the number of layers, and the size of each layer into a sequence header of a code stream. The coding method comprises adjusting or filtering an initial QP based on a QP adjusted value and then coding an image. By flexibly assigning code rates to multiple layers of panoramic video ROIs, while guaranteeing a relatively high image quality of ROIs, the code rate needed for coding and transmission is greatly reduced.

Abstract: Disclosed is a panoramic image mapping method, wherein mapping regions and a non-mapping region are partitioned for an equirectangular panoramic image with a resolution of 2M×M, where only the partitioned mapping regions are mapped as square regions; the method comprises:, computing a vertical distance and a horizontal distance from a point on the square region to a center of the square region, a larger one of which being denoted as m; computing a distance n from the point to a zeroth (0th) point on a concentric square region; computing a longitude and a latitude corresponding to the point; computing a corresponding position (X, Y) in the equirectangular panoramic image to which the point is mapped; and then assigning a value to the point. The method may effectively reduce oversampling, thereby effectively reducing the number of pixels of the panoramic image and the code rate required for coding with little distortion.

Abstract: Disclosed is a method for detecting pedestrians in an image by using Gaussian penalty. Initial pedestrian boundary box is screened using a Gaussian penalty, to improve the pedestrian detection performance, especially sheltered pedestrians in an image. The method includes acquiring a training data set, a test data set and pedestrian labels of a pedestrian detection image; using the training data set for training to obtain a detection model by using a pedestrian detection method, and acquiring initial pedestrian boundary box and confidence degrees and coordinates thereof; performing Gaussian penalty on the confidence degrees of the pedestrian boundary box, to obtain confidence degree of the pedestrian boundary box after the penalty; and obtaining final pedestrian boundary boxes by screening the pedestrian boundary boxes. Thus, repeated boundary boxes of a single pedestrian are removed while reserving boundary boxes of sheltered pedestrians, thereby realizing the detection of the pedestrians in an image.

Abstract: Embodiments describe a motor. The motor includes a stator, and a rotor, which is arranged within the stator. An end part of at least one air-gap slot of the rotor has an offset with a predetermined distance and/or a predetermined angle relative to a main body part adjacent immediately to the end part. With the offset of a predetermined distance and/or a predetermined angle configured at the end part of at least one air-gap slot of the rotor, ripple torque of the motor is effectively lower down while complexity of the motor, stator or rotor will not be increased.

Abstract: The present disclosure provides an encoding method, a decoding method, an encoder, and a decoder, the encoding method comprises: performing interframe prediction to each interframe coded block to obtain corresponding interframe predicted blocks; writing information of each of the interframe predicted blocks into a code stream; if the interframe coded block exists at an adjacent position to the right or beneath or to the lower right of the intraframe coded block, performing intraframe prediction to the intraframe coded block based on at least one reconstructed coded blocks at adjacent positions to the left and/or above and/or to the upper left of the intraframe coded block and at least one of the interframe coded blocks at adjacent positions to the right and/or beneath and/or to the lower right of the intraframe coded block to obtain intraframe predicted blocks; writing information of each of the intraframe predicted blocks into the code stream.

Abstract: Disclosed are a panoramic video forward mapping method and a panoramic video inverse mapping method, which relates to the field of virtual reality (VR) videos. In the present disclosure, the forward mapping method comprises: mapping, based on a main viewpoint, the Areas I, II, and III on the sphere onto corresponding areas on the plane, wherein Area I corresponds to the area with the included angle 0°˜Z1, the Area II corresponds to the area with the included angle Z1˜Z2, and the Area III corresponds to the area with the included angle Z2˜180°. The panoramic video forward mapping method refers to mapping a spherical source corresponding to the panoramic image A onto a plane square image B; the panoramic video inverse mapping method refers to mapping the plane square image B back to the sphere for being rendered and viewed.

Abstract: Embodiments of the present disclosure provide a method for accelerating CDVS extraction process based on a GPGPU platform, wherein for the stages of feature detection and local descriptor computation of the CDVS extraction process, operation logics and parallelism strategies of respective inter-pixel parallelism sub-procedures and respective inter-feature point parallelism sub-procedures are implemented by leveraging an OpenCL general-purpose parallelism programming framework, and acceleration is achieved by leveraging a GPU's parallelism computation capability; including: partitioning computing tasks for a GPU and a CPU; reconstructing an image scale pyramid storage model; assigning parallelism strategies to respective sub-procedures for the GPU; and applying local memory to mitigate the access bottleneck. The technical solution of the present disclosure may accelerate the CDVS extraction process and significantly enhances the extraction performance.

Abstract: Method and device for deblurring an out-of-focus blurred image: first, a preset blur kernel is used to carry out blurring processing on an original image to obtain a re-blurred image. Blur amounts of pixels in an edge area of the original image are estimated according to the change of the image edge information in the blurring processing to obtain a sparse blur amount diagram. Blur amounts of pixels in a non-edge area of the original image are estimated according to the sparse blur amount diagram to obtain a complete blur amount diagram. Deblurring processing is carried out according to the complete blur amount diagram to obtain a deblurred image. In the method and device provided, since a blur amount diagram is obtained based on the change of edge information after image blurring, the blur amount diagram can be more accurate, so that the quality of a deblurred image is improved.

Abstract: A platinum/black phosphorus@carbon sphere methanol fuel cell anode catalyst and preparation method thereof including the following steps: (1) dispersing a black phosphorus solid in an organic solvent to obtain a single or a few layers of black phosphorus dispersion with set concentration; (2) mixing the dispersion with glucose and stirring until dissolved; (3) performing a hydrothermal reaction on the solution to obtain an aqueous solution of the composite material containing a carbon core black phosphorus shell structure; (4) uniformly mixing the aqueous solution with an ethylene glycol solution of sodium chloroplatinate, adjusting the pH, then reducing the platinum on the surface by using a microwave irradiation heating method; and (5) filtering, washing and drying the obtained composite material to obtain a platinum/black phosphorus @carbon sphere composite material.