Abstract: A method, computer program, and computer system for point cloud coding is provided. Data corresponding to a point cloud is received, and one or more geometric features are detected from among the data corresponding to the point cloud. A representation is determined for one or more of the detected geometric features, and the received data is encoded or decoded based on the determined representations whereby the point cloud is reconstructed based on the decoded data.

Abstract: An intra code-rate predicting method in video coding, which enables skipping of an entropy coding procedure during a rate-distribution optimization process and effectively reduces the coding time by modeling residual information of a prediction block and predicting the number of coding bits based on a model resulting from the modeling.

Abstract: A method and system for codec of visual feature data is provided. First protocol format visual feature data generated by an intelligent front end and a certificate identity used to uniquely identify a corresponding first protocol format are received. The first protocol format visual feature data is converted to a same type of second protocol format visual feature data according to the certificate identity. The second protocol format visual feature data is received and parsed according to the second protocol format to obtain original visual feature data that are generated by the intelligent front end and contained in the first protocol format visual feature data.

Abstract: A method of a geometry merge mode for point cloud coding (PCC), is performed by at least one processor, and includes obtaining a candidate node of an octree partition of a point cloud, for a current node of the octree partition, the current node being currently-coded, and the candidate node being previously-coded. The method further includes obtaining an occupancy code of the obtained candidate node, constructing a candidate list including the obtained occupancy code of the candidate node, obtaining an occupancy code of the current node, based on the constructed candidate list, and performing the PCC, based on the obtained occupancy code of the current node.

Abstract: Aspects of the disclosure provide methods, apparatuses, and a non-transitory computer-readable medium for point cloud compression and decompression. In a method, syntax information of a point cloud in a quantized space is decoded from a coded bitstream. The syntax information includes dividing information and adaptive geometry quantization information for a bounding box of the point cloud. The bounding box of the point cloud is divided into a plurality of parts based on the dividing information. Quantization parameters for the parts in the bounding box are determined based on the adaptive geometry quantization information. Points in each of the parts in the bounding box of the point cloud are reconstructed based on the quantization parameter for the respective part in the bounding box.

Abstract: Disclosed is a virtual viewpoint synthesis method based on image local segmentation, which relates to the digital image processing technology.

Abstract: A method of point cloud geometry decoding in a point cloud decoder can include receiving a bitstream including a slice of a coded point cloud frame, and reconstructing an octree representing a geometry of points in a bounding box of the slice where a current node of the octree is partitioned with a quadtree (QT) partition or a binary tree (BT) partition.

Abstract: An apparatus for point cloud compression includes processing circuitry. The processing circuitry represents points in a point cloud using a spherical coordinate system having a first angular dimension, a second angular dimension and a radial dimension. A point is represented by a first angular coordinate in the first angular dimension, a second angular coordinate in the second angular dimension, a radial coordinate in the radial dimension and at least an attribute value. The processing circuitry forms at least a two-dimensional (2D) matrix with a first dimension corresponding to the first angular dimension and a second dimension corresponding to the second angular dimension. The point is placed as an element in the 2D matrix based on the first angular coordinate and the second angular coordinate. Further, the processing circuitry compresses data of the 2D matrix, and generates a bitstream that includes compressed data of the 2D matrix.

Abstract: A Collaborative Deep Network model method for pedestrian detection includes constructing a new collaborative multi-model learning framework to complete a classification process during pedestrian detection; and using an artificial neuron network to integrate judgment results of sub-classifiers in a collaborative model, and training the network by means of the method for machine learning, so that information fed back by sub-classifiers can be more effectively synthesized. A re-sampling method based on a K-means clustering algorithm can enhance the classification effect of each classifier in the collaborative model, and thus improves the overall classification effect.

Abstract: The present disclosure provides a hybrid framework-based image bit-depth expansion method and device. The invention fuses a traditional de-banding algorithm and a depth network-based learning algorithm, and can remove unnatural effects in an image flat area whilst more realistically restoring numerical information of missing bits. The method comprises the extraction of image flat areas, local adaptive pixel value adjustment-based flat area bit-depth expansion and convolutional neural network-based non-flat area bit-depth expansion. The present invention uses a learning-based method to train an effective depth network to solve the problem of realistically restoring missing bits, whilst using a simple and robust local adaptive pixel value adjustment method in an flat area to effectively inhibit unnatural effects in the flat area such as banding, a ringing and flat noise, improving subjective visual quality of the flat area.

Abstract: The disclosure is directed to methods, apparatuses, and devices for synthesizing virtual viewpoint images that are configured for acquiring an original image set, performing stereo matching to original images to obtain a first disparity map set, performing optimization processing to each first disparity map in the first disparity map set to obtain a second disparity map set, determining whether each second disparity map in the second disparity map set has a third disparity map with deep tomography to obtain a first determination result, if the first determination result indicates existence of the third disparity map, segmenting a portion with deep tomography to obtain a corresponding foreground disparity map and a corresponding background disparity map, mapping the second disparity map without deep tomography, the foreground disparity map, the background disparity map, and the portion without deep tomography in the third disparity map according to a first virtual viewpoint to obtain a first virtual viewpoint

Abstract: The present disclosure provides a SIM card management server, a binding device, a management method, a binding method and a binding system. By allocating a cloud SIM card and the network access information to an intelligent terminal of a user, so that the network access information of the original SIM card is replaced to acquire service from a carrier's network, and resource is conserved, the user is facilitated in flexibly replacing a cloud SIM card to access a network, and a system management of cloud SIM card is facilitated.

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: Disclosed is a boundary filtering method for intra prediction, relating to the video encoding technology filed. Whether boundary filtering is performed on an intra prediction block or not is adaptively selected by means of a rate distortion optimization decision; during filtering, a filter coefficient exponentially attenuated relative to distance to boundary is adopted to perform filtering on the first N rows or the first N columns of the intra prediction block by means of an intra prediction block filter, and different filtering strengths are used according to different sizes of the prediction blocks. Therefore, the boundary distortion problem of intra prediction block is solved, the intra prediction precision is improved, and the encoding efficiency of intra prediction block is increased; and the practicability and the robustness of the boundary filtering technology are improved.

Abstract: An intra-frame and inter-frame combined prediction method for P frames or B frames. The method comprises: self-adaptively selecting by means of a rate-distortion optimization (RDO) decision whether to use the intra-frame and inter-frame combined prediction or not; using a method for weighting an intra prediction block and an inter prediction block in the intra-frame and inter-frame combined prediction to obtain a final prediction block; and obtaining the weighting coefficient of the intra prediction block and the inter prediction block according to prediction distortion statistics of the prediction method. Therefore, prediction precision can be improved, and coding and decoding efficiency of the prediction blocks are improved.

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: A system includes an internal combustion engine including a crankshaft, a transmission including a transmission shaft, an axle, and a first electric machine rotatably coupled at least one of the crankshaft, the transmission shaft, and the axle. The first electric machine is configured to deliver rotational torque, and to generate electrical energy. The system includes an electrically-assisted turbomachine including a second electric machine configured to deliver rotational torque, and to generate electrical energy. The system includes a hybrid propulsion traction battery electrically coupled to the first and second electric machines. The hybrid propulsion traction battery is configured to deliver electrical energy to the first electric machine, and to receive electrical energy from the first and second electric machines.

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: 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.