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: Methods and devices are disclosed for panoramic video coding and decoding based on multi-mode boundary fill. If a predicted image block of a current image block is obtained by inter-frame prediction. The inter-frame prediction includes a boundary fill step of adaptively selecting a boundary fill method according to coordinates of a reference sample when the reference sample of a pixel in the current image block is outside the boundary of a corresponding reference image, to obtain a sample value of the reference sample. The panoramic video encoding and decoding method and device based on multi-mode boundary fill in the present invention make full use of the characteristic that horizontal image contents in a panoramic video are cyclically connected to optimize an image boundary fill method, such that the encoding can adaptively select a more reasonable boundary fill method according to the coordinates of a reference sample, thereby improving compression efficiency.

Abstract: A method and a device for extracting local features of a 3D point cloud are disclosed. Angle information and the concavo-convex information about a feature point to be extracted and a point of an adjacent body element are calculated based on a local reference system corresponding to the points of each body element. The feature relation between the two points can be calculated accurately. The property of invariance in translation and rotation is possessed. Since concavo-convex information about a local point cloud is contained during extraction, the inaccurate extraction caused by ignoring concavo-convex ambiguity in previous 3D local feature description is resolved.

Abstract: The present application provides a method and a device for super-resolution image reconstruction based on dictionary matching. The method includes: establishing a matching dictionary library; inputting an image to be reconstructed into a multi-layer linear filter network; extracting a local characteristic of the image to be reconstructed; searching the matching dictionary library for a local characteristic of a low-resolution image block having the highest similarity with the local characteristic of the image to be reconstructed; searching the matching dictionary library for a residual of a combined sample where the local characteristic of the low-resolution image block with the highest similarity is located; performing interpolation amplification on the local characteristic of the low-resolution image block having the highest similarity; and adding the residual to a result of the interpolation amplification to obtain a reconstructed high-resolution image block.

Abstract: Disclosed are a method and apparatus for acquiring target data from and sending target data to a network. An NDN network and a TCP/IP network are simultaneously contained as a network layer protocol, and the NDN network is used to perform interaction of control information and searching of target data, while the TCP/IP network is used to perform specific transmission of the target data. Not only are intelligent and efficient content distribution advantages of the NDN network made use of, but also, by means of the efficient transmission capability of the TCP/IP network in an existing network device and communication environment, the content distribution capability in a hybrid network simultaneously having the TCP/IP network and the NDN network is improved.

Abstract: A method for image de-blurring includes estimating an intermediate image L by marking and constraining an edge region and a smooth region in an input image; estimating a blur kernel k by extracting salient edges from the intermediate image L, wherein the salient edges have scales greater than those of the blur kernel k; and restoring the input image to a clear image by performing non-blind deconvolution on the input image and the estimated blur kernel k. Imposing constraints on the edge region and the smooth region allows the intermediate image to maintain the edge while effectively removing noise and ringing artifacts in the smooth region. The use of the salient edges in the intermediate image L enables more accurate blur kernel estimation. Performing non-blind deconvolution on the input image and the estimated blur kernel k restores the input image to a clear image achieving desired de-blurring effect.

Abstract: The invention relates to a blockchain-based domain name resolution system, characterized in that the domain name resolution system adopts a layered structure comprising a top-level domain name chain network, a second-level domain name chain network, a future network node and an existing DNS system network; the top-level domain name chain network links the second-level domain name chain network, the future network node and the existing DNS system network respectively, and the top-level domain name chain network is used for each professional organization to deploy the server nodes having a reliable performance respectively to form a union blockchain network, wherein each node server records the information of all the current top-level domain names, the second-level domain name chain nodes, the future network nodes and the root nodes of the existing DNS system; the second-level domain name chain network is used for the registration and management of domain names, and recording of all the second-level domain name

Abstract: A P frame-based multi-hypothesis motion compensation method includes: taking an encoded image block adjacent to a current image block as a reference image block and obtaining a first motion vector of the current image block by using a motion vector of the reference image block, the first motion vector pointing to a first prediction block; taking the first motion vector as a reference value and performing joint motion estimation on the current image block to obtain a second motion vector of the current image block, the second motion vector pointing to a second prediction block; and performing weighted averaging on the first prediction block and the second prediction block to obtain a final prediction block of the current image block. The method increases the accuracy of the obtained prediction block of the current image block without increasing the code rate.

Abstract: Disclosed is a video background removal method, which relates to the technical field of video analysis, and in particular to a background removal method based on an image block, a Gaussian mixture model and a random process. Firstly, the concept of blocks is defined, and a foreground and a background are determined by means of comparing a difference between blocks; a threshold value is automatically adjusted by using a Gaussian mixture model, and at the same time, the background is updated by using the idea of random process; and finally, an experiment is made on a BMC dataset, and a result shows that this method surpasses most of the current advanced algorithms, and the accuracy is very high. This method has wide applicability, can be applied to monitor video background subtraction, and is applied very importantly in the field of video analysis.

Abstract: Provided is a dynamic two-way guide and drainage control method for leachate and landfill gas. The dynamic two-way guide and drainage control method is used in a waste landfill. By implementing the present invention, the water-guiding permeability inside the waste body is improved, and the problems that the water level of the leachate is raised, the landfill gas is escaped, the collection efficiency is extremely low and the like during a waste landfilling process at present are solved.

Abstract: An NDN and IP fusion network content control method and apparatus. The method comprises: obtaining a request packet issued by a client in a TCP/IP network; performing application layer protocol deep packet analysis on the request packet; upon determining that the request packet is a request packet which satisfies a first type target site, determining a replacement content name according to a pre-established name mapping table; according to the replacement content name and request content of the request packet in the TCP/IP network, generating an interest packet in an NDN protocol format, and forwarding to an NDN network; obtaining a data packet in the NDN protocol format returned after the interest packet in the NDN protocol format was forwarded to the NDN network; converting the data packet in the NDN protocol format into a data packet in an IP protocol format, and returning to the client in the TCP/IP network.

Abstract: Disclosed is a video background removal method, which relates to the technical field of video analysis, and in particular to a background removal method based on an image block, a Gaussian mixture model and a random process. Firstly, the concept of blocks is defined, and a foreground and a background are determined by means of comparing a difference between blocks; a threshold value is automatically adjusted by using a Gaussian mixture model, and at the same time, the background is updated by using the idea of random process; and finally, an experiment is made on a BMC dataset, and a result shows that this method surpasses most of the current advanced algorithms, and the accuracy is very high. This method has wide applicability, can be applied to monitor video background subtraction, and is applied very importantly in the field of video analysis.

Abstract: A chroma interpolation method, including: 1) determining a pixel accuracy for interpolation; 2) determining coordinate positions of interpolated fractional-pel pixels between integer-pel pixels; and 3) performing two-dimensional separated interpolation on the interpolated fractional-pel pixels by an interpolation filter according to the coordinate positions. The invention also provides a filter device using the above method for chroma interpolation.

Abstract: A method and apparatus for selecting an integrated circuit device neural network modeling sample; for an input variable having the largest mean impact value, by means of continually and equally dividing an interval of the input variable, until relative errors of all divided intervals are equal to or less than a preset error precision, only at which point the equal division action stops, and the length of the divided interval having the smallest length being taken as a step length of the output variable; the step lengths of other input variables then being respectively calculated, according to the step length of the input variable; and finally, for each input variable, points being extracted according to a change interval and the step length thereof, thereby obtaining a sample point set of each input variable.

Abstract: A controllable voltage source, comprising a control module (1), a storage module (2) and an output module (3); the control module (1) is coupled between a high level end and a low level end; the storage module (2) comprises a storage capacitor; two ends of the storage capacitor are respectively coupled to the control module (1) to form a first terminal and a second terminal; the output module (3) is coupled to the second terminal, and the signal output end thereof is used to output to an external circuit the voltage signal of the controllable voltage source; the control module (1) responds the effective level of a first clock signal so as to enable the first terminal to be coupled to the high level end, and the first terminal is charged from the high level end; the control module (1) responds the effective level of a second clock signal so as to enable the second terminal to be coupled to the high level end, and the second terminal is charged from the high level end; and the first terminal is coupled to the l

Abstract: The present disclosure relates generally to internet technology and more specifically to managing Top-level domain (TLD) name based on blockchain. An example method of managing Top-level domain name comprises the following steps: A. Using TLD nodes to form alliance network in the blockchain; B. Layering the system architecture in the alliance network to separate operations and data; and C. Reaching consensus among all nodes in the alliance network through consensus mechanism. A more effective and efficient consensus mechanism will increase the safety and reliability of the system and improve the efficiency of the system. Layering the system structure will ensure the efficiency and portability of the system.

Abstract: A method comprising: A. forming a consortium blockchain network using domain network nodes and selecting committee members from top-level domain nodes; B. the committee member who received most votes packs the genesis block and generates a random number; C. the housekeeper having the same number as the random number packs the current block and generates a random number for selecting a next housekeeper to pack the next block, each block is approved by more than half of the committee members; D. during the duty cycle, each housekeeper takes turns packing blocks and generating random numbers and the process is repeated. If a block is not approved, the housekeeper with the next number is requested to repack the block; and E. the last random number generated by a housekeeper before the duty cycle ends is used to select the housekeeper to pack the first block of the next duty cycle.

Abstract: A method comprising: In some implementations, a method for indexing a multi-layer blockchain system, comprising: A. using, a top layer blockchain, to index a lower layer blockchain by recording a seed node in a transaction log of a block; B. requesting a distributed monitoring cluster to periodically check availabilities of IP addresses and ports that listed in the seed node stored in the top layer blockchain; C. maintaining, for each node in the lower layer blockchain, a separate instance of a global routing table. Each global routing table store entire topological structure of the multi-layer blockchain system, and final consistency of the global routing tables is maintained through a GOSSIP-based data communication protocol. Any node located on the lower layer blockchain described in Step C is configured to access data and services through any one of accessible nodes identified by IP addresses and ports recorded in the global routing table.

Abstract: An arithmetic encoding-decoding method for compression of a video image block. The method includes an encoding process and a decoding process. The encoding process includes: 1) acquiring an information of an image block to be encoded; 2) extracting an encoding command of a weighted skip model; 3) acquiring an index of a reference frame according to the information of the image block to be encoded and the command of the weighted skip model, in which the reference frame includes a prediction block for reconstructing the image block to be encoded; 4) acquiring a context-based adaptive probability model for encoding; and 5) performing arithmetic encoding of the index of the reference frame and writing arithmetic codes into an arithmetically encoded bitstream according to the context-based adaptive probability model for encoding.

Abstract: A method and device for forwarding an interest packet based on a probability tree in an information network. By introducing a probability tree, the process of forwarding an interest packet is finally changed into a selection process: starting from a root node of the probability tree, selecting child nodes of a current node according to the probability of each child node of the current node, and stopping selecting until the selected child node is a leaf node. Moreover, the introduced probability tree provides a good carrier for machine learning. By considering the selection process as an optimization problem, the selection process can be converged to be approximate to an optimal state using online machine learning, and moreover, the probability of each node in the probability tree can be adjusted according to changes in network conditions, so that the forwarding method and device have strong adaptability to the network changes, thereby improving self-adaptability.