Abstract: Embodiments of the present disclosure provide an encoding and decoding method, apparatus and device.

Abstract: The present disclosure provides decoding methods, encoding methods, apparatuses and devices. A decoding method includes: obtaining index information of an enhanced temporal motion vector prediction mode from a bit stream of a current block when it is determined that an enhanced temporal motion vector prediction technology is enabled for the current block; determining one or more matching blocks of the current block; determining candidate enhanced temporal motion vector prediction modes based on the one or more matching blocks and one or more new matching blocks obtained by offsetting each of the one or more matching blocks, and establishing a temporal candidate mode list; determining the enhanced temporal motion vector prediction mode based on the index information; determining motion information of each sub-block in the current block based on the enhanced temporal motion vector prediction mode, and performing motion compensation on each sub-block in the current block.

Abstract: Methods and apparatuses for performing object recognition are provided. The method includes: by converting a first feature of a target object extracted using a first extraction model to a feature space of a second extraction model through a first feature conversion model, obtaining a second feature of the target object in the feature space; by matching the second feature of the target object with features of objects in a matching library, obtaining a target feature matched with the second feature of the target object; determining an object to which the target feature belongs as a matching object of the target object. Thus, the present disclosure can save time length of object recognition.

Abstract: The present disclosure provides methods and apparatuses for implementing high-speed cryptographic operations based on software-hardware collaboration, and electronic devices. In the embodiments of the present disclosure, by analyzing software and hardware computing resources in real-time, the cryptographic device driver allocates the one or more target resources for cryptographic computation to the reference data packets. When the one or more target resources include the target cryptographic device, the cryptographic device executes, according to the characteristics of the target cryptographic algorithm used to perform cryptographic computation on the reference data packet, the acceleration operation corresponding to the target cryptographic algorithm for the cryptographic computation on the reference data packets, such as grouping the reference data packets, to improve a concurrent execution rate of an algorithm and cope with situations with a large amount of service concurrency and data processing.

Abstract: Provided is a method for processing a video. The method includes: superimposing a transparent image layer on a video playback window; acquiring a first image by capturing images from a video played in the video playback window in response to acquiring a specified region to be enlarged and displayed in the video playback window; acquiring a second image by clipping the first image based on the specified region, wherein the second image comprises the specified region; and enlarging and displaying the second image on the transparent image layer.

Abstract: An operation method and apparatus for a network layer in a Deep Neural Network are provided. The method includes: acquiring a weighted tensor of the network layer in the Deep Neural Network, the weighted tensor comprising a plurality of filters; converting each filter into a linear combination of a plurality of fixed-point convolution kernels by splitting the filter, wherein a weight value of each of the fixed-point convolution kernels is a fixed-point quantized value having a specified bit-width; for each filter, performing a convolution operation on input data of the network layer and each of the fixed-point convolution kernels, respectively, to obtain a plurality of convolution results, and calculating a weighted sum of the obtained convolution results based on the linear combination of the plurality of fixed-point convolution kernels of the filter to obtain an operation result of the filter; determining output data of the network layer.

Abstract: The present disclosure provides methods, apparatuses and devices for coding and decoding.

Abstract: Provided in embodiments of the present application are a method and an apparatus for determining picture switching, an electronic device, and a storage medium. The method comprises: issuing tracking tasks for a target object to designated multiple monitoring devices; receiving detection events reported by the monitoring devices, wherein the detection events are event information reported by the monitoring devices based on presence statuses of the target object in acquired video pictures; and determining to perform cross-device tracking picture switching when a received detection event satisfies a preset condition for an object crossing an acquisition area; wherein, the object crossing the acquisition area means that the target object enters or leaves the acquisition area of one of the multiple monitoring devices. Compared with the prior art, applying the solution provided by the embodiments of the present application can reduce the integration difficulty of a management platform of a monitoring system.

Abstract: Traffic proxy-based Internet of Things terminal key information leakage monitoring methods and systems, electronic devices, storage media, and computer programs. An example method includes: receiving a proxy request sent by an Internet of Things terminal, the proxy request including protocol related information of the Internet of Things terminal, and the protocol related information including part or all of device model information, service type information, and data packet information; according to the protocol related information of the Internet of Things terminal, determining a target protocol corresponding to the Internet of Things terminal; and allocating a target proxy service to the Internet of Things terminal according to the target protocol, and a usage state and an online state of each proxy service in a full traffic proxy pool, and performing key information monitoring on the traffic of the Internet of Things terminal by the target proxy service.

Abstract: Provided is a method for decoding a prediction mode. In response to determining that a merge mode is enabled for a current block and a current candidate prediction mode is allowed for the current block, the method includes: acquiring enablement states of one or more to-be-traversed prediction modes; decoding indication information of the current candidate prediction mode from a code stream in response to determining that a candidate prediction mode being allowed is present in the to-be-traversed prediction modes; and directly determining that the current candidate prediction mode is used for the current block without decoding the indication information of the current candidate prediction mode from the code stream in response to determining that none of the to-be-traversed prediction modes is allowed.

Abstract: A method and an intelligent apparatus for calling permission verification of a protected intelligent application are provided.

Abstract: Embodiments of the present disclosure provide an encoding and decoding method, apparatus and device.

Abstract: Provided is an apparatus for image fusion, including: an image sensor, a light compensator, a light filter assembly, and an image processing unit, the image sensor being on a light output side of the light filter assembly; wherein the image sensor is configured to generate and output a first image signal and a second image signal through a plurality of exposures; the light compensator comprises a first light compensation apparatus configured to perform near-infrared light compensation; the light filter assembly comprises a first light filter; and the image processing unit is configured to acquire a fused image by processing the first image signal and the second image signal.

Abstract: The present application provides a traffic proxy-based Internet of Things terminal key information leakage monitoring method and system, an electronic device, a storage medium, and a computer program. The method comprises: receiving a proxy request sent by an Internet of Things terminal, wherein the proxy request comprises protocol related information of the Internet of Things terminal, and the protocol related information comprises part or all of device model information, service type information, and data packet information; according to the protocol related information of the Internet of Things terminal, determining a target protocol corresponding to the Internet of Things terminal; and allocating a target proxy service to the Internet of Things terminal according to the target protocol, and a usage state and an online state of each proxy service in a full traffic proxy pool, and performing key information monitoring on the traffic of the Internet of Things terminal by means of the target proxy service.

Abstract: The present disclosure provides methods and apparatuses for implementing high-speed cryptographic operations based on software-hardware collaboration, and electronic devices. In the embodiments of the present disclosure, by analyzing software and hardware computing resources in real-time, the cryptographic device driver allocates the one or more target resources for cryptographic computation to the reference data packets. When the one or more target resources include the target cryptographic device, the cryptographic device executes, according to the characteristics of the target cryptographic algorithm used to perform cryptographic computation on the reference data packet, the acceleration operation corresponding to the target cryptographic algorithm for the cryptographic computation on the reference data packets, such as grouping the reference data packets, to improve a concurrent execution rate of an algorithm and cope with situations with a large amount of service concurrency and data processing.

Abstract: A method, apparatus and system for video display and a camera are disclosed. The camera includes one wide-field lens assembly and a wide-field sensor corresponding to the wide-field lens assembly; at least one narrow-field lens assembly and narrow-field sensor corresponding to the narrow-field lens assembly, wherein an angle of view of the wide-field lens assembly is greater than an angle of view of the narrow-field lens assembly, and for a same target, a definition of the wide-field sensor is smaller than that of the narrow-field sensor; and a processor configured for performing human body analysis on the wide-field image and performing face analysis, head and shoulder analysis or human body analysis on at least one frame of narrow-field image. The methods, apparatuses and systems can reduce the workload of installing and adjusting the cameras during monitoring, the performance requirements for the server, and monitoring costs.

Abstract: The present disclosure provides encoding and decoding methods, apparatus and devices thereof. The method includes: if the conditions are all satisfied, determining to use a bidirectional prediction compensation mode for a current block; if determining to use the bidirectional prediction compensation mode for the current block, performing motion compensation for the current block.

Abstract: Encoding and decoding methods and apparatuses, coder-side devices and decoder-side devices are provided, the method includes: obtaining a weighted prediction angle and weight configuration parameters of the current block; where the weight configuration parameters include a weight transform rate and a weight transform start position; configuring reference weight values for surrounding positions outside the current block according to the weight configuration parameters; determining a surrounding matching position to which the pixel position points from the surrounding positions outside the current block based on the weighted prediction angle; determining a target weight value of the pixel position based on the reference weight value associated with the surrounding matching position, determining an association weight value of the pixel position based on the target weight value of the pixel position; determining a first prediction value of the pixel position based on a first prediction mode, determining a second