40 results about "Image Identifier" patented technology

The invention discloses a video coding and decoding method, device and equipment and a storage medium, and relates to the technical field of video coding and decoding, and the method comprises the steps: setting a target sequence identifier in a sequence head of a to-be-coded video frame sequence corresponding to a target video, determining a to-be-zoomed video frame, determining a target resolution of the to-be-zoomed video frame, and carrying out the zooming of the to-be-zoomed video frame; scaling each to-be-scaled video frame based on the target resolution, and adding image header data in an image header of the scaled video frame to obtain a target video frame; coding each target video frame and the original video frame in sequence to obtain a code stream; and sending the code stream to a decoding end, so that the decoding end decodes the code stream. By means of adding the image header data containing the image identifier and the target resolution in the image header, the capability of flexibly embedding frames with different resolutions in the same video sequence is realized, and the limitation of fixed resolution coding is broken.

The invention discloses a multi-mode private illegal content retrieval method and system based on semantic granularity perception, and belongs to the technical field of image-text multi-mode content retrieval. In order to solve the technical problem that private and illegal contents are difficult to effectively retrieve through explicit text description, the method comprises the following steps of: constructing an image identifier consisting of clustering, matrix decomposition, quantization and unique coding, and realizing generative learning of an image and the image identifier by utilizing a multi-modal large model; and constructing a soft label based on the similarity between the image and the text representation, and outputting a corresponding image identifier through text-driven generative retrieval learning. According to the method, the illegal image content with semantic matching can be retrieved from the private text description, and the method is suitable for scenes such as illegal content examination, risk identification and content filtering.

This invention discloses a method and system for power equipment identification and information verification that integrates image semantic segmentation, relating to the fields of computer vision and data processing technology. The method includes: acquiring power equipment images and performing pre-standardization review; performing hierarchical identification on the power equipment images that have passed the pre-standardization review; matching measurement names from a measurement point-equipment-image relationship table based on image identifiers, calculating the similarity between the measurement point names and the measurement point names in the ledger records, and establishing an association between the power equipment images and the ledger records when the similarity is greater than or equal to a preset similarity threshold; comparing the hierarchical identification results with corresponding fields in the ledger records to obtain differences, and performing logical hierarchical consistency checks on the differences at the field level, cross-field level, and business level to obtain the credibility level and perform differentiated updates. This achieves high-precision automatic alignment between ledger data and on-site equipment status, reducing the cost of manual inspection and ledger verification.

This invention belongs to the field of engineering supervision and inspection technology, and discloses an AI-based intelligent supervision and inspection system. The system includes an inspection item configuration unit, an image acquisition unit, a reference positioning unit, an identification unit, a judgment unit, a supplementary image generation unit, a re-inspection positioning unit, and a re-inspection verification unit. The system calls the corresponding judgment rules based on the inspection item identifier, acquires inspection images of the supervision area, identifies benchmark reference objects, target objects, and necessary observation points, establishes relative position parameters, and outputs qualified judgment results, unqualified judgment results, or supplementary image identifiers accordingly. When an item is unqualified, re-inspection positioning information is generated, and the re-inspection area is determined in the re-inspection image to complete the re-inspection verification. This system is applicable to the judgment and re-inspection of inspection images under different equipment and angles.

The invention provides a safe scanning method and device for a container mirror image, electronic equipment and a storage medium, and the method comprises the steps: downloading a read-only access configuration file of each container cluster from a container cluster management platform; the read-only access configuration file is used for limiting the access authority to the container cluster to be the read-only access authority; deploying a plurality of containers and a container mirror image used by each container in the container cluster; for each container cluster, based on the read-only access configuration file of the container cluster, obtaining container information of each container which is currently in operation from the container cluster; the container information comprises a mirror image identifier of a container mirror image used by the container; and based on each mirror image identifier contained in the received container information, taking the container mirror image corresponding to each mirror image identifier as a to-be-scanned container mirror image, and performing security scanning on each to-be-scanned container mirror image to judge whether security vulnerabilities exist in the to-be-scanned container mirror image. Through the method, the safety scanning efficiency of the container mirror image is improved.

The present disclosure relates to a virtual item processing method and device, electronic equipment and storage medium. The method comprises: displaying virtual item touch information on a live page; in response to a triggering operation on the virtual item touch information, displaying a virtual item selection page; the virtual item selection page includes a plurality of preset virtual item image identifiers corresponding to each virtual item; in response to a selection operation on a target image identifier, at least one item component corresponding to a target preset virtual item is displayed; in response to a selection operation on a target candidate component in the at least one item component, a target recombined virtual item is displayed; the target recombined virtual item is generated by updating the components of the target preset virtual item based on the target candidate component. The present disclosure can refine the component granularity of virtual items and enrich the presentation style of virtual items.

Embodiments of the present invention provide an interaction information publishing method and apparatus, an electronic device, a storage medium, and a program product. The method comprises: in response to an interaction operation on media content, displaying an interaction information input area of the media content; acquiring at least one piece of image content on the basis of an image content acquisition operation of the interaction information input area, and displaying an image identifier of the at least one piece of image content in the interaction information input area; in response to a first trigger operation based on the image identifier, displaying an image content editing interface; and in response to an edit confirmation operation performed in the image content editing interface, publishing first interaction information for the media content on the basis of preset image content confirmed by the edit confirmation operation.

The invention provides a meteorological data storage method and apparatus, and an electronic device. The method comprises the steps of obtaining meteorological image data; adopting a preset algorithm to extract traditional business features and deep learning features of the meteorological image data, and fusing the traditional business features and the deep learning features to obtain a fused feature vector; storing the fusion feature vector to a vector data field of a pre-constructed database, storing a storage path corresponding to meteorological image data to an image file storage path field of the database, and storing an image identifier to an image unique identifier field of the database; and storing the corresponding meteorological image data in a preset file system. Compared with the prior art, the meteorological image data is not simply stored in a file system, feature extraction is performed by adopting a pre-auditing algorithm, and feature vectors are fused to serve as fixed fields in a database, so that convenience is provided for subsequent query, and the utilization rate of resources is improved.

To provide a service cooperation system and a service cooperation method for efficiently performing transactions.SOLUTION: A service cooperation system A1 includes a second server 30 which is connected to a first server 20 providing a first settlement service and provides a second settlement service, and user terminals 10 using the first settlement service. Then, a second server 30 executes image generation processing for generating an image identifier to be included in a code image to be used for settlement, and association processing for associating and storing the anonymous identifier generated by the first server 20 and the image identifier. Further, when acquiring the image identifier of the code image read by the reading terminal, the second server 30 executes settlement stage processing for making the first server 20 execute the settlement of the transaction of the anonymous identifier associated with the image identifier.SELECTED DRAWING: Figure 1

Embodiments of the present application provide a character recognition method and system, an electronic device and a storage medium, and belong to the technical field of artificial intelligence. The method comprises: a client generating an image scanning area in response to a touch operation of a preset first recognition control; the client performing image type recognition on a to-be-recognized image according to a preset type recognition model to obtain a recognition result; if the recognition result indicates that the image type of the to-be-recognized image is a preset type, the client performs quality detection on the to-be-recognized image to obtain a detection result; if the detection result indicates that the quality of the to-be-recognized image is qualified, the client sends the to-be-recognized image to a server; the server generates an image identifier of the to-be-recognized image according to the to-be-recognized image, and sends the image identifier to the client; the server performs character recognition processing on the to-be-recognized image to obtain recognition data; and the client acquires the to-be-recognized image and the recognition data from the server according to the image identifier. The embodiments of the present application can improve the efficiency of character recognition.

The application discloses a dynamic updating face recognition method and device and electronic equipment, the method comprises the following steps: acquiring system configuration parameters, the system configuration parameters include face recognition algorithm type identifier; according to the face recognition algorithm type identifier, the corresponding face recognition algorithm is called, the feature of the face picture to be detected is extracted, and the face feature vector is obtained; the data linked list corresponding to the face recognition algorithm type identifier is called from the database, the data linked list stores different face image identifiers and the face feature values obtained by the face recognition algorithm corresponding to the face recognition algorithm type identifier and different face image feature extraction; the face feature values in the data linked list are traversed and compared with the face feature vector respectively, the similarity is calculated, the face image with the maximum similarity and the corresponding personnel information are output; the application is convenient for updating and upgrading the face recognition algorithm, and can adapt to the rapid development and replacement of the face recognition technology.

The invention discloses an image output management method for a medical image, which relates to the technical field of medical information management, and comprises the following steps: recording an output context parameter based on an image output request, generating an output event record including an operator identifier, a department identifier, a patient identifier, an examination number, a DICOM image identifier, an output type, an output target address, a workstation identifier and an output timestamp, and writing a global unique number generated based on the timestamp into the output event record; comparing a local cache index according to the global unique number to screen unregistered records, generating deduplicated output event records, and sequentially writing the deduplicated output event records into a cache log file; generating a serial number word string according to the global unique serial number recorded by the output event in the cache log file, and executing SHA-256 operation based on the serial number word string to generate batch Hash abstract data; according to the invention, synchronous guarantee of medical image output behaviors in three aspects of context binding, content consistency and visual auditing traceability is realized.

This application discloses a method, system, device, and storage medium for remote debugging of container images. The technical solution provided in this application involves obtaining the image identifier of the target container image in response to a debugging request sent by the debugging end via a bidirectional communication channel; obtaining the node status of each node based on the node access interface of the container orchestration platform to determine the target node; creating and starting a debugging container with the corresponding image identifier on the target node through a secure communication channel with the target node and the container runtime interface of the container orchestration platform; receiving debugging instructions from the debugging end, forwarding the debugging instructions to the debugging container for execution, and forwarding the execution result returned by the debugging container based on the debugging instructions back to the debugging end. By employing the above technical means, the debugging efficiency and success rate of container images can be improved, meeting the operational and maintenance needs for efficient and reliable diagnosis of container images in containerized application environments.

The invention provides a privacy protection image retrieval system, which relates to the technical field of image retrieval, is a trusted third party and is used for generating an encryption key, a hidden key, a verification parameter, an index key pair, a retrieval key pair and a re-encryption key pair. The image owner embeds the proof into the ciphertext image based on the hidden key to obtain a target image corresponding to the ciphertext image; determining a target image set based on all the target images; and the cloud server obtains a plurality of search image identifiers corresponding to the query image and target images corresponding to the search image identifiers, and sends all the search image identifiers and the corresponding target images to the query user. According to the technical scheme, through cooperation of the trusted third party, the image owner, the query user and the cloud server, the vector commitment technology and the reversible data hiding technology are combined, and on the premise that the semantic attribute and feature correlation of the image is not damaged as far as possible, the target is rapidly positioned in massive indexes.

This invention discloses an image loading method, apparatus, electronic terminal, and storage medium. The method includes: responding to a loading event of a target image, determining an image identifier at at least one resolution based on its Uniform Resource Locator (URL); determining a target identifier corresponding to the loading event from the image identifiers, and sequentially determining a current query identifier in descending order of the corresponding resolution, starting from the target identifier; repeatedly querying the target image from a preset storage space based on the current query identifier until the query is successful, or the current query identifier corresponds to the lowest resolution and the query fails; if the query is successful, loading the queried target image; if the current query identifier corresponds to the lowest resolution and the query fails, downloading and loading a target image at a preset resolution (where the preset resolution is lower than the lowest resolution). This method can eliminate the time-sensitivity of cached images, avoid repeated waiting for image loading in different scenarios, and reduce user waiting time.

The application discloses an image processing method and device, a chip, a controller and a vehicle, and belongs to the technical field of images. The method comprises the following steps: receiving a plurality of first storage messages; when the image identifier carried in the first storage message indicates other images, reading the other images in sequence according to the storage position carried in the first storage message according to a preset reading strategy, and performing image processing on the other images until a second storage message is received; the image identifier carried in the second storage message indicates a front view image with the highest priority; reading the front view image according to the storage position of the front view image carried in the second storage message, and performing image processing on the front view image; after the processing of the front view image is completed, the other images that have not been processed are continuously read, and the processing of the other images that have not been processed is completed before a plurality of first storage messages in a next period are received. The processing priority of the front view image is ensured, the processing delay is reduced, and the image processing efficiency is improved.

The application provides a privacy protection image retrieval system and relates to the technical field of image retrieval. A trusted third party is used to generate an encryption key, a hidden key, a verification parameter, an index key pair, a retrieval key pair and a re-encryption key pair; an image owner embeds a proof into a ciphertext image based on the hidden key to obtain a target image corresponding to the ciphertext image; a target image set is determined based on all target images; a cloud server obtains a plurality of search image identifiers corresponding to a query image and target images corresponding to the search image identifiers, and sends all search image identifiers and the corresponding target images to a query user. The technical scheme of the application combines vector commitment technology and reversible data hiding technology through the cooperation of the trusted third party, the image owner, the query user and the cloud server to quickly locate a target in a mass index without damaging the semantic attributes and feature correlation of the image as much as possible.

The application belongs to the technical field of artificial intelligence, and particularly relates to a construction method of an LLM automatic execution environment based on mirror packaging. The method comprises the following steps: S1: explicitly declaring the following core configuration information: a container image identifier corresponding to the LLM automatic execution environment, an automatic execution permission policy, and an LLM automatic execution function module identifier list; S2: receiving an LLM automatic execution environment creation request, creating an isolated directory tree, and the isolated directory tree at least comprising a configuration subdirectory, a work area subdirectory and a file subdirectory, and being used for realizing isolated storage of data in the LLM automatic execution environment; S3: calling a container management interface, mounting the isolated directory tree to corresponding paths in the container, and starting the container in a background running mode, and completing construction of the LLM automatic execution environment. The method has the characteristics of simple and quick deployment and high safety.

This invention relates to the field of computer vision and data processing technology, specifically disclosing a multimodal image risk prevention and traceability method, system, device, and medium. The invention employs a dual-model collaborative architecture, deploying a first deep learning model for image classification and filtering, and a second deep learning model for high-dimensional feature extraction. It combines vector database similarity retrieval with relational database full-lifecycle ledger storage, establishing a two-way binding relationship between unique image identifiers and business order numbers. It also implements dynamic threshold risk assessment and incremental model optimization based on business scenarios. This solves the problems of subjective bias in traditional manual review, insufficient representation capabilities of single visual features, fixed thresholds leading to misjudgments and omissions across scenarios, missing traceability chains throughout the entire process, and the inability of recognition models to continuously evolve. This achieves a comprehensive improvement in risk identification accuracy, massive image retrieval speed, flexibility in adapting to multiple insurance types, accuracy of end-to-end traceability, and long-term risk control stability.

The application relates to the field of processing analysis and digital technology application of geographic space-time big data, and discloses a UAV image index construction method based on vector-raster integration, which comprises the following steps: constructing a vector-raster basic database, wherein the original storage information of the vector-raster basic database comprises to-be-matched UAV images and flight target planning vector data; constructing an image pyramid model to generate a reclassified image; performing raster-vector conversion on the image elements of the reclassified image to form UAV vector surface data; acquiring the vector correlation of the UAV vector surface data and the flight target planning vector data; storing the vector correlation through target correlation attributes; and constructing a UAV image index through the UAV image identifier, the flight target planning vector data corresponding to the target correlation attributes, and the image pyramid model corresponding to the UAV image. According to the technical scheme, the fast indexing of a large number of UAV images and the fast loading of large-size UAV image data can be realized.

The application provides an image recognition method, a merging method of an image data set, and related equipment. The image recognition method comprises: obtaining an image to be recognized; determining a classification of the image to be recognized; determining a target data set corresponding to the classification of the image to be recognized, the target data set being a target subset corresponding to the classification of the image to be recognized in a plurality of subsets of the image data set; and obtaining an image recognition result according to the image to be recognized and the target data set. The merging method of the image data set comprises: obtaining at least two data sets to be merged; each data set comprising a plurality of images, the images comprising image identifiers; classifying each data set according to the attributes of the images; determining at least two target data subsets corresponding to a target classification in the plurality of classifications; calculating a target feature corresponding to each image identifier; merging the images in the at least two target data subsets according to the target feature corresponding to each image identifier; and determining an image data set according to the merged target data subsets.

The invention discloses a fine arrangement model training and fine arrangement method, device and equipment supporting multiple modal retrieval modes. Through collaborative extraction of pure image or pure text data by an input layer and according to the position of the pure image data, a special image identifier is dynamically embedded, and a unified processing framework of single-mode, cross-mode and multi-mode retrieval is constructed. A coding unit and an image standardization unit in an image processing layer are introduced, an image position is marked through a special image identifier, and image coding features are projected to a text semantic space in combination with the image standardization unit, so that different modal data are aligned in a unified semantic dimension; the model not only can capture a complex relationship among different modals to provide a more accurate search result in multi-modal retrieval, but also can realize single-modal, cross-modal and multi-modal retrieval under the same end-to-end framework, and solves the problems that an existing fine arrangement model is single in support mode and low in accuracy.

This application discloses a method, apparatus, device, and computer storage medium for electronic signature verification, relating to the field of blockchain technology. The method involves a user device sending an electronic signature retrieval request to a server. Upon receiving the request, the server retrieves verification images of text corresponding to the user's identifier from different storage areas of the blockchain device and sends them to the user device. Multiple verification images of different texts are stored in different storage areas. After receiving the verification images, the user device selects a signature image from the verification images and sends the selection result to the server. The server receives the selection result and, if the selection result includes a signature image of the text corresponding to the user's identifier, verifies the signature image, combines them to generate an electronic signature, and sends the electronic signature to the user device. This embodiment stores different signature images in different areas, and after verification, the user generates a target signature image based on the signature image identifier, thus improving the security of electronic signature verification.

The invention discloses an image display method and device and electronic equipment, and belongs to the technical field of computers. The method comprises the following steps: receiving a first input of a first image identifier in a content detail interface; and displaying a first image corresponding to the first image identifier in response to the first input.

Embodiments of the present application disclose an image quality evaluation method, device, system, electronic equipment and storage medium, and relate to the technical field of image processing. The method comprises: receiving an image quality evaluation request sent by a client and containing an image identifier corresponding to a to-be-evaluated image and an image identifier corresponding to a reference image; obtaining the to-be-evaluated image according to the image identifier of the to-be-evaluated image, and obtaining the reference image according to the image identifier corresponding to the reference image; evaluating the quality of the to-be-evaluated image relative to the reference image by calling an image quality evaluation tool to obtain an image quality evaluation result; and sending the image quality evaluation result to the client to enable the client to generate and display a result display page based on the image quality evaluation result. The technical scheme provided by the embodiments of the present application can solve the problems of low accuracy and low evaluation efficiency caused by manual evaluation in the prior art, and can improve the accuracy and evaluation efficiency of image quality evaluation.

Shared container image layer removal is provided. It is determined whether layer metadata corresponding to a selected layer of a container image includes a referenced image identifier corresponding to a reference shared layer of an other container image stored in local storage based on an analysis of the layer metadata. In response to determining that the layer metadata corresponding to the selected layer does include the referenced image identifier corresponding to the reference shared layer of the other container image stored in the local storage based on the analysis of the layer metadata, it is determined that the selected layer of the container image is a duplicate shared layer having same content as the reference shared layer. The container image containing the selected layer that is the duplicate shared layer is removed from the local storage to decrease space utilization of the local storage and thereby increase performance.

The present invention concerns a method of encapsulating images in a file, wherein the method comprises determining a grouping type based on a capture mode of the images; generating a grouping data structure describing the images as a group, the grouping data structure comprising image identifiers of the images of the group; and embedding the grouping data structure, the grouping type and the images in the file.

The present application relates to the technical field of communications, and provides a communication method, a communication apparatus, and a communication system. In the method, a first cache control function acquires an image identifier of a first task, the first task being a task to be scheduled, and the image identifier being used for identifying an image of the first task; and the first cache control function sends first information on the basis of the image identifier of the first task, the first information being used for triggering a first storage node to pre-cache the image of the first task. The present application can reduce the start delay of tasks and improve the deployment efficiency of the tasks.

The invention provides a risk scanning method in a cloud native environment and a bypass detector. An execution main body of the risk scanning method is a bypass detector, the container cloud platform is used for managing a container cluster for operating a service application, the bypass detector is deployed in an environment outside the container cloud platform, and the risk scanning method comprises the following steps: establishing a connection with an API of the container cloud platform; obtaining mirror image information of a mirror image used for operating the container in the container cluster through an API of the container cloud platform; determining a mirror image identifier of the to-be-downloaded mirror image and an address of a mirror image warehouse according to the mirror image information; determining a corresponding mirror image warehouse according to the address of the mirror image warehouse, and establishing a connection with an API of the mirror image warehouse; downloading mirror image data corresponding to the mirror image identifier from the mirror image warehouse through an API of the mirror image warehouse; and carrying out risk scanning on the mirror image data. According to the invention, the operation mirror image can be efficiently and accurately obtained and risk scanning can be completed under the condition of no agent.

The application relates to an image browsing method and device, computer equipment and a storage medium. The method comprises the following steps: in response to a browsing request of a user, corresponding hierarchical files are acquired; image identifiers and image attribute values corresponding to the images of the image identifiers are acquired from the hierarchical files; rendering data is calculated according to the image attribute values; corresponding images are acquired based on the image identifiers; the images are rendered according to the rendering data, and the rendered images are displayed. The method can improve browsing speed.