31 results about "Copy paste" patented technology

The present application provides a cross-device data synchronization method and an apparatus, for use in improving the success rate of cross-device copying and pasting. The method comprises: a first apparatus sends a first broadcast message, the first broadcast message being used for indicating synchronization of first data, the first broadcast message comprising a first relative time, and the first relative time being used for indicating the time at which the first apparatus obtains the first data through copying; and upon receiving the first broadcast message, a second apparatus synchronizes the first data from the first apparatus on the basis of the first relative time.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate a modified digital image depicting a transparent object utilizing a transparency properties neural network. For example, the disclosed system accesses a trimap for a source digital image depicting a transparent object. The disclosed system utilizes the trimap of the source digital image and the source digital image to generate an alpha matte and a refractive flow. Specifically, the disclosed system generates the alpha matte and refractive flow by utilizing a transparency properties neural network. Furthermore, the disclosed system generates the modified digital image depicting the transparent object (from the source digital image) within a background of a target digital image, by modifying a portion of the background of a target digital image behind the transparent object utilizing the alpha matte and the refractive flow.

The invention provides a log analysis method based on an intelligent agent. In the method, firstly, a first command is received, and a first log is obtained based on the first command; secondly, on the basis of the context of the first log and the first cue word, a network object entity contained in the first log is recognized through a large model agent, the large model agent comprises a large model, and the large model is guided by a network object entity rule; the first prompt word is used for guiding the large model to identify the network object entity and the position thereof in the first log. Next, in response to a selection operation on a target network object entity, a second command is triggered, the target network object entity belongs to the network object entity contained in the first log, and the second command is generated through the large model agent according to the target network object entity, a second prompt word and a network object entity rule. Finally, a second log is obtained based on the second command. The method solves the problems that in traditional command operation, the information needs to be manually copied and pasted, a new command needs to be input, operation is tedious, and workflow is interrupted.

This invention discloses a context-based copy-paste data augmentation method, system, and storage medium for multi-class remote sensing target detection, belonging to the field of image processing and target detection technology. The method is implemented through the following steps: First, prepare a multi-class remote sensing dataset and set hyperparameters; second, generate copy regions of spatial context, using the DBSCAN clustering method to preserve target spatial context information; next, generate paste regions of semantic context, using a ResNet50 network to extract background feature vectors and match candidate paste regions; finally, perform the paste operation and update the annotation information. This invention generates copy regions through clustering, preserves spatial context, and matches paste regions based on semantic context, making the augmented image closer to the real image. It effectively alleviates the long-tail problem of datasets, enhances the network's learning balance, improves detection performance in low-sample classes and complex scenes, and can be seamlessly integrated with various remote sensing target detectors.

A method provides techniques for accidental copy-paste action prevention. The method includes obtaining, by a processor of an electronic device that includes a display and at least one input device, content selected via the at least one input device, from an application window that is rendered on the display. A source context from the selected content is determined. A paste operation that inserts the selected content into a communication window that is rendered on the display is detected. A destination context is determined, based at least in part on one or more participants in the communication window. A conflict between the source context and the destination context is identified. In response to identifying the conflict, a transmit option for forwarding the selected content via the communication window is suspended, preventing the information from being sent, and a context conflict alert is rendered on the display.

Using an AR device, a content item from a real-world environment is captured. An electronic device within a field of view of the AR device is then identified and a representation of the content item is transferred to the electronic device in response to detecting a user gesture to do so. A context of the electronic device into which the representation of the content item should be transferred is determined and a command is then transmitted to the electronic device to cause transfer of the representation of the content item from the AR device to the electronic device in the determined context.

A canvas element copying and pasting method and apparatus, an electronic device and a storage medium. The method comprises: performing data coding to obtain custom-type data; performing data type conversion to obtain alternative-type data; storing the custom-type data and the alternative-type data in a pasting board; and, if the custom-type data is supported, analyzing the custom-type data or, if not, analyzing the alternative-type data.

This invention discloses a method for merging multiple Excel spreadsheets, specifically relating to the field of data processing technology, including the following steps: S1, Spreadsheet preprocessing and folder creation: Create a new folder, copy the target Excel spreadsheets to the folder, select any spreadsheet, insert a blank row, and save; S2, Batch import spreadsheets: Import all spreadsheets in the folder using Excel's PowerQuery editor, specify the worksheet, filter the data, and upload it; S3, Data processing: Copy the uploaded data, paste it as "values" into a new worksheet, and remove formatting interference; S4, Subtotal calculation: Use Excel's subtotal function to set grouping fields, summary items, and calculation methods to generate the merged calculation results; S5, Filter or further process the summary results. This method is suitable for batch data calculations, greatly reducing the hassle of manually opening, copying, and pasting each item, quickly completing data merging, and achieving 100% accuracy in calculations involving thousands of spreadsheets. The batch calculation is highly efficient and fast, making it worthy of widespread promotion.

This invention provides a blind forensics method for small-target copy-paste tampered images. In the first stage, the input image is preprocessed, and residual features are extracted from the preprocessed input image using a residual super-resolution network. These residual features are then super-resolutiond to obtain a super-resolution image. In the second stage, the tampered image is first preprocessed and then input into the trained residual super-resolution network to obtain residual features and the super-resolution image. Next, frequency domain features are extracted from the super-resolution image, and then fused with the residual features to obtain cross-domain features. Multi-scale features are extracted from these cross-domain features. Finally, prediction masks for the multi-scale features are obtained through convolution and upsampling operations. Each prediction mask is transformed to the same dimension through convolution operations and then summed point-by-point to obtain a predicted segmentation map, completing the blind forensics process. Super-resolution of the tampered image into a high-resolution image improves the network's ability to recognize small targets; and full utilization of frequency domain information in the tampered image to obtain tampering artifacts improves the network's ability to detect tampered regions.

A method for a copy-paste tampered image detection, including: extracting, using a scale-invariant feature transformation algorithm, key points of an image and features corresponding to the key points; constructing, using a gradient hash matching algorithm, a hash table based on the features, and putting the key points into rows corresponding to serial numbers of the hash table; performing a matching operation, using a k-nearest neighbor algorithm, on the key points in each row of the hash table to obtain key point pairs; and clustering and grouping, using a distance clustering filtering algorithm, the key point pairs, and retaining the key point pairs in a cluster group whose number of the key point pairs is greater than a quantity threshold; and marking circles in the image with each key point, in the key point pairs that are retained, as a center and according to a specified radius.

The system according to this embodiment aims to accurately determine whether or not a work created by a generative AI infringes on copyright. [Solution] The system according to the embodiment comprises a reception unit, an evaluation unit, a calculation unit, and a judgment unit. The reception unit uploads the materials. The evaluation unit inspects the materials uploaded by the reception unit and evaluates the copy-paste rate of the information existing on the Web. The calculation unit calculates the generation AI creation rate based on the copy-paste rate evaluated by the evaluation unit. The judgment unit uses the generation AI creation rate calculated by the calculation unit as a basis for making decisions such as resubmission or rejection.

The application provides a quick copy form method based on a browser plug-in, which comprises the following steps: a plug-in installation and activation step, a data source selection step, a data extraction step, a target page positioning step, a data matching and filling step, and a data verification and adjustment step. The application can solve the problems of complicated operation, low efficiency and easy error in manual copy and paste of webpage form data in the prior art, thereby realizing quick, accurate and convenient copy of webpage form data.

The application belongs to the technical field of artificial intelligence compliance application, and discloses a data exposure surface silent monitoring method and system, which comprises the following steps: determining an event type according to the behavior scene of a terminal user, extracting a source process identifier of a triggering event in a terminal operating system and identifying an abnormal event; using a double-factor network flow conviction mechanism or a cross-session clipboard tracing mechanism, and combining the source process identifier, behavior rights of the corresponding abnormal event are determined; comparing network and process level fingerprints or interface window level fingerprints of the abnormal event after the rights are determined with a dynamically issued characteristic fingerprint library, generating an audit log containing an AI exposure surface high-risk early warning label according to the comparison result, and executing corresponding audit or blocking strategies. The application can realize accurate capture and high-light warning of the double exposure surfaces of code-level API automatic feeding and webpage manual copy-paste feeding without decrypting the HTTPS flow load content.

The invention relates to the technical field of computers, and discloses a comment method and device, equipment, a medium and a product.The method comprises the steps that in response to a comment display operation for a target fragment in a target text, a comment interaction interface corresponding to the target fragment is displayed on a graphical user interface; displaying a formation comment control corresponding to the formation copywriting of the target segment in a comment interaction interface; the formation copywriting is a copywriting determined according to clustering of at least part of historical interaction data of the target fragment; and in response to an interaction operation aiming at the formation comment control, sending comment contents containing the formation copywriting. According to the method, the comments containing the formation copywriting can be generated and published in a one-button mode, manual copying and pasting of the user are not needed, user operation can be greatly simplified, and the participation threshold of following the formation is reduced.

Excerpting on the computer currently involves extracting important text passages from a source document to an excerpt document using Copy and Paste. A computer-implemented method and two computer-implemented applications are described that make excerpting on the computer more efficient for the user. They recognize the release of a button pressed while selecting a portion of a source document, such as the release of the left mouse button at the end of making a selection with the mouse. Upon the release of the button, the selected portion is copied and pasted into an excerpt document without further user input. Definitions of insertion positions are described that allow the CPU to conduct such copying and pasting without user input. It is shown how the definitions provide the user with useful options and results. Some extensions lead to further efficiency of excerpting on the computer for the user.

This invention relates to a method for detecting minute targets in special-purpose vehicle driver behavior monitoring, belonging to the field of computer vision. Specifically, the method first uses a Diffusion network to generate simulated data highly similar to real data through a Markov chain approach with forward and backward derivation and iterative diffusion operations. Then, a specific instance copy-paste technique is used to paste minute targets from the pre-processed image into arbitrary positions, generating a synthetic image rich in minute target information. A dual-path parallel distillation learning network is then used to distill a series of Student networks tailored to different application scenarios, forming a network space suitable for different special-purpose vehicles. Finally, a multi-source, multi-objective optimized knowledge matching network is used to match the special-purpose vehicle with the Student networks in different scenarios. This method can match special-purpose vehicles with different monitoring performance and detection speeds, meeting the monitoring needs of various scenarios.

The application discloses a kind of variable cluster spectral clustering-based image copy-paste tampering detection method and system, comprising the following steps: S1, extracting key point feature information from the input image, construct key point set;S2, the key point set is layered feature matching, and matching point is obtained;S3, construct tendency vector, and utilize tendency vector to delete error matching point;S4, variable cluster spectral clustering is used to cluster matching point, and the matching point that meets similar transformation is divided into the same cluster, the variable cluster spectral clustering includes spectral clustering and dynamic adjustment to cluster;S5, estimate affine matrix by the matching point in cluster, and the tampering region of image is positioned according to affine matrix, and the positioning result of tampered region is output.This method compared with traditional technology, using tendency vector clustering, can dynamically adjust the number of clusters according to the number of tampering regions of the image to be detected, improve the accuracy of tampering detection.

The application provides a paste method of clipboard content and related devices. Wherein, the electronic device can identify the paste scenario and the user intention of the user for copying and pasting based on the copied page and the pasted page. According to the paste scenario and the user intention, the electronic device can extract the to-be-pasted content from the copied content, which meets the user intention and matches the input box in the pasted page. The electronic device can provide the above to-be-pasted content for the user to select and input into the input box in the pasted page. The above method can effectively improve the efficiency and experience of the user for copying and pasting.

Unified solutions for agentic automation and robotic process automation (RPA) with self-healing and capabilities to increase autonomy are disclosed. AI agents “coexist” in tandem with RPA robots that execute RPA automations. The AI agents can dynamically leverage the tools available via these RPA robots to perform document processing, user interface (UI) automation, semantic copy-and-paste between a source and a target, etc. AI agents can dynamically select these tools and execute them in the form of a pipeline.

A paste command to transfer data to a user interface (UI) text field of a first command line interface (CLI) is detected. The data is inhibited from being transferred to the UI text field. The data is caused to be entered as a command to a second CLI of an isolated computing environment. Information generated in response to the data being entered as the command to the second CLI is output.

The application relates to the field of Fintech (Fintech), and discloses a reporting task processing method and device, which are used for solving the problem that a user manually extracts key information in mail content and copies and pastes the key information to an internal ITSM system, and a large amount of manual cost is wasted. The method comprises the following steps: obtaining a target mail, wherein the target mail is a to-be-processed mail meeting a first preset condition; determining a target mail category according to the target mail and a text classification model; determining a target matching rule and target reporting interface information according to the target mail category; and reporting key information in the target mail to a system corresponding to the target reporting interface information according to the target matching rule and the target reporting interface information.

A peripheral sharing device for supporting secure copy-paste operations between hosts comprising: a plurality of copy-emulators and a plurality of paste emulators, configured cach to be connected to a copy-paste driver, wherein cach copy-paste driver is running on one of a plurality of hosts that are connected to the peripheral sharing device, and the copy-paste driver is configured to fetch or store clipboard objects from the clipboard of the corresponding host, a security bridge that is configured to securely pass clipboard objects between pairs of copy emulator and paste emulator. The security bridge performs security operations, such as, enforce unidirectional data transfer of the clipboard object, monitor the clipboard object and enable or disable the copy-paste operation according to a set of security rules; enable or disable the copy-paste operation according to security policy, analyze clipboard object traffic to detect cybersecurity events, locking suspicious peripheral sharing devices, and preventing clipboard object transfer between pairs of copy-paste controllers according to security rules. The copy emulator receives the clipboard object from the copy-paste driver of a first host, transfer the clipboard object to the security bridge and conditioned upon passing the security conditions the security bridge transfer the clipboard object to the paste emulator that further pass the clipboard object to a second computer's copy-paste driver.

The application discloses a role consistency video generation method based on content reference frames, comprising the following steps: 1, encoding the input multi-modal signal; 2, designing a superset reference frame mechanism, expanding the reference frame selection range to the complete long shot video to which the training segment belongs, and providing reference frames inside and outside the training segment to avoid the model from producing a copy-paste mode; 3, introducing a rotation position coding weak condition mechanism, assigning different time offsets to reference frames of different types and subcategories, and eliminating attention conflicts between multiple reference frames; 4, constructing a speed prediction loss function based on a flow matching framework and training. Through the reference frame design, the application provides stable visual references for the role in video generation, thereby effectively realizing long-time, multi-view appearance and expression identity consistent role video generation.

The invention provides a text carrier control rendering method and device, and relates to the technical field of infrastructure and information technology support. The method comprises the following steps: acquiring a copying mode of a text carrier control, and acquiring a character string object to be displayed; in response to the fact that the copying mode supports copying, according to the character type of each character in the character string object, a preset target attribute is added to each character, and a target attribute value of each character is determined; obtaining a continuous font drawing object of each character of the character string object according to the target attribute value of each character; and rendering each continuous font drawing object to display a background view of the character string object. According to the embodiment of the invention, the response time of the control and the refreshing time of the selection box can be shortened, the character searching efficiency in the rendering process is improved, the problem that the text carrier control is stuck during large text rendering is solved in a more efficient bottom layer rendering mode, and the in-end image-text mixed arrangement copying and pasting function is realized.

The present disclosure provides an information processing method, device, electronic equipment and storage medium. An information processing method comprises: in response to a first operation event of copying first information, copying data of the first information, obtaining a first positioning identifier associated with a target resource in the first information, the target resource being included in the first information; in response to a second operation event of pasting the copied data and sending, obtaining a second positioning identifier of source data based on the first positioning identifier, associating the target resource in the second information to be sent with the second positioning identifier, and sending the second information; wherein the first positioning identifier and the second positioning identifier are different identifiers of the source data corresponding to the target resource in the first information in a server. In the process of copying, pasting and sending, the present disclosure does not need to download the source data, but maps the source data through the second positioning identifier.

Excerpting on the computer currently involves extracting important text passages from a source document to an excerpt document using Copy and Paste. A computer-implemented method and two computer-implemented applications are described that make excerpting on the computer more efficient for the user. They recognize the release of a button pressed while selecting a portion of a source document, such as the release of the left mouse button at the end of making a selection with the mouse. Upon the release of the button, the selected portion is copied and pasted into an excerpt document without further user input. Definitions of insertion positions are described that allow the CPU to conduct such copying and pasting without user input. It is shown how the definitions provide the user with useful options and results. Some extensions lead to further efficiency of excerpting on the computer for the user.

The application discloses a system and method for detecting image copy-paste tampering, which comprises the following steps: calculating the similarity vector between image regions; dividing the image into three different matching modes according to the relationship between the regions and their matching regions; sorting the similarity vectors of all regions in descending order and recording the positions of their matching regions; fusing the similarity vectors of different regions according to the matching position relationship to obtain a fused similarity matrix; extracting an attention map from the fused similarity matrix and modulating a feature map; splicing the feature map and the fused similarity matrix to obtain a fused feature map; inputting the fused feature map into a tampering detector to extract a copy-paste detection mask; splicing the feature map after double-mask separation into a new feature in the channel dimension, and inputting the spliced feature into a source-target locator to obtain a source-target positioning mask; adopting a cross-entropy loss function tampering detection network; and inputting a single image into the trained tampering detection network to obtain a detection result.

This invention belongs to the field of artificial intelligence and educational data mining technology, and provides a method and system for determining learner cognitive state based on human-computer collaborative interaction process data. By collecting front-end interaction timestamps, text, reading pauses, and copy-paste data, response latency, reading rate, word frequency density, semantic similarity, and text similarity are extracted. After being aggregated into a three-dimensional temporal feature tensor through sliding window slicing, it is input into a long short-term memory neural network for decoding, which determines whether the learner is in a shallow cognitive outsourcing state corresponding to content reuse or a deep active construction state corresponding to content reconstruction, thus achieving real-time and accurate assessment of the learner's cognitive state.

1. The name of the design product: the sock machine needle selection data editing graphical user interface of an electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best shows the design points: the front view. 5. The use of the graphical user interface: the graphical user interface of the design is used for editing the needle selection data of the sock machine. Clicking the needle type on the right side of the different numbers in the middle of the interface can display the selected needle type in the vertical grid above in an enlarged manner. Pressing and holding the slider on the middle of the drag bar can quickly move to the right to view all the needle positions, and clicking the vertical grid above the drag bar can select the needle position for editing. Clicking the different function buttons at the bottom of the interface can perform operations such as copying and pasting on the needle type.