11 results about "Canvas element" patented technology

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.

The invention discloses a canvas construction method for an AI editing platform, and relates to the technical field of AI editing, and the method comprises the steps: analyzing the editing habit and content features of a user through a deep learning algorithm; defining and constructing a canvas element attribute system; analyzing and generating an initial canvas layout based on the natural language instruction; monitoring canvas operation behaviors and performance indexes in real time; carrying out editing and style unification on similar elements; and optimizing a canvas rendering strategy by using a reinforcement learning algorithm, and automatically selecting an optimal rendering scheme. According to the method, deep learning, reinforcement learning and AI technologies penetrate through the whole process of AI editing platform canvas construction, element organization is analyzed and optimized through user habits, layout is generated through natural language instructions, multi-dimensional views are synchronized, smoothness is guaranteed through dynamic layered rendering, efficiency is improved through modularization multiplexing and style inheritance, and the method is suitable for being popularized and applied. Meanwhile, a multi-objective optimization model is constructed to balance editing efficiency, visual effect and performance, and canvas construction is converted from passive manual operation to active intelligent adaptation.

The invention discloses an H5 continuous image capturing and processing method and system of Canvas, and relates to the technical field of image processing, according to the scheme, a Canvas element serves as a core to render a camera real-time video stream, frame data is captured to replace an H5 original single-time photographing API, continuous capturing can be triggered through single-time interaction of a user, multiple times of operation are omitted, and the API calling overhead is reduced; adjusting the display state of the H5 page according to the shooting direction, and adapting to the view angle requirements of horizontal shooting and vertical shooting; original image data is transmitted to a Web end background thread for asynchronous processing, so that the main thread resource of a browser is prevented from being occupied. According to the method, efficient capturing and smooth processing of continuous images are achieved in the pure H5 environment, the operation process is simplified, page jamming is prevented, the method does not need to depend on third-party plug-ins or native application packaging, the method can run in various terminal browsers supporting the H5 standard, the processed images can be visually fed back to a user, and the user experience is improved. And the actual demand of the Web application on continuous image capture is met.

The invention discloses a non-inductive verification code implementation method based on a Canvas fingerprint and a user interaction behavior, and the method comprises the steps: dynamically creating a hidden Canvas element through JavaScript when a user accesses a target page, executing a preset drawing instruction, and generating a unique Canvas fingerprint through the difference of different devices or browsers on a Canvas rendering engine; monitoring a natural interaction event of a user on a page, collecting dynamic behavior data, and extracting random characteristics of user behaviors as interaction behavior data; the back end receives the Canvas fingerprint and the interactive behavior data transmitted by the front end, extracts core features and fuses the core features, and constructs a verification sample; and based on a pre-trained machine learning model, performing classification judgment on the verification sample to obtain a verification result.

Disclosed is method for generating digital experience (DE) using system. The method includes receiving, in dialogue field (DF) of user interface (UI) rendered on first user device, first input signal (IS), for generating first structured output (FSO); rendering first canvas element (FCE) including information related to FSO at first location in canvas workspace (CW) of UI; receiving second IS in DF, for generating second SO (SSO); rendering second CE (SCE) including information related to SSO at second location in CW; analyzing, by spatial grammar interpreter of server system (SS), information in FCE and SCE with relative spatial arrangement, for generating semantic representation (SR) of user intent; constructing, by intent analysis pipeline of SS, intent graph (IG) based on SR; generating, by code generation service of SS, DE based on IG, rendering preview of DE on UI.

The application relates to a project configuration method, system, computer device and storage medium. The method comprises the following steps: acquiring function requirement information of a to-be-built project; performing a preset processing procedure according to the function requirement information, so as to determine at least one canvas element in the to-be-built project by using a preset visual configuration page, and select a target tool class corresponding to the canvas element from a preset class library; initializing the to-be-built project by loading the target tool class, so as to establish an association between the target tool class and the canvas element; and starting and stopping the target tool class by triggering the canvas element, and executing the target tool class according to a preset calling rule. According to the method, the project and the function code are independent of each other, the target tool class corresponding to the function requirement can be called at will according to the project requirement, and the target tool class can be quickly introduced to achieve the technical effect of out-of-box use.

The application discloses a kind of visual display method of knowledge graph, through using Canvas+WEBGL, calling GPU acceleration optimizes rendering performance problem under large data volume of browser end, reduces the phenomenon of page lag, solves the demand of data one screen presentation through boundary calculation method, realizes the accurate configuration of canvas element through rich configuration item parameter SetOption, solves the limitation that tool presentation theme is not flexible enough, exposes interactive event output canvas element data sufficiently, solves the problem of insufficient tool extensibility.

The invention relates to the technical field of front-end development, and provides a method and system for analyzing and constructing canvas elements based on a front-end style configuration object, and the method comprises the steps: constructing the front-end style configuration object used for describing the canvas elements, and defining the style, the structure and the interaction behavior of the canvas elements through the attributes of the front-end style configuration object; performing one-time analysis on the front-end style configuration object, converting a defined style attribute and an event into configuration data supported by a bottom-layer canvas operation framework, and constructing hierarchical relationship data among elements; and inputting the configuration data and the hierarchical relationship data obtained by analysis into a bottom layer canvas operation framework, driving the bottom layer canvas operation framework to perform canvas initialization and element drawing, and generating a canvas instance containing interactive canvas elements. According to the method, the technical contradiction that efficiency and flexibility are difficult to consider at the same time can be fundamentally solved, the application threshold and learning cost of the front-end canvas chart technology are reduced, and the development efficiency is improved.

The invention relates to a Canvas-based Web end image designer working area edge differentiation rendering method, system and device and a computer readable storage medium. According to the method, an HTML5 Canvas element is created, a double-buffer drawing context is initialized, a working area is dynamically defined, vector path data is generated, two picture instances are created and processed respectively, and the effects of normal display of an image in the working area and semitransparent display of an image outside the working area are achieved. And meanwhile, the geometric attributes of the picture instances are synchronously updated by sharing the affine transformation matrix, so that the operation consistency is ensured. The invention further provides an implementation mode of the system, the equipment and the storage medium, the implementation mode is suitable for a Web end advertisement picture design tool, and the user experience and the design efficiency are improved.

The application discloses a kind of based on single thread multiplexing and off-screen rendering Web multi-video concurrent processing method, comprising: creating globally unique shared decoding thread, for each video distribution virtual instance identifier and establish the mapping relationship with decoding context, the rendering control right of canvas element is handed over to the shared decoding thread, decoding is executed in the thread based on identifier routing and direct completion graphic rendering, form the closed loop that decoding and drawing are both closed in background;Measure first frame rendering time consumption, limit time trigger fuse degradation makes video instance switch to controlled step mode.The application will thread resource overhead fixation, eliminate pixel data cross thread copy, release main thread rendering load, and realize adaptive degradation alive under extreme load.

The invention relates to an intelligent canvas construction system and method for an insurance marketing scenario, the system comprises a hierarchical component gene pool, an AI auxiliary dynamic layout engine and a behavior triggering type interaction rule engine, the method comprises the following steps: combining and packaging insurance basic elements into a gene module, and defining corresponding component DNA (Deoxyribose Nucleic Acid), performing parameterization adjustment on the gene module to generate a corresponding component variant; configuring a layout rule library and establishing an interaction rule resource library; canvas elements are built by using a gene module, characteristics of the canvas elements are scanned in real time, and a scenarized layout scheme is generated based on a layout rule base and a marketing target selected by a user; and collecting user behavior data on the canvas, determining an interaction action through judgment of the conditional logic tree in combination with the interaction rule resource library, and updating the state of the canvas. Compared with the prior art, the method has the advantages that the problems of poor component reuse, inflexible layout and deep rule coupling of a traditional marketing scheme can be solved, and agile construction and accurate conversion of activities are realized.