873 results about "Typeface" patented technology

The invention relates to a stylized font generation method based on a diffusion model, and aims to solve the problems of font stroke structure disorder and style deviation in the prior art and realize accurate and stylized font generation. The method is divided into two stages: a first stage, performing pre-training of a font style classification task, including constructing a font style label, designing a style feature extraction network, and training by using a data set to obtain a pre-trained style encoder so as to extract font style features; and in the second stage, training of the generation model is started, style encoder parameters are frozen in the process, content features, stroke order structure features and style features serve as conditions, model parameters are optimized through mean square loss and contrast loss, and therefore a high-quality generation image is trained and generated. According to the method, the structural accuracy and style expressive force of font generation are remarkably improved, and efficient technical support and application value are provided for font library construction and design.

The invention discloses a product package planning-oriented AI-driven full marketing content design method, and relates to the technical field of marketing content design, and the method comprises the following steps: obtaining a product package design draft, extracting color, composition, font and semantic features based on a deep convolutional neural network, and carrying out the fusion to form a brand tonality mother vector of brand style tonality; calling a multi-modal analysis module, extracting visual and language features consistent with brand tonality vector dimensions from multi-modal marketing materials published by a brand recently frame by frame or sentence by sentence, and generating a marketing material feature vector set; according to the method, the brand tonality mother vector is constructed as the style anchor point, and the multi-modal material analysis, the time-sensitive style evaluation mechanism and the self-adaptive style jump strategy are combined, so that the content style consistency is monitored in real time, the capability of dynamically regulating and controlling the style according to the content fatigue risk is realized, and the real-time monitoring of the content style consistency is realized. And the content generation system is ensured to intelligently sense the change of the propagation environment and make a strategic response.

The invention discloses a dynamic data processing and recognition method and device for a mixed font text, and belongs to the technical field of optical character recognition, and the method comprises the following steps: collecting a mixed font text image to be processed, and inputting the mixed font text image into an enhanced DBNet detection network to position a text region; integrating a lightweight MobileNetV3 font classification sub-network, sharing bottom layer features with a detection trunk, training a multi-task network through a joint loss function, and outputting a text region with a font type label; then selecting identification branches according to the labels, and identifying the printed form by using the traditional CRNN; according to the handwritten form, traditional convolution is replaced by linear variable convolution, kernel dynamic scaling is guided by a thermodynamic diagram, and multi-head attention mechanism recognition is embedded in a BiLSTM layer; and finally, results are fused, and detection and identification results with labels are output. According to the method, the mixed font text data processing and recognition precision is improved, the adaptability and robustness of handwritten text recognition are enhanced, and various text recognition requirements are met.

A data processing system implements constructing a first prompt including a font mask of a reference character (RC) and a style prompt, sending the first prompt to a text2image model to iteratively generate salient content and concentrate the salient content within the font mask of RC as a first image of RC; concatenating two of the first images as a second image; generating a combined font mask of the font mask of RC and a font mask of a target character (TC); constructing a second prompt including the combined font mask and the second image, sending the second prompt to the model to iteratively generate salient content and in-paint the salient content within a half of the combined font mask as a third image of RC and TC; cropping a styled TC image from the third image using the font mask of TC; providing the styled TC image to a client device.

The invention discloses an unstructured file identification method based on primitive identification, and the method comprises the following steps: (1) preprocessing: cutting and zooming an electrical wiring drawing to a required size, and carrying out the gray processing; (2) primitive recognition: constructing a feature extraction network of an electrical primitive detection model by adopting a YOLO electrical primitive detection algorithm fused with an attention mechanism; (3) character recognition, which comprises the following steps: removing primitives, detecting an annotated text area, constructing a text candidate box, segmenting and adjusting an annotated text boundary, recognizing annotated text content, and filtering an electrical text recognition result; and (4) electrical element association relationship analysis, which comprises the following steps: frame element extraction, primitive group region division, template matching and electrical primitive-annotation text association. According to the method, the primitives and characters of the electrical wiring diagram can be obtained, the problem that different fonts and styles appear in marked characters can be solved, and semantic information can be understood.

To provide a suitable game machine.SOLUTION: In a game in which a counter value regarding a difference between a used game value and an imparted game value restricts progress of a game if an operation value is reached when no control is performed to an advantageous state, and restricts progress of a game after completion of the advantageous state when the operation value is reached during control to the advantageous state, prior notification is performed when the counter value reaches a prior notification value, and operation warning notification is performed if the counter value reaches the operation value when control is performed to the advantageous state, the font of a character used for prior notification is the same as the font of a character used for the operation warning notification, and the font of a character used for the prior notification and the operation warning notification differs from the font of a character used for error notification.SELECTED DRAWING: Figure 15-226

The invention relates to the field of character recognition systems, and discloses a Chinese ancient book character recognition method based on an image recognition technology, which comprises the following steps: reading an ancient book image according to an open source code computer vision library to obtain an original image; performing gray processing on the original image to obtain an image after gray equalization; according to a median filtering algorithm, carrying out de-noising processing on the image after gray scale equalization to obtain a pre-processed image; according to the method, multi-level feature extraction is carried out on the image through the real-time multi-scale detection model and the convolutional neural network, and character features of different scales and angles in the image can be captured; and therefore, the character recognition accuracy is improved, especially for the common font, typesetting, inclination or blurring conditions in ancient book images.

The invention discloses an intelligent completion code optimization method based on texture pre-rendering and multi-level cache, which comprises the following steps of: pre-establishing a grammar rule set and a GPU cache characteristic database, storing a grammar style sheet when a code editor is started, generating a font image set and loading current GPU cache parameters; after a candidate code segment list pops up through intelligent completion, dividing candidate code segments into data blocks, analyzing syntax types, determining character styles, and generating candidate code segment textures through instantiation rendering and a fragment shader; according to the current GPU cache parameter, the selected priority of the candidate code segment and the compressed volume, the texture is distributed to a first-level buffer, a second-level buffer or a global video memory according to a rule, and metadata is recorded and added into a global texture cache table; and after the user selects the candidate code segment, reading texture data from the corresponding GPU buffer, calculating a display coordinate by combining a cursor row and column index, an editor basic style parameter and a DPI scaling, completing texture rendering and drawing, and realizing optimized display of the intelligent completion code.

The invention discloses a chapter-level Chinese ancient book image restoration method and related equipment, and belongs to the field of ancient book restoration. The method comprises the following steps: acquiring ancient book images, and screening out intact ancient book images and damaged ancient book images; for an intact ancient book image, simulating damage in a random mask mode, and constructing a training data pair; for the damaged ancient book image, marking the position of the incomplete character, and determining the specific content of the incomplete character; constructing a repair model based on the diffusion model, and training the repair model; and using the trained model to gradually realize the restoration of the chapter-level ancient book image in the form of an overlapped sliding window in an autoregression mode. According to the method, on the basis of the damaged positions and the damaged text content of the ancient books marked by human experts, the diffusion model technology is adopted, an autoregressive restoration method is combined, automatic restoration of the chapter-level damaged ancient book image is achieved, and the overall consistency of the font style and the background is effectively kept in the restoration process.

An annotation method and an electronic device are provided. The method includes: An electronic device displays content of a first file in a first interface. The electronic device detects a preset operation in the first interface, and displays the second interface including a first region and a second region. The first region is used to display the content of the first file, the second region is used to display annotation content. A font format and / or a paragraph format of at least a part of words in the first region are / is different from a font format and / or a paragraph format of words in the first file in the first interface.

The invention discloses a PDF (Portable Document Format) document structured extraction system based on a multi-modal language model, belongs to the technical field of document processing and optical character recognition, and aims at solving the technical problem of how to improve the existing OCR (Optical Character Recognition) technology to improve the analysis capability of a complex document structure and improve the recognition precision of handwritten forms and other non-standard fonts. According to the technical scheme, the system adopts a layered decoupling architecture and comprises an input layer, a preprocessing layer, a reasoning layer, an output layer and a monitoring and fault-tolerant module; wherein the output layer is used for multi-source data access and path management to realize a local file system or S3 cloud storage; the preprocessing layer is used for invalid document filtering and visual feature extraction; the reasoning layer is used for multi-modal model interaction and content processing; the output layer is used for outputting a content aggregation result; and the monitoring and fault-tolerant module is used for realizing real-time state monitoring, resource consumption analysis and exception handling.

The invention relates to the technical field of UI design, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a font rendering optimization method, device, equipment and medium. The font rendering optimization method comprises the following steps: identifying position coordinates of a target character in a document object structure and determining a context environment type of the target character and a view area range where the target character is located; generating a font file request based on the target character and the context environment type, obtaining an adaptive font data packet, inputting a rendering model matched with the context environment type, establishing a binding relationship with the view area range, monitoring a display state change event of the view area range, and triggering a font resource updating operation according to event parameters. And obtaining incremental font data and configuring the incremental font data to font rendering parameters of the rendering model. According to the method, the character context environment and the view area state change are combined, the font data corresponding to the target character are requested and loaded on the client according to needs, and refined distribution and real-time updating of font resources are achieved.

The invention provides a calligraphy work automatic identification and evaluation method and system, and the method comprises the steps: collecting calligraphy pattern images of different calligraphers, fonts and styles, and forming a multi-dimensional labeling original data set; carrying out standardization processing on the acquired calligraphy images; extracting stroke-level manual statistical features by using edge detection and contour analysis based on the standardized sample, extracting high-dimensional deep features by using a convolutional neural network, and fusing to form a unified multi-dimensional style feature vector; and performing unsupervised clustering on the fusion feature vectors of all the samples, and establishing a high-dimensional style prototype library. Obtaining a multi-dimensional similarity vector of a newly input calligraphy image; performing semantic unification processing on the new sample; and performing real-time scoring output on the new sample by using the exclusive evaluation model. The method can efficiently and accurately identify and evaluate the calligraphy work, is high in adaptability, and can be widely applied to the fields of calligraphy teaching, calligraphy work evaluation, digital calligraphy management and the like.

In one aspect, a computerized method of automatically generating suggestions for a graphic design using a one click virtual button using an artificial-intelligence (AI) assistant for generating one or more contextually relevant graphics designs includes the step of receiving a digital design in a digital design tool. The digital design tool comprises the one click virtual button using the AI assistant for generating the one or more contextually relevant graphic designs. The method includes the step of detecting an event trigger for the one click virtual button. The method includes the step of with the AI assistant. The AI assistants operations includes determining and suggesting a set of alternate background images for the digital design, determining and suggesting a set of alternate font types, determining and suggesting a set of color replacements, determining and suggesting a set of alternate layout suggestions of multiple elements in the scene, determining and suggesting a set of icon replacements, determining and suggesting a set of graphs and chart replacements, determining and suggesting a set of resizes of the digital design, and determining and suggesting a set of alternate collage configuration. The method includes the step of enabling a user to selection at least of the as a user selection. The method includes the step of integrating the user selection into an updated version of the digital design. The method includes the step of displaying the updated version of the digital design in the digital design tool.

Apparatuses, methods, and systems for a computer-implemented method for electronic message generation are disclosed. One method includes receiving, by a server, an input description from a user, scraping, by the server, characteristics of other electronic messages of the user including at least colors and fonts, generating, by the server, N message sections based on the input description and the scraped characteristics, applying, by the server, colors, fonts, and designs to the generated N message sections, filtering, by the server, the generated N message sections to eliminate message sections that include pre-identified undesired characteristics, displaying, by the server, the filtered electronic message sections to the user, and receiving, by the server, feedback from the user regarding the displayed filtered electronic message sections.

The invention relates to the technical field, in particular to an AI classroom teaching quality evaluation method and system based on image recognition, and the method comprises the steps: obtaining a test paper RGB image and structured metadata, and generating multi-modal input data through graying, denoising and affine transformation; dynamically adjusting the weight through a double-branch feature extraction network (CNN + ViT), and extracting the global structure of the printed form and the local detail features of the handwritten form; generating a mixed font segmentation mask by using space attention, channel attention and dynamic routing regulation; optimizing handwritten answer recognition in combination with an educational knowledge graph; and fusing the answer expression and the attention data to generate a teaching quality evaluation report. The system comprises a data acquisition unit, a preprocessing unit, a feature extraction unit, a segmentation unit, an identification verification unit and an evaluation unit. According to the scheme, the accuracy of character segmentation and recognition in a mixed font scene is improved, and data support is provided for precise teaching in an education scene.

The invention provides a teaching document anti-copy protection method and system based on OCR interference resistance, and belongs to the technical field of information security and digital copyright protection. According to the method, anti-OCR font processing is applied to document characters, invisible disturbance symbols are inserted between characters or paragraphs, watermark information is embedded in document typesetting or font strokes, and finally a standard PDF or DOCX file is compiled. Watermark information is embedded through stroke thickness change, paragraph row spacing indentation perturbation and other modes. The system comprises a font disturbance module, a character disturbance module, a watermark embedding module, a compiling output module and a verification module. According to the method, the human eyes can normally read the document, but messy codes or disorder can occur when the OCR tool extracts the document, and the document cannot be directly reused; meanwhile, watermark information cannot be stripped, so that leakage tracking is facilitated; and the output file keeps a standard format and is compatible with the existing office teaching process. The method is suitable for anti-copying protection of teaching documents, scientific research data, test papers, contract files and the like.

The invention discloses a multi-agent multi-modal table question and answer method and system based on a cognitive collaboration mechanism. The method and system are particularly suitable for extracting accurate information from a complex, unstructured or multi-modal data source and answering questions of a user. The system is composed of four core modules, namely a task ontology analysis agent, a multi-modal clue perception agent, a logic verification agent and an arbitration fusion agent, and the task ontology analysis agent, the multi-modal clue perception agent, the logic verification agent and the arbitration fusion agent are integrated by receiving user questions and multi-modal table input. The intelligent agents cooperate to complete the processes of keyword extraction, intention recognition, vision-text cross-modal analysis, clue generation, logic verification, result fusion and the like, and an efficient cognitive closed loop is formed. The system not only supports operation on standard table data, but also can process visual clues such as complex header structures, cell merging modes, font styles and the like, so that the ability of understanding fuzzy or incomplete input is improved. Successful tests in a plurality of practical application scenes prove that the method has strong fault-tolerant capability and accuracy.

The invention discloses a character string fuzzy matching method and system, and relates to the field of character recognition, and the method comprises the steps: obtaining a plurality of characters of different font sizes and fonts, and constructing a font similarity matrix; in the replacement operation in the distance editing method, character similarity weighting is carried out on the cost of the replacement operation so as to construct a weighted distance editing method; a weighted editing distance is used for the two character strings to be matched, the obtained weighted editing distance is normalized, and the similarity of the two character strings to be matched is obtained; when the similarity is 1, the matching is successful; when the similarity is greater than a set similarity threshold value and less than 1, representing a suspicious matching result; when the similarity is smaller than a set similarity threshold value, the matching fails. The method can solve the problem that character errors exist in similar results recognized by the OCR technology.

The invention discloses a font generation method based on edge enhancement and multi-scale style fusion. The font generation method comprises the steps of constructing a reference font data set, constructing a target font data set, dividing the data sets, constructing a font generation network, training the font generation network and testing the font generation network. A content encoder is used for extracting content features of reference characters, a style encoder is used for extracting style features of target style characters, and a wavelet transform multi-scale attention module is used in the content encoder, so that the capability of capturing font content structure details is improved; an edge attention enhancement module and a multi-scale style fusion module are fused in a style encoder, and style expression of font stroke edges and multi-level textures is enhanced; and a full-dimensional dynamic jump connection module is introduced into the decoder to realize geometric alignment and semantic fusion of jump connection. Compared with the prior art, the method has the advantages that strokes of the generated fonts are clear, the style reduction degree is high, and the method is suitable for multi-style font generation and has good practical value.

A font generation method and apparatus, and a method and apparatus for training a font generation model. The font generation method comprises: acquiring a target text content vector of a target handwritten font image on the basis of a font generation model; inputting the target handwritten font image into a style branch of the font generation model, so as to extract a target text style vector, and determining a handwriting weighted style vector on the basis of the target text style vector, wherein the handwriting weighted style vector is obtained by means of performing weighted summation on basic font style vectors of a plurality of basic font styles; and acquiring a synthesized style font image, which is generated by a decoder of the font generation model on the basis of the target text content vector and the handwriting weighted style vector. The method can meet diversified requirements of a user for font styles and significantly improve the flexibility of font beautification effects.

The present invention relates to the field of document recognition technology, and discloses a method and system for automatically identifying regulations associated with letters. The method comprises the steps of file uploading, preprocessing, text recognition, chapter recognition, content extraction, tree structure building, and result display. In the image preprocessing, the present invention has accurate grayscale, flexible noise reduction, adaptive binarization, and efficient tilt correction, thereby improving image quality and ensuring the basis for text recognition. The text recognition process is innovative, and line segmentation and character segmentation are reliable and accurate. Character recognition combined with a standard character template library is intelligent and efficient, thereby improving accuracy. Table of contents recognition is judged in multiple dimensions through regular expressions, font features, and numbering structures, and the hierarchy is scientifically and verified, and the content extraction is reasonable. The tree structure is built based on the hierarchy, combined with refined node and content pairs, with clear levels. The modules of the system work together to achieve automated processing, providing users with convenient and intuitive display of regulatory information.

The invention provides a short play subtitle translation system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the system comprises a subtitle recognition module, an erasing module, a translation module and an output module, and can automatically recognize time information, position coordinates and visual style parameters of subtitles in a short play video. And generating a picture sequence without original subtitles in combination with the erasing processing, and translating the recognized original subtitle text into target language subtitles. The system generates target rendering parameters based on explicit style parameters and implicit style embedding vectors, realizes high restoration of fonts, strokes, shadows, gradient, transparency, textures and dynamic special effects, and performs adaptive adjustment according to target subtitle text features. Therefore, the visual consistency and culture adaptability of translated subtitles are improved in a short drama scene with complicated subtitle styles, frequent dynamic changes and obvious cross-culture differences, the audience impression is improved, and the manual post-processing workload is reduced.

The invention relates to a controllable Chinese character new font generation method and system based on a diffusion model, and belongs to the technical field of computer image processing. Based on the system, a user inputs a character image of a target stroke style and a character image of a target skeleton, then multi-scale skeleton features are extracted through a skeleton information extraction network, stroke style features are extracted through a stroke style extraction network, and the multi-scale skeleton features are extracted. And finally, denoising operation prediction of each step of the U-net network in the diffusion process is guided through the features, so that a new font character image conforming to expectation is generated. The method is inspired by a structure reference method, features are extracted from the input image through the neural network, a diffusion model is guided through skeleton features and stroke features to generate a new font style, and basic requirements of users are met.

The invention discloses a multi-channel integrated marketing contact content management system and method, and relates to the technical field of marketing contact content auditing, and the method comprises the steps: creating a plurality of marketing contacts in a unified management platform, and configuring a delivery channel; establishing a design specification rule base; receiving a marketing content picture uploaded by the user and associating the target channel with the contact; calling a rule base on the basis of a contact type, starting an AI auditing engine to carry out automatic compliance inspection on the picture, including preprocessing, layout identification, character extraction and character number statistics, font and character size identification, color identification and functional element detection, and comparing an identification result with a rule to generate an auditing result; and approving the delivery of compliant content and tracking the effect, and optimizing an AI engine and a rule base based on data. According to the method, AI intelligent auditing is embedded into the marketing content publishing process, multi-channel integrated management and intelligent auditing of the marketing content are achieved, the auditing efficiency and accuracy are remarkably improved, it is guaranteed that the content is standard and unified, and the labor cost is reduced.

The embodiment of the invention provides a wordart generation method and device, electronic equipment and a storage medium, belongs to the technical field of image processing, and is suitable for the field of finance. The method comprises the steps of obtaining an original font, and performing wordart generation on the original font through a preset wordart generation model to obtain a predicted wordart; performing style loss value calculation according to the original font, the predicted wordart and a preset reference wordart to obtain a style loss value; performing structure loss value calculation according to the predicted wordart and the reference wordart to obtain a structure loss value; performing parameter optimization on a preset wordart generation model according to the style loss value and the structure loss value to obtain a target wordart generation model; and obtaining a target font, and performing wordart generation on the target font through the target wordart generation model. According to the embodiment of the invention, the wordart capable of reflecting different calligraphy styles can be generated.

A non-transitory computer-readable storage medium stores an application program which causes an information processing apparatus to perform a control method, the application program cooperating with an Internet Printing Protocol (IPP) Class Driver. The control method includes accepting a setting on conversion of a file to be printed, and, when a setting not to perform the conversion is accepted and a font used in the file to be printed is not embedded in the file to be printed, embedding the font.

In various embodiments, systems and methods for design-aware replacement font suggestions are provided. In some embodiments, a substitute font-suggestion algorithm holistically considers how the original string of text from the original layout appears when re-rendered in a same-sized text frame using a potential replacement font. In some embodiments, the substitute font-suggestion algorithm generates a first image of a text frame including the text string using the first font and generates a plurality of second images of the text string using candidate replacement fonts. A ranking of the candidate replacement fonts is generated based on computing a score for each of the individual second images that represents similarity between the first image and the individual second images. Based on the assessed similarities, a ranked listing of substitute font suggestions is displayed.

The invention relates to a template-based multi-format layout file generation method and system, and the method comprises the following steps: generating a template object and a data object through analyzing a template file and a data file, constructing a document object of a fixed page through a dynamic paging calculator and a preset strategy class diagram, and supporting multi-format output; data volume self-adaptive paging is realized through a paging strategy, and cross-page table header repeated rendering and cell merging are supported; a middle data layer is adopted to separate contents and formats, and a coordinate system conversion algorithm is utilized to realize output of formats such as PDF and OFD. I / O consumption is reduced by lazy loading of a font resource pool, and table dynamic expansion and cross-page association are realized based on gridding modeling. According to the method and the device, the problems of incapability of self-adaptive paging and poor compatibility of multi-format output of traditional template sleeve printing are solved, and the efficiency and the consistency of layout file generation in a government affair electronic scene are remarkably improved.

To provide a suitable game machine.SOLUTION: In a game in which a counter value regarding a difference between a used game value and an imparted game value restricts progress of a game if an operation value is reached when no control is performed to an advantageous state, and restricts progress of a game after completion of an advantageous state when an operation value is reached during control to an advantageous state, prior notification is performed when the counter value reaches a prior notification value, and operation warning notification is performed if the counter value reaches an operation value when control is performed to an advantageous state, the font of a character used for prior notification is the same as the font of a character used for operation warning notification, and the font of a character used for prior notification and operation warning notification differs from the font of a character used for error notification.SELECTED DRAWING: Figure 15-226