173 results about "Text box" patented technology

The invention discloses a character recognition method and system based on a large model and an OCR technology, and relates to the technical field of character recognition, and the method comprises the steps: extracting picture information, carrying out the unified preprocessing, generating a text detection box of a character region through a DBNet lightweight text detection model, and obtaining a text position; quickly identifying characters in the textbox by using a lightweight OCR model to obtain text content, and generating an identification information group; carrying out average value calculation on the confidence coefficient of the lightweight OCR model result, and analyzing the overall confidence coefficient; and for the result with low confidence coefficient, inputting the corresponding identification information group into the multi-modal large model, and carrying out secondary identification. According to the method, the text position set and the text character string sequence are combined into the identification information group, so that the effect of structured storage of detection and identification results is achieved, subsequent information retrieval and multi-modal fusion analysis are facilitated, and the effect of optimizing the subsequent processing efficiency and precision is achieved through the combination of the confidence coefficient screening step.

The embodiment of the invention discloses an architectural drawing signature character recognition and control method and device, equipment and a medium. A specific embodiment of the method comprises the steps of obtaining an original architectural drawing image; performing full-graph character perception detection on the original building drawing image to obtain coordinate information of a full-graph detection textbox; generating an image label ROI image based on the coordinate information of the total image detection textbox; self-adaptive direction correction is carried out on the picture label ROI image, and a picture label ROI image after direction correction is obtained; performing scale space transformation enhancement on the ROI image of the picture label after the direction correction to obtain an enhanced ROI image of the picture label; performing structured semantic analysis extraction on the enhanced drawing tag ROI image to obtain structured drawing metadata; and based on the structured drawing metadata, downstream physical equipment is controlled to execute associated automation operation. The implementation mode provides key technical support for digital management of the constructional engineering drawings.

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 the technical field of artificial intelligence, and discloses a paper text processing method based on intelligent glasses. The method comprises the steps that intelligent glasses are awakened through an awakening word, a user can conduct image recognition through a voice instruction, and whether a textbox is complete or not is judged. If the textbox is complete, character recognition is carried out; if not, the intelligent glasses help the user to adjust through voice guidance until the textbox is completely displayed. If the recognized characters are not the language set by the user, the intelligent glasses automatically translate the recognized characters into the user language, and voice synthesis is carried out to generate a voice file. And after generation, inquiring the user whether to play the voice, and if not, encrypting and storing the voice file. The problems that current text detection precision is not high, the reading process is not natural, user control is complex, and a feedback mechanism is single are solved.

The invention belongs to the technical field of retrieval enhancement generation. According to the title and entity retrieval-based multi-document knowledge graph question and answer method and system, each document is analyzed to obtain a title set, a table set and a text block set corresponding to each document; generating a plurality of simulation question and answer pairs based on the number of characters of each textbox in the text block set, and performing entity extraction and relation extraction on the simulation question and answer pairs by adopting a large language model to obtain an entity set and a relation set; constructing a title layer according to the title set and the title hierarchical structure, constructing a text block layer according to the text block set and the table set, and constructing an entity network layer according to the entity set and the relation set; determining a sub-knowledge graph of each document according to the title layer, the text block layer and the entity network layer, and determining a multi-document knowledge graph according to the sub-knowledge graph of each document; determining question answers according to the query questions and the multi-document knowledge graph; according to the method and the device, cross-document information reasoning is realized, and question answering precision is improved.

The invention relates to the technical field of data generation, and discloses a training content generation method and system based on a deep learning model and a storage medium, and the method comprises the steps: obtaining basic content data, and extracting text, table and format content to generate structured data; identifying a content structure and extracting training knowledge elements through deep learning model semantic analysis, and constructing a knowledge graph in combination with an association relationship between the elements; calculating the occurrence frequency, the content chapter and the core degree of the training knowledge elements to obtain a difficulty coefficient; obtaining training parameters, calculating a knowledge coverage coefficient and a knowledge depth coefficient, and generating initial content in combination with the first text framework and the large language model; and performing full-content verification and correction through the second text framework to obtain training content. According to the method, the training content is automatically generated, the problems of low efficiency, high cost, unstable quality and the like of manual question setting are solved, and the scientificity and pertinence of the training content are improved.

A system for adaptive text rendering includes an editor, a context analyzer, an adaptive text generator, and a feedback and learning engine. The editor renders a text box on a digital canvas and receives user input via the text box. The context analyzer extracts contextual information from digital content associated with the digital canvas. The adaptive text generator uses the user input, text box dimensions, and contextual information to direct an artificial intelligence (AI) model to generate text. It then formats the generated text to fit within the text box based on one or more fit criteria. The feedback and learning engine captures and evaluates user feedback related to the formatted text and generates tuning adjustments to refine the adaptive text generator or the AI model.

The embodiment of the present application discloses a kind of plaque information acquisition method and device.The method and device of the present application according to the characteristics that plaque information is generally represented as attribute name plus attribute value key-value pair, adopt optical character recognition to extract plaque image text box, obtain the multiple different text boxes that are gathered in different regions on image, then, for text box classification, determine the category of text box, merge unit information text box with the attribute value text box closest to it, whereby, determine to obtain all attribute value text box and attribute name text box, again according to position information matching attribute value text box and attribute name text box, extract corresponding relationship, after matching is completed, the text information corresponding to is extracted to form the key-value pair of plaque information.Thereby, without complex recognition model, also without substantially increasing computational complexity, can accurately identify plaque information, facilitate offline staff to automatically collect plaque information.

This invention discloses a method, apparatus, and device for evaluating the quality of medical document images, relating to the field of medical technology. The method includes: acquiring a medical document image to be evaluated; detecting text boxes containing text content within the image; inputting the text boxes into a text fuzzy prediction model to obtain a fuzzy prediction result for the text boxes; and determining the quality of the medical document image based on the fuzzy prediction result. This method can accurately evaluate the quality of medical documents that are partially clear and partially blurred.

The invention provides a video processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: extracting a plurality of key frames from a video to be processed; grouping the first textboxes contained in the key frame to obtain a plurality of textbox groups, and forming a text content set corresponding to the key frame according to the text content of the second textbox in each textbox group, marking the corresponding text content in the text content set according to the target plot element corresponding to each text content in the text content set to obtain a marked text content set, and taking the timestamp of the key frame as the target timestamp of the marked text content set, and forming plot content of the video to be processed according to the marked text content set corresponding to each key frame and the corresponding target timestamp. Therefore, the restored plot not only contains the clear plot elements, but also has the clear timeline, so that the finally presented plot content is more comprehensive.

The application discloses a sketch representation enhancement method and system based on self-supervised learning, in the image and text feature extraction stage, the sketch is augmented and transformed, the text box content in the sketch is recognized, and the text content and the sketch are encoded respectively to obtain text features and image features; in the sketch representation enhancement stage under the guidance of the text, the text features are used as the basis, and a guide attention unit is applied to enhance the image features; in the contrast self-supervised learning stage, the original image and the augmented sketch enhancement features are mapped into a low-dimensional vector space through a projection function, and the loss is calculated by the low-dimensional vector and the model is optimized.

1. The name of the design product: historical slice device management graphical user interface for electronic equipment. 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 indicates the design points: front view. 5. The use of the graphical user interface: the present graphical user interface is used to view and filter device printing activity data. 6. The human-computer interaction mode of the graphical user interface: the front view is the home page interface of historical slice device management, the user can click the text box and its drop-down icon on the "data panel" in the front view to filter the device, such as (interface change state diagram 1); select the "start date" and "end date" text boxes in the interface change state diagram 1, the interface changes to the interface change state diagram 2; click the "confirm" option button in the interface change state diagram 2, the interface changes to the interface change state diagram 3.

The present application relates to the field of character recognition and image processing, and particularly relates to an ancient book and handwritten character intelligent recognition method and system. The method comprises: obtaining a whole page image by scanning an original page of an ancient book document, sequentially performing correction, enhancement, denoising and standardization processing to obtain an input image and a text label; using a character detection model to segment a character region and generate a text box coordinate, classifying a handwritten and printed character block, and establishing a corresponding relationship between a region, a coordinate, a category and a text label; performing horizontal and vertical projection to generate a projection block, calculating a sliding window parameter through a connected domain and a reference height, and adjusting a boundary to generate a recognition block; performing unified character processing and character recognition to obtain a result, triggering dynamic resolution optical character recognition and boundary adjustment through joint judgment, and outputting an overall detection and recognition result and a returnable recognition block. The present application improves the recognition accuracy and adaptability through closed-loop reprocessing and dynamic adjustment of the recognition block.

The invention relates to the technical field of artificial intelligence, and provides a bill recognition method, a bill recognition device, a medium and equipment, and the method comprises the steps: recognizing the orientation of a bill through a bill direction judgment model after a bill image is obtained, and carrying out the direction correction of the bill image according to an orientation recognition result; detecting a character area from the bill image after direction correction through a bill character detection model, and cutting the bill image based on the position coordinates of the textboxes to obtain a plurality of textbox images; recognizing text content corresponding to each textbox image through a bill character recognition model; inputting the position coordinates and the text content of each textbox into a bill field structured model for structured semantic analysis, and generating a structured recognition result of the bill; wherein the at least one model is obtained by training a training sample subjected to data enhancement processing. According to the invention, high-precision identification of bill information can be realized in a real scene with low image quality.

An information processing device includes an acquisition unit that acquires document data, a first extraction unit that extracts a first keyword from the document data in its entirety, a second extraction unit that extracts a second keyword from a text box included in the document data, a determining unit that finds a difference set between the first keyword and the second keyword, and determines a non-redundant keyword based on the difference set, and a classification unit that classifies the document data by assigning a classification tag to the document data. The classification unit excludes the classification tag related to the non-redundant keyword from candidates for the classification tag to be assigned to the document data, and then assigns the classification tag.

The invention provides a freehand circuit diagram recognition method, device and equipment based on an improved YOLOv11 algorithm, and relates to the technical field of image recognition. The method comprises the following steps: inputting a freehand circuit diagram to be recognized into an improved YOLOv11 algorithm to obtain an element recognition result and a textbox recognition result of the freehand circuit diagram to be recognized; wherein the improved YOLOv11 algorithm comprises an improved C3k2-PSE module based on a partial convolution unit and an enhanced space-channel cooperation unit; extracting coordinate information of element end points, coordinate information of nodes and characters in each textbox in the to-be-recognized hand-drawn circuit diagram from the to-be-recognized hand-drawn circuit diagram; and according to the coordinate information and the recognition result of the YOLOv11 algorithm, combining the endpoints and nodes of the elements, each element and the characters in each textbox into an electronic circuit diagram, and obtaining the recognition result of the freehand circuit diagram to be recognized. According to the invention, the discrimination degree of similar elements can be improved, so that the to-be-recognized hand-painted circuit diagram can be recognized accurately.

The application discloses a ship name recognition method, an electronic device and a storage medium, wherein the ship name recognition method comprises the following steps: acquiring a plurality of to-be-recognized images; performing track association on a ship detection frame and a text detection frame in the plurality of to-be-recognized images to determine a target ship and a target text associated with each other; performing track fitting based on a track of a text detection frame associated with the target text to obtain an included angle between a track fitting straight line and a horizontal plane; correcting the text detection frame according to the included angle, and recognizing the target text based on the corrected text detection frame to obtain a ship name recognition result of the target ship. That is, the application corrects the text detection frame corresponding to the target text frame through the included angle between the track fitting straight line of the target text and the horizontal plane, so as to improve the recognition accuracy of the target text associated with the target ship.

The application provides a method and device for voice inputting into a webpage text box of an intranet website, to solve the technical problem that reading microphone audio through the webpage of the intranet website and calling voice recognition function are limited. The method comprises the following steps: receiving a voice input instruction of a webpage text box of an intranet website; using a Web Socket protocol, the webpage sends the voice input instruction to a local microphone application program; under the control of the voice input instruction, the local microphone application program collects voice signals; processing the voice signals to generate a character set; and inputting the character set into the webpage text box of the intranet website. In this way, the intranet user can call the voice recognition function and automatically input the voice recognition text into the webpage text box under the condition of intranet communication, so that the voice transcription of the intranet user is more convenient, and the accuracy and completeness of the input text can be effectively improved, and the work efficiency of the intranet user is greatly improved.

Provided are a video processing method, an electronic device and a storage medium. The method includes steps described below. In a process of playing a target video, to-be-converted text in a to-be-processed video frame is determined in response to a triggering operation by a target user on the target video; and the to-be-converted text is converted into translated text of a target language type, and the translated text is presented in a target region in the to-be-processed video frame; where the target region includes a text box region to which the to-be-converted text belongs, or the target region is dynamically determined based on a picture content of the to-be-processed video frame.

1. Name of this design product: Graphical User Interface for Large-Scale Evaluation of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key points: the front view. 5. GUI (Graphical User Interface), omitting the rear view, left view, right view, top view, and bottom view. 6. Purpose of the graphical user interface: To implement various evaluations throughout the lifecycle of a large model. 7. Human-computer interaction method of graphical user interface: Select or enter version information from the "Specific Version" field in the main view, and click "Submit for Review" below to enter interface change state diagram 1. Click "Next" in interface change state diagram 1 to enter interface change state diagram 2. Click "Start Evaluation" in interface change state diagram 2 to enter interface change state diagram 3. Click "Next" in interface change state diagram 3 to enter interface change state diagram 4. Enter the model application service image (group), model ID, and application model packaging description in the text box in interface change state diagram 4, and click "Next Evaluation" in interface change state diagram 4 to enter interface change state. Figure 5, click "Start Timeliness Evaluation" in the interface change state diagram 5, enter the interface change state diagram 6, click "Next" in the interface change state diagram 6, enter the interface change state diagram 7, click "Start Performance Evaluation" in the interface change state diagram 7, enter the interface change state diagram 8, click "Next" in the interface change state diagram 8, enter the interface change state diagram 9, click "Submit Application Experience Evaluation" in the interface change state diagram 9, enter the interface change state diagram 10, click "Generate Report" in the interface change state diagram 10, enter the interface change state diagram 11, click "Next" in the interface change state diagram 11, enter the interface change state diagram 12. 8. Other situations requiring explanation: The upper left corner of the interface is the content screen.

1. The name of the design product: software personal center graphical user interface for 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 indicates the design points: front view. 5. The use of the graphical user interface: the graphical user interface is used for users to view and edit account information. 6. The human-computer interaction mode of the graphical user interface: the front view is the main interface of the personal center, clicking the "log out" option button in the upper right corner of the front view switches the interface to the interface change state diagram 1; selecting the avatar area after clicking the "cancel" option button in the interface change state diagram 1 pop-up window switches the interface to the interface change state diagram 2; clicking the "view large image" option button in the avatar pop-up window of the interface change state diagram 2 with the right mouse button switches the interface to the interface change state diagram 3; clicking the "username" text box after clicking the close icon in the upper right corner of the interface change state diagram 3 pop-up window switches the interface to the interface change state diagram 4; clicking the "save" button on the right side of the interface change state diagram 4 and then clicking the "last 7 days" drop-down menu icon on the right side of the data panel switches the interface to the interface change state diagram 5. 7. Other circumstances that need to be explained: the single gray filled area in the interface is the avatar content.

A data storage method and system based on two-dimensional ID addressing, an electronic device and a medium are related to the technical field of data storage. The method comprises: obtaining data information of to-be-stored data; obtaining target to-be-stored data currently traversed, and finding the node corresponding to the page ID and the text box ID of the target to-be-stored data in the node array; according to the data length of the to-be-stored data, allocating the corresponding target storage space in the data space, and storing the target to-be-stored data into the target storage space; taking the next to-be-stored data as the target to-be-stored data, and executing the step of finding the node corresponding to the page ID and the text box ID of the target to-be-stored data until all to-be-stored data are stored in the corresponding storage space. Through the scheme, the corresponding node is found according to the page ID and the text box ID of the to-be-stored data, and the to-be-stored data is stored in the storage space suitable for the node according to the data length, thereby improving the space utilization.

1. The name of the design product: civil aviation business process diagram graphical user interface of electronic equipment. 2. The use of the design product: for displaying graphical user interface. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The rear view, left view, right view, top view, and bottom view are omitted, and the hardware design part is omitted, which do not involve the design points. 6. The use of the graphical user interface: the front view is the interactive interface for managing the query list; after selecting the record with the "process name" of "check-in-print boarding pass" in the list and clicking "modify" in the operation bar in the front view interface, the interface changes to state diagram 1; in the interface change state diagram 1, click "edit" in the upper right corner to enter the interface change state diagram 2; in the interface change state diagram 2, click the text content in the text box to enter the interface change state diagram 3.

1. Name of the product in this design: Graphical User Interface for Intelligent Recommendation Settings Function of Electronic Device. 2. Purpose of this design: An electronic device. 3. The key design features of this product are: the content of the graphical user interface. 4. Images or photos that best illustrate the design points: Interface change state diagram 3. 5. Other views are omitted as they are standard design. 6. Purpose of the graphical user interface: It is used in the vehicle system to intelligently recommend relevant setting options on the search interface based on user preferences and current environment information, allow users to perform corresponding setting operations, and display information. 7. Human-Computer Interaction Method of Graphical User Interface: The main view is the interface after the vehicle system settings application is opened. Clicking the "AI Search" button in the main view will redirect the interface to the recommended settings interface, as shown in Interface Change State Figure 1. In Interface Change State Figure 1, the user can click the recommended statement to be selected on the interface or enter the search statement in the text box and then click "Search" on the right side of the text box. The interface will redirect to the recommended settings interface, and the AI ​​recommendation reason and usage instructions will pop up, as shown in Interface Change State Figure 2. In Interface Change State Figure 2, the user can click the recommended function button, such as the "Rear Fog Light" button. The interface will redirect to the recommended function activation and button lighting interface, and continue recommending, such as the "Rear Fog Light" button. When the "Lights" button is turned on, the rear fog lights are activated, as shown in Interface Change State Figure 3. In Interface Change State Figure 3, "More Suggestions" is displayed on the right side of the interface. When the user clicks the "Go to Settings" button below "More Suggestions," the interface jumps to the continued recommendation settings interface, which displays the AI ​​recommendation reasons and usage instructions, as shown in Interface Change State Figure 4. In Interface Change State Figure 4, when the user clicks a recommended function button, such as the "Off-Road" button, the interface jumps to the interface where the recommended function is fully enabled and its button is lit up. For example, the "Off-Road" button is lit up, and the off-road function is enabled, as shown in Interface Change State Figure 5. The green blocks in the main view and Interface Change State Figures 1 to 5 are all content screens.

This application provides a method, apparatus, electronic device, and computer-readable storage medium for text detection in images; relating to the fields of artificial intelligence and transportation, the method includes: identifying multiple detection boxes from an image containing text, and obtaining a feature map of each detection box; performing mask segmentation processing based on the feature map of each detection box to obtain a text mask segmentation result; performing text box prediction processing in at least one manner based on the feature map of each detection box to obtain a text box recognition result; and determining the actual text box in the image based on the overlap rate of the text mask segmentation result and the text box recognition result. This application can improve the accuracy of text box recognition in images.

This invention discloses a subtitle extraction method based on video text merging, filtering, and classification. The method includes extracting frames from the video, using optical character recognition (OCR) to identify text within all video frames, obtaining a set of text boxes within the video; merging and filtering the text boxes based on text content, text box coordinates, and text appearance time; and using a machine learning-based subtitle classification model to predict whether each filtered text box is a subtitle, saving the text identified as subtitles and their location information as the subtitle information for the video. This method, by merging and filtering text boxes, can initially filter out most text that does not belong to the subtitle type. By constructing a machine learning subtitle classification model, the text box type can be further determined. This method does not require specifying the subtitle area and can address the problem of variable subtitle positions in existing internet videos.

1. Name of the product in this design: Enterprise-matched graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the content displayed in the graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. The design for which protection is sought includes color. 6. The carrier uses a conventional design, omitting the rear view, top view, bottom view, left view, and right view. 7. Design 1 is designated as the basic design. 8. Purpose of the graphical user interface: The graphical user interface is used to match and edit enterprise data. Click the "Batch Import" button above the table in the main view of Design 1 to enter the Design 1 interface change state diagram 1. After entering information in the text box in the middle of the Design 1 interface change state diagram 1, click the "Import and Match" button in the lower right corner to enter the Design 1 interface change state diagram 2. In the Design 1 interface change state diagram 2, click the first edit button to the right of the company name in the "Import Information" column to enter the Design 1 interface change state diagram 3. Click the "Batch Import" button above the table in the main view of Design 2 to enter the Design 2 interface change state diagram 1. After entering information in the text box in the middle of the Design 2 interface change state diagram 1, click the "Import and Match" button in the lower right corner to enter the Design 2 interface change state diagram 2. In the Design 2 interface change state diagram 2, click the second delete button to the right of the company name in the "Import Information" column to enter the Design 2 interface change state diagram 3.

The invention provides a construction method of a graphical interface library of a single-chip microcomputer, and belongs to the technical field of embedded system development. The method comprises the following steps: creating a page object based on a page-control architecture, wherein the page object comprises background setting and a control linked list; creating a control object based on a double pointer reference mechanism, and inserting a button control and a textbox control into a page object through a linked list structure; dynamic creation and destruction of the control are realized based on linked list node operation, and the control is managed by inserting a node and deleting a node interface through a linear list; graphical interface rendering is achieved based on a page display function, a background is processed firstly, then a control linked list is traversed, and the display function is called; user interaction response is realized based on a touch scanning function, and a button slot function is triggered through anti-shake processing and coordinate judgment. According to the method, a modular design and a linked list management mechanism are adopted, efficient graphical interface management in a single-chip microcomputer environment is achieved, and the method has the advantages of being small in memory occupation, high in rendering efficiency and sensitive in interaction response and is suitable for an embedded system with limited resources.

The invention discloses a method and a system for automatically generating a gluing process card. The method comprises the following steps: acquiring a target view, a preset process card document and a gluing data set corresponding to a target gluing process node; inserting the target view into a target area of the process card document and carrying out size adaptation processing to obtain an adapted image object, the size of the adapted image object and a position coordinate of the adapted image object in the process card document; according to the gluing data set, the size of the adapted image object and the position coordinate of the adapted image object in the process card document, labeling the adapted image object in the process card document to obtain the process card document; wherein the label comprises a gluing line label graph, a gluing line name textbox and a connecting line graph. According to the invention, the gluing process card can be automatically generated, and the production efficiency of the gluing process card and the quality of process documents are improved.

The application discloses a table analysis method, device and equipment and a storage medium. The method comprises the following steps: receiving image data containing a table; extracting the geometric position features of text blocks, the appearance features of cells and the content features of text information from the image data respectively; separating the visual features on the rows and columns from the appearance features; extracting the semantic features from the geometric position features and the content features as the appearance semantic features and the content semantic features; learning the first cooperative block representing the rows and the columns, the second cooperative block representing the cells and the text boxes and the third cooperative block representing the text boxes and the text information according to the visual features, the appearance semantic features and the content semantic features; fusing the first cooperative block, the second cooperative block and the third cooperative block into a collaborative graph code; and identifying the structural information in the table according to the collaborative graph code. The shallow image representation information is combined with the semantic information in the cells, so that the accuracy of identifying the table is improved.