10 results about "Web image" patented technology

The embodiment of the invention discloses a webpage picture loading method and device. The specific implementation mode of the method comprises the steps that a client side responds to a received request for loading a webpage picture, loads a Sprite map from a content distribution network and obtains an index file, and the Sprite map comprises a thumbnail of the webpage picture; querying the coordinate position of the thumbnail in the Sprite map in the index file according to the address of the webpage picture; and obtaining the thumbnail from the Sprite map according to the inquired coordinate position, and rendering the thumbnail. The server is used for generating a thumbnail based on the original picture in the picture resource library; based on the thumbnail, constructing a Sprite map, and generating an index file, the index file comprising an address of the Sprite map and a coordinate position of the thumbnail in the Sprite map; and publishing the Sprite map, the original map and the index file to a content distribution network. According to the embodiment, the abnormal problems of lagging and even unavailability caused by simultaneous display of massive pictures on a webpage are solved based on a Sprite map technology.

The invention relates to the technical field of image recognition, in particular to a printing slip fault diagnosis method and system based on image recognition. The method comprises the following steps: controlling a printer to execute a variable speed test in a no-load and impressing unit contact state, and determining a stress relaxation time constant of a rubber roller based on a theoretical linear speed and an actual surface speed of the rubber roller; collecting a printing breadth image sequence and a main shaft encoder signal, calculating a dense optical flow field of each frame of image, and executing spatial statistical pooling processing on the dense optical flow field to obtain a one-dimensional visual speed signal; and calculating an accumulated phase containing rubber roller lag compensation by utilizing the stress relaxation time constant, and obtaining a phase domain speed signal by utilizing the accumulated phase and the one-dimensional visual speed signal, so as to carry out grading diagnosis and closed-loop feedback control on the printing machine by utilizing the phase domain speed signal. According to the technical scheme, slippage fault diagnosis can be carried out on the printing machine.

Systems, methods, and computer-readable media may provide for contextual alt text generation for web images. A webpage may be parsed to extract images and text. The images may be analyzed to detect representations of persons. Face localization may be performed to detect faces in the representations of the persons. A face embedding for each detected face may be generated to create a set of face embeddings. The text extracted may be analyzed to detect named entities. A name embedding for each detected named entity may be generated to create a set of name embeddings. Bipartite matching may be used to correlate at least part of the set of face embeddings with at least part of the set of name embeddings to create a set of correlation results. Contextualized alt text may be caused to be generated based on the set of correlation results from the bipartite matching.

The invention relates to a webpage generation method and device, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining webpage configuration information and a source picture in response to a user instruction; generating a hypertext markup language (HTML) code containing a picture tag on the basis of a multi-modal model in combination with the webpage configuration information and the source picture; generating a multi-modal context based on the webpage configuration information, the source picture, the picture text description information of the current picture tag, the picture text description information of the preamble picture tag and the generated webpage picture corresponding to the preamble picture tag according to the sequence of each picture tag in the HTML code; generating a webpage picture corresponding to the current picture tag through the multi-modal model and the multi-modal context; and after the webpage pictures corresponding to the picture tags in the HTML codes are obtained, generating a target webpage based on all the generated webpage pictures and the HTML codes. By adopting the method, the webpage generation efficiency is improved.

The invention relates to the technical field of Web image processing, and discloses a video mosaic real-time drawing method based on off-screen Canvas, and the method comprises the steps: detecting a target video frame, and determining a target mosaic region needing to be subjected to mosaic processing, and a position coordinate and a region size corresponding to the region; an off-screen Canvas which is independent of the main Canvas is created; the method comprises the following steps of: scaling an original video frame and rendering the original video frame to an off-screen Canvas, positioning and intercepting a local area which generates a mosaic effect due to scaling on the off-screen Canvas based on a position coordinate and an area size of a target mosaic area, carrying out reverse amplification processing on the local area according to a scaling proportional relation, and drawing the local area to a main Canvas to complete single-frame mosaic superposition; detecting a rendering mode adopted by the current video, and selecting a corresponding rendering strategy according to a detection result; according to the invention, on the premise of ensuring mosaic drawing accuracy and no image distortion, the efficiency of Web end video mosaic real-time processing is remarkably improved.

The invention discloses a multi-modal data fusion all-cotton spunlace machine fault identification method and system, and relates to the technical field of data processing. The method comprises the following steps: collecting a water flow sequence, a motor characteristic sequence and a fiber web image sequence of a plurality of spunlace assemblies of the all-cotton spunlace machine; inputting the fiber web image sequence into a streak identification network group, obtaining a streak defect rate sequence through defect identification and statistical analysis, and further calculating a streak implicit failure rate reflecting a defect change trend; calculating a spunlace implicit anomaly rate based on minimum deviation analysis of the water flow and the motor feature sequence; and converting the spunlace implicit abnormal rate and the streak implicit failure rate into a first equipment failure rate and a second equipment failure rate respectively, and obtaining a comprehensive equipment failure rate as an identification result through weighted fusion. According to the invention, early-stage accurate identification and cross verification of the fault of the all-cotton spunlace machine are realized, the limitation of single signal source analysis is overcome, and the accuracy and timeliness of fault diagnosis are improved.

The application provides a local image rendering system based on a WEB mobile operating system, relates to the technical fields of mobile terminal operating system and Web image processing, and comprises an extended drawing window abstract layer based on a WEB mobile operating system graphic rendering engine, wherein the drawing window abstract layer comprises an image rendering module and a container management module; the image rendering module comprises a drawing initialization module, a drawing window context module and a redrawing module; the container management module comprises a registration container module, a deregistration container module and an event distribution module; the container management module is responsible for managing the state of a drawing application Canvas container window; the image rendering module is responsible for synchronously notifying the drawing application Canvas container window to redraw after a third-party drawing library completes drawing, so as to realize the rendering of local image data. The application can solve the problem of Canvas2D standard interface drawing a large number of pixel data and can improve the local image rendering performance.

The application provides a carding machine image online monitoring system and a monitoring method, comprising a carding machine, an image online monitoring device and a control system, and has the following characteristics: the image online monitoring device comprises a plurality of image acquisition modules, the control system comprises a man-machine interface, an image preprocessing module, an image feature extraction module, a classification and training module, a neps size calculation module and a neps statistics module, and the plurality of image acquisition modules arranged close to the front of the cotton web form an array combination. The cotton web output by the carding machine is synchronously detected by each image acquisition module to realize full-coverage and blind-area-free cotton web image data acquisition. The control system performs image preprocessing, image feature extraction, classification and training, neps size calculation and neps statistics to realize rapid detection and evaluation of the neps in the cotton web. The structure design is reasonable and compact, the failure rate is low, seamless full-coverage detection of the cotton web can be realized, and the reliability, stability, detection accuracy and detection efficiency can be improved.

The application belongs to the technical field of artificial intelligence, and discloses an asset identification method, device, equipment and storage medium; the method comprises the following steps: acquiring a reference icon image of a target enterprise, and expanding the reference icon image to obtain a reference icon image set; extracting reference information features of each reference icon image, matching the reference information features with web features of each web image in a preset web image set to obtain a target image; acquiring a feature vector in the target image, inputting the feature vector into a preset web classification neural network model to obtain a web category; and obtaining assets of the target enterprise according to the web category; the application expands enterprise icons to obtain a more comprehensive enterprise icon set, matches feature values of icons in the enterprise icon set with web icon features in the preset web image set, identifies content in a reference web page that is successfully matched, judges the relationship between the reference web page and the enterprise, and realizes more accurate search and classification of enterprise assets.

This invention provides a webpage generation method based on image recognition. It performs image content recognition on images uploaded by user terminals to determine whether they are valid images, avoiding the reuse of identical images during webpage generation. It also identifies and preprocesses valid images to ensure their image quality and accurate location. Based on the webpage layout information, it determines parameters for shape processing of valid images, thereby transforming them into webpage images that match the webpage layout, improving image-webpage layout compatibility and fully utilizing webpage space. After loading the webpage image into the corresponding page position in the webpage template, it performs visual rendering, ensuring good visual compatibility between the webpage image and the webpage, and improving the display reliability of the webpage.