1227 results about "Image storage" patented technology

The invention discloses a cut workpiece defect detection method and system based on image feature feedback, and relates to the technical field of image processing.The method comprises the steps that cut workpiece technological characteristics are obtained, a preset defect type library is constructed, a hardware system is built, and parameters are initialized; synchronously acquiring a multi-view original image, and storing and associating annotation information; de-noising the original image, enhancing the contrast, and extracting a region of interest ROI; extracting texture, shape, edge and gray features from the ROI, and screening through a Relief-F algorithm to obtain an optimal feature subset; inputting into an SVM (Support Vector Machine) model for reasoning, and screening to obtain an effective defect detection result; and calculating an evaluation index and generating a feedback signal, and performing iterative optimization after adjusting parameters. The system comprises an acquisition module, a master control module, a data processing module and a display module. Through the precise design and closed-loop feedback of the whole process, the precision, efficiency and long-term adaptability of defect detection of the complex cutting workpiece are improved, and the industrial quality management and control requirements are met.

A method includes storing at least one image performance score for each of a set of images, the set of images comprising a plurality of subsets of images, each subset corresponding with a different web page of a plurality of web pages, the at least one image performance score for an image indicating a likelihood that a user will interact with the image; determining a web page score for each of the plurality of web pages based on one or more image performance scores of the subset of images that corresponds with the web page; receiving a query comprising one or more keywords or images; selecting a set of web pages by applying a search engine machine learning model to the one or more keywords and the web page score for each of the plurality of web pages; and presenting the set of web pages at a computing device.

In some embodiments, a method for using a custom product as a key for context-based image generation comprises: receiving, by a visualization service of a computer collaboration system, a graphical representation of a custom digital product; determining one or more regions for customizing regions; for a region of the regions: determining a set of phrases that are specific to the custom digital product and a customization process for customizing the custom digital product; based on the set of phrases, generating a synthetic image generation request; transmitting request to an AI based image generator configured to generate synthetic images; causing the AI-based generator to: generate a customized synthetic image based on the request and a repository of images; wherein the customized synthetic image is not a copy of any image from the repository of images; transmit the customized synthetic image to the computer collaboration system; including the image in the region; causing displaying the graphical visualization of the custom digital product along with the customized synthetic image in the region.

An embodiment establishes a product design database based at least in part on product design data received from a product image repository, wherein the product design data is representative of a plurality of product designs. The embodiment ranks each product design based on a ranking metric derived from market data corresponding to existing retail products. The embodiment constructs a product design ranking based on a relative ranking between each of the product designs that have been ranked. The embodiment generates a new product design using a machine learning model based on the plurality of product designs and the product design ranking. The embodiment evaluates whether the new product design satisfies a design constraint. The embodiment, upon an evaluation that the new product design satisfies the design constraint, stores the new product design in the product design database. The embodiment displays the new product design via an interface.

The invention discloses a high-compression-ratio image compression method based on optimal transmission mapping, which is suitable for application scenes such as network transmission, image storage and image transmission, and can remarkably improve the image transmission efficiency and save network bandwidth and storage resources. Compression can be carried out based on generative adversarial learning or a diffusion model, and the generative adversarial learning is utilized by the generative adversarial learning to train an image compression model based on optimal transmission mapping. The model comprises a feature extraction layer, a mapping layer, a quantization coding layer and a decoding reconstruction layer. The mapping layer realizes mapping and optimization of image features through optimal transmission mapping based on convex mapping; an image compression model of the latter comprises a feature extraction layer, a mapping layer, a quantization coding layer and a decoding reconstruction layer, the feature extraction layer is responsible for coding the preprocessed image into low-dimensional feature representation, quantized features are restored into image features through a denoising network of a diffusion model, and the decoding reconstruction layer is responsible for decoding the image. And decoding the image into a high-quality compressed image close to the original image.

The embodiment of the invention relates to the technical field of video detection, in particular to a video behavior recognition method, device and equipment based on multi-mode large model fine tuning. A specific embodiment of the method comprises the steps of obtaining a video behavior recognition data set and an initial video behavior recognition model; for each piece of video behavior identification data, executing the following steps: determining a key frame image corresponding to a video frame sequence included in the video behavior identification data; storing the key frame image to a preset image storage position; based on the label text template, the key frame image, the image storage path and a behavior label included in the video behavior identification data, a training sample is generated, and the training sample comprises a sample image and sample label data; training the initial video behavior recognition model, and determining the initial video behavior recognition model as a video behavior recognition model; and inputting the target video data into the video behavior recognition model to obtain video behavior text information. According to the embodiment, the training duration of the video behavior recognition model can be prolonged.

An apparatus method for leveraging a repository of images containing implant devices in a human body are disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a plurality of sets of historical subject data, classify the plurality of sets of historical subject data into one or more implant cohorts, generate implant training data using the plurality of sets of classified historical subject data in the one or more implant cohorts, train an implant machine-learning model using the implant training data, receive an inquiry datum from a user, wherein the inquiry datum includes current subject data and generate an output datum as a function of the inquiry datum using the trained implant machine-learning model.

The invention discloses a total-space near-far field regulation and control method based on a coherent pixel super-structure surface. The method comprises the following steps: 1) constructing a nano-structure unit and a super-unit; 2) optimizing the structural parameters of the nano-structure unit according to the incident light wavelength lambda, and verifying the regulation and control effects of the super-unit I and the super-unit II; and 3) constructing a nano-structure array, wherein the nano-structure array comprises a plurality of super-units I and super-units II. Left-handed / right-handed circularly polarized light is set to be incident to the surface of the single-layer metastructure, binary nano printing of an image is achieved in a near field, and near-field nano printing intensities in a transmission space and a reflection space are complementary; different holographic patterns are respectively presented in the far-field transflective space, and the far-field transflective channels are regulated and controlled by mutually independent and continuous phases. By properly designing the single-layer nano brick, continuous and independent phase control of reflection and transmission spaces can be realized without additional equipment, far-field holographic imaging and near-field nano printing can be realized, and the single-layer nano brick can be applied to the fields of depth detection, three-dimensional imaging, optical encryption, high-resolution image storage and the like.

Apparatus for identification of abnormal biomedical features within images of biomedical data and methods used therein are described. The apparatus includes an image capture device, a processor connected to the image capture device, a memory connected to the processor, and a display device connected to the processor. The image capture device is configured to capture an image of biomedical data. The memory contains instructions configuring the processor to receive the image, extract a plurality of biomedical features from the biomedical data, receive repository data from a medical repository as a function of the plurality of biomedical features, generate at least a distance metric as a function of the plurality of biomedical features and the repository data, and highlight at least a biomedical feature within the image as a function of the at least a distance metric.

An augmented reality device for obtaining three-dimensional (3D) position information of a plurality of hand joints of a user includes a plurality of cameras configured to photograph the user's hand and obtain images; memory storing instructions; and at least one processor; the instructions, when executed, may cause the device to recognize the plurality of hand joints from the images; obtain two-dimensional (2D) joint coordinate values for feature points corresponding to the hand joints; retrieve, from a look up table (LUT), 3D position coordinate values corresponding to distortion model parameters of the cameras, a positional relationship between the cameras, and the 2D joint coordinate values; and output the 3D position information of the plurality of hand joints based on the 3D position coordinate values.

The invention provides an image transmission system and method, an electronic device and a medium, and the system comprises an image sensor which is configured to operate in a periodic mode and outputs interlaced image data. And the upper computer is used for calculating and issuing descriptors corresponding to the interlaced images transmitted at a time. The data processing device comprises a receiving and analyzing module for receiving each row of interlaced image data output by the image sensor and analyzing to obtain each row of interlaced images; the storage module is used for sequentially writing each row of interlaced images according to the arrival sequence of each row of interlaced images; and the DMA transmission module is used for alternately transmitting the corresponding interlaced image to the positive sequence address corresponding to the memory buffer area of the upper computer every time based on the descriptor corresponding to the interlaced image transmitted for a single time. According to the invention, real-time transmission of image data is realized by using an alternate transmission method, an additional CPU (Central Processing Unit) does not need to be occupied, the stability and the real-time performance are relatively high, and the problem of frame loss does not exist. And meanwhile, the positive sequence splicing of the staggered images is automatically realized, and the image processing efficiency is improved.

Systems and methods include storing, in a first base boot partition, an image of a first base operating system; storing, in a first overlay boot partition, a first overlay file system comprising a first encrypted file; configuring the first overlay boot partition to boot the image of the first base operating system from the first base boot partition and install the first overlay filesystem; and responsive to detecting an attempt to access the first encrypted file, designating the first base boot partition as an active boot partition.

The invention provides a multi-vision fusion mining explosion-proof equipment explosion-proof performance evaluation method, and relates to the technical field of intelligent detection, and the method comprises the steps: 1, obtaining flame images of visible light and infrared light; the method specifically comprises the steps that flame images are captured at the same time through an industrial camera and a thermal imager, the images of the industrial camera are stored as a visible light image sequence, the images of the thermal imager are stored as an infrared image sequence, and a time label is bound with each frame of image; step 2, data processing of visible light and infrared images; step 3, optimizing the single-vision image data; the method specifically comprises the following steps: optimizing the features of a visible light image; a feature optimization step of the infrared image; standardizing the feature representation; step 4, feature level fusion of visible light and infrared vision; comprising a feature matrix construction step and a feature level fusion step. And step 5, quantitative evaluation of the explosion-proof performance is carried out based on the visual features.

Techniques are described with regard to container image configuration in a computing environment. An associated computer-implemented method includes initializing a container image storage engine associated with a logical tree structure having a plurality of container image nodes, where each of the plurality of container image nodes includes a hash layer array and a hash data array. The method includes building at least one new container image node to incorporate into the plurality of container image nodes. The method further includes applying a software patch to a target container image node among the plurality of container image nodes. In an embodiment, the method further includes starting at least one container based upon a respective container image node among the plurality of container image nodes.

The invention discloses a visual management system and visual management method for a concrete pouring site, and the system comprises an image collection subsystem which is used for collecting a video image of the concrete pouring site; the image storage subsystem is used for storing the video images acquired by the image acquisition subsystem; the image analysis subsystem is used for carrying out image analysis on the collected video images and determining the abnormal state of the concrete pouring site; and the alarm subsystem is used for sending out alarm information when the image analysis subsystem determines the abnormal state of the concrete pouring site. According to the scheme, safety accidents on a concrete pouring site are avoided, and it can be guaranteed that the construction quality reaches the standard.

A method of generating a pixel stream from an image comprised of pixels which each have a pixel value. The method comprising storing the image in a memory; determining, for each of successive sub-intervals, that pixel that is to be displayed by a light beam within said sub-interval; for each of successive sequences of one or more successive sub-intervals for which the same pixel has been determined: retrieving the pixel value of said pixel from the memory once and appending the retrieved pixel value N times to the pixel stream. Further disclosed is a projection system using this method.

The invention belongs to the field of space-time big data, and discloses a remote sensing image indexing and storing method based on a Uber H3 hexagonal grid, which comprises the following steps of: 1, for remote sensing images with different resolutions, cutting the remote sensing images by adopting Uber H3 grids with different resolutions; 2, storing the generated remote sensing image slices into different nodes according to a Hash code (consistent hash ring) and a remote sensing image slice storage algorithm; 3, generating a Main Table, a secondary index table and a B + tree while storing the remote sensing image slices; and 4, in combination with the generated Main Table, the secondary index table and the B + tree, selecting a KNN query algorithm, a spatio-temporal range query algorithm and other algorithms according to query requirements to obtain target data. Compared with a Google S2 remote sensing image storage index method based on a quadrilateral grid and a Uber H3-based remote sensing image storage index method without applying hash, a B + tree and a secondary index table, the storage efficiency of BSH3 is better than that of S2 and H3.

The invention discloses a semantic intelligent enhanced DNA storage method for the Internet of Things, and belongs to the crossing field of artificial intelligence and biological information storage, the compression efficiency and robustness of DNA image storage are effectively improved through introduced semantic extraction and a multi-read screening mechanism of design, key information areas in images are extracted through semantic extraction, and the compression efficiency and robustness of DNA image storage are improved. The method has the advantages that redundant backgrounds are eliminated, coding lengths are reduced, high-quality sequences are selected from sequencing copies by the aid of scoring and sequence analysis through a multi-read screening mechanism, fault tolerance is enhanced, the method is applicable to efficient semantic storage in scenes of the internet of things, the problem of low storage efficiency due to excessive redundant information in original images in existing DNA image storage methods is solved, and the method is applicable to high-efficiency semantic storage in scenes of the internet of things. And a high bit error rate exists in the DNA synthesis and sequencing process, so that the image recovery quality is influenced.

An electronic device, including a memory; a display panel; an image sensor disposed at a lower end of the display panel; a processor operatively connected to the image sensor; and a display driver integrated circuit operatively connected to the display panel and the processor, and configured to sense that a first frame is output on the display panel and to transmit a first signal to the processor based on the first frame being output on the display panel, wherein the processor is configured to: generate the first frame having a designated pixel value based on a shoot command being received from a user, control the display panel to output the first frame, and control the image sensor to capture an image based on the first signal being received from the display driver integrated circuit, and store the captured image in the memory.

The invention discloses an anesthesia major perioperative period ultrasonic training platform, which relates to the technical field of medical education, and comprises a management module for information management and updating, a knowledge module for providing course resources and updating, an ultrasonic module for executing image acquisition and analysis, and an image storage module for classifying and storing images and videos. The scene module provides a virtual reality environment for training, the task module distributes tasks and supports a personalized learning mode, and the evaluation module optimizes course content through intelligent evaluation and adjusts a training scheme. The technical problem that theoretical teaching and practical operation are disjointed in the prior art is solved, and the technical effect of improving the training effect and the skill mastering accuracy is achieved by achieving deep fusion of theoretical teaching and practical operation.

To provide a cutting machine capable of easily performing pattern matching of a sheet material.SOLUTION: A cutting machine 1 includes: a photographing unit 10 capable of photographing an image including one pattern matching reference 65 among a plurality of pattern matching references 65 set in a sheet material S for each cutting pattern P for each pattern matching reference 65; a storage unit 40 that stores the image of the photographing unit 10 as a stored image 40p for each pattern matching reference 65; a display unit 30; and a pattern matching reference designation unit 15 that designates at least one of the plurality of pattern matching references 65 for each cutting pattern P. The display unit 30 includes: a captured image display unit 31 that displays a captured image 31p; a thumbnail image display unit 33 that calls the stored image 40p including the pattern matching reference 65 designated by the pattern matching reference designation unit 15 and displays the stored image as a thumbnail; and a selected image display unit 35 that displays a selected image 35p corresponding to the selected thumbnail image 33p out of the thumbnail images 33p together with the captured image 31p.SELECTED DRAWING: Figure 4

Disclosed herein is a display apparatus configured to rotate around a fixed axis. The display apparatus includes: a display configured to rotate around the fixed axis and display an image; and a controller configured to process an original image and control the display to display the original image, wherein the original image is stored in a memory or received through wired or wireless communication. The controller is configured to: obtain an output image by processing a central area including an object in the original image to be suitable for a rotation state of the display and a resolution of the display; and control the display to display the obtained output image.

According to the embodiment of the invention, the invention provides an expression creation method and device, equipment and a storage medium. The method comprises the steps that in response to expression creation operation, a target image input by a user is acquired, and the target image at least comprises the face of a target object; at least one expression image of a first type is acquired, the at least one expression image is generated at least based on the target image by using an image generation model, the at least one expression image corresponds to at least one expression style, and each expression image comprises a change object corresponding to the target object; and storing the at least one expression image in an expression library associated with the user for use in message interaction. Therefore, by means of the image generation capability of the model, the user can customize the expression image by simply providing the target image and obtain the unique expression image of the user.

The invention relates to the technical field of embedded mirror image conversion, and discloses a method for converting an OCI mirror image and an embedded mirror image in an embedded environment, which comprises the following steps of: generating mirror image demand information by acquiring a task execution type and a task execution time period of a running task of each embedded device; according to the task execution idle time period and the current mirror image storage information of the embedded device, considering the sequence of the operation task execution time of the embedded device and the adjustment time of the embedded mirror image, the network condition between the embedded device and the container engine, the adjustment frequency of the embedded mirror image and other factors; carrying out distribution and mirror image adjustment strategy generation on a plurality of embedded device operation tasks in a target time period, and guiding mirror image conversion and task execution between a container engine and each embedded device at different moments in the target time period. The reasonability of switching the OCI mirror image in the container engine into the embedded mirror image and storing the OCI mirror image into the embedded device is improved, and the task execution suitability of the embedded device is ensured.

The invention discloses a focus recognition system and method for a diabetic retinopathy image, and relates to the technical field of medical image processing, and the system comprises a fundus image collection module, an image feature processing module, a focus feature extraction module, a network model training module and a focus model recognition module. By integrating the fundus image collection module, the image feature processing module, the lesion feature extraction module, the network model training module and the lesion model recognition module, full-process automation from original fundus image acquisition to lesion intelligent recognition is realized, and the efficiency of diabetic retinopathy lesion recognition is remarkably improved; in addition, errors possibly caused by manual intervention are reduced, the accuracy and consistency of recognition results are ensured, specifically, the fundus image collection module can automatically obtain images from ophthalmology equipment or a hospital image storage system, format unification and index construction are carried out, and great convenience is provided for follow-up processing.

To shorten an inspection takt time in centralized management of a plurality of inspection lines.SOLUTION: An inspection system includes: a plurality of inspection lines 4 each having a visual contact appearance inspection device 3; a database 5 for storing images captured by the visual contact appearance inspection device 3; and a centralized management device 6 connected to the visual contact appearance inspection device 3 and the database 5, having a display unit 32 for displaying an inspection image of an object to be inspected, and for centrally performing visual inspection of the object to be inspected being transported to each inspection line. While the centralized management device 6 is inspecting the visual inspection image captured by the visual contact appearance inspection device 3 of one inspection line, the visual contact appearance inspection device 3 of another inspection line that has received position data on an inspection required portion of the object to be inspected from the database 5 performs preemptive photographing of the object to be inspected transported on that inspection line under predetermined photographing conditions, stores the preemptive photographed image in the database 5, and displays on the display unit 32 the preemptive photographed image read out from the database 5 by the centralized management device 6 during visual inspection.SELECTED DRAWING: Figure 1

Techniques are described with regard to container image configuration in a computing environment. An associated computer-implemented method includes initializing a container image storage engine associated with a logical tree structure having a plurality of container image nodes, where each of the plurality of container image nodes includes a hash layer array and a hash data array. The method includes building at least one new container image node to incorporate into the plurality of container image nodes. The method further includes applying a software patch to a target container image node among the plurality of container image nodes. In an embodiment, the method further includes starting at least one container based upon a respective container image node among the plurality of container image nodes.

A system includes a camera capturing images in a first field of view of a sports ball bouncing and rolling, a storage arrangement, and a processing arrangement. The storage arrangement includes a three-dimensional 3D model of a part of a sports play area and the processing arrangement is configured to: detect a pixel location of a ball in an image; determine, based on intrinsic and extrinsic calibration parameters, a camera-ball line comprising a straight line passing through the camera in the direction of the sports ball and to determine, based on the 3D model, an intersection point of the camera-ball line with the 3D model. The processor outputs the intersection point as a 3D position of the ball in the image.

An information processing device includes an instruction information acquisition unit configured to acquire instruction information input as voice by a user, a storage control unit configured to, when the acquired instruction information is registration instruction information, cause a storage to store a printed image as a favorite image, and a print control unit configured to, when the acquired instruction information is second print instruction information for instructing to print the favorite image, cause an image forming device to execute printing of the image stored as the favorite image.

An infrared detection camera for the inspection of coated substrates. A corrosion sensing instrument is handheld, portable, battery powered, compact and lightweight. The camera performs nondestructive, real time imaging of corrosion and defects beneath painted metal or plastics or composite surfaces. The device includes a user-friendly computer interface for real time imaging and image storage capability and is typically used for detecting early stage corrosion beneath painted aircraft aluminum surfaces. The handheld device has a front “open air” imaging port which is designed to be placed in soft contact against the painted surface to be inspected by the instrument. The device includes an infrared camera and infrared lighting to capture an image of the surface. The captured image is transferred to a computer and analyzed to locate imperfections below a coating on a surface.