416 results about "Image repository" patented technology

A boot process for a computer comprising, in a client environment, a) generating, using a non-volatile data storage medium, a boot image request, b) passing the boot image request to a boot image repository, c) receiving, from the boot image repository, the requested boot image and d) booting the computer using the received boot image, characterised in that e) the boot image request is passed using an Internet Protocol and is sent to a predetermined location.

Collection, access and management of controlled-access digital image data across disparate image data protocols from different sources, for example, clinical-quality and communicative-quality images of all types used in the practice of medicine, is achieved using a digital image collection and library system over a wide area network. The system includes a database connectivity module configured for automatic uploading of image data from image repositories employing data protocols of various types for image data, in association with subject data. A central library system manages distribution and control of collected images to qualified requesters.

A system, for exchanging medical image data between different processing systems, includes a central repository and an interface. The central repository stores configuration information including entity related information and authorization information. The authorization information associates a user with an indicator of authorization to access particular patient medical records. Multiple different processing systems of corresponding different entities use the configuration information to access medical image data repositories of the corresponding different entities and to enable exchange of medical image data between the different entities. The interface receives, from a first processing system of a first entity, a user initiated request to access a medical image repository of a second processing system of a second entity. The interface accesses the central repository in retrieving configuration information. The interface communicates the retrieved configuration information to the first processing system.

In one embodiment, a computer accessible medium comprises instructions which, when executed, check a first storage from which a computer system is configured to boot for a block identified in a read request. The block is included within an image of a set of software resources to be provisioned on the computer system. If the block is stored in the first storage, the instructions supply the block from the first storage in response to the read request. Otherwise, the instructions: fetch the block from an image repository system that stores the image; store the block in the first storage; and supply the block in response to the read request. In another embodiment, the instructions store a block identified in a write request to the first storage. The instructions record that the block is modified in the first storage with respect to the image stored in an image repository system.

An embodiment of the invention discloses a photo sharing method and device. The photo sharing method includes performing clustering according to shooting time of photos in a photo base to obtain at least one photo cluster; based on information (such as shooting places) of photos in the photo clusters, determining a to-be-shared photo cluster from each photo cluster; sharing the to-be-shared photos with users corresponding to people in the to-be-shared photos. In this way, the photos to be shared with friends are automatically recognized from the photo base, without manual one-by-one selection from the photo base; the photos are automatically sent to the friends in the photos, and manual one-by-one selection of the friends from a friend list is omitted. The photo sharing method and device is easy to operate and high in efficiency.

The invention discloses an image searching method, which comprises a training part and a searching part, wherein the training part comprises the following steps of: the extraction of characteristic points, the supplementation of the characteristic points and the determination of matching relationships, the generation of similar point set, the clustering of the characteristic point sets and the generation of characteristic vectors of each image in an image database; and the searching part comprises the following steps of: extracting the characteristic points of a picture to be retrieved and generating the characteristic point sets; calculating distances between each characteristic point descriptor vector and corresponding cluster centers, and determining a cluster where a current characteristic point belongs by using a smallest distance; calculating the frequency ni of each cluster where the characteristic points of the picture to be retrieved belong; based on the frequency ni of the clusters where the characteristic points of the picture to be retrieved belong, and the probability logarithm wi of each cluster, generating and unitizing the characteristic vector; and calculating Euler distances between the characteristic vector of the picture to be retrieved and the characteristic vectors of each image in a picture library, and selecting the image output with the smallest distance as a searching result.

The invention discloses a Docker container building method and a Docker management console. By adding a layer combining instruction into an image building script, combining of multiple image layers can be realized according to the layer combining instruction in the process of Docker image building, so that number of Docker image levels and data size of an image file are reduced, working efficiency is improved, and storage resources are saved. The method includes: acquiring a related application file and an image building script of an application, wherein the image building script contains a layer combining instruction; performing image compiling on the related application file according to the image building script to acquire a Docker image layer; if a current instruction is the layer combining instruction, acquiring an image file of a current image layer in the Docker image layer, and acquiring an image file of a target image layer corresponding to a target image layer identity; acquiring a difference file according to the image file of the current image layer and the image file of the target image layer, and building a layer-combined image layer according to the difference file; submitting the layer-combined image layer to an image repository.

In general, the invention is directed to software image management within a distributed computing system. The distributed computing system includes a plurality of application nodes interconnected via a communications network, and an image repository storing a plurality of pre-generated software image instances. A control node may pre-assign a network address to each of the image instances stored within the image repository, and assigns the network addresses of the image instances to the application nodes upon subsequent deployment of the software images to the application nodes.

A distributed architecture allows for decoupling of mammographic image acquisition and review, thereby enabling more efficient use of resources and enhanced processing. In one embodiment, the system (100) includes a number of image acquisition stations (102) and a number of image review stations (110) all associated with a central server (104). The server (104) is operative to access an image repository (106), a patient information data base (108) and a number of DICOM tools (112). The invention allows for more efficient and / or more convenient use of the image acquisition equipment and image processing stations. Moreover, the distributed architecture including the central image repository provides certain processing and analysis advantages. The invention also provides certain processing and workflow enhancements that allow for a more full realization of potential digital mammography advantages.

The invention discloses an image classification method and device. The method image classification includes: acquiring image quantities in an image library; determining image categories according to the image quantities; classifying the images in the image library according to the image categories. The images in the image library are stored in category according to difference in the image quantities rather than being stored according to singular time sequence, so that convenience is brought to users in searching target images according to the image categories; since the image quantities under each image category are less than the sum of the images in the image library, search efficiency of the images can be improved, and image browsing experience of the users is improved.

The invention discloses a sensitive image search method and device and belongs to the field of image processing. The method includes the steps of extracting a local feature vector set of an image to be searched, generating feature vectors of the image, searching a reverse index of a set sensitive image library according to the feature vectors to acquire all sensitive images related to the image to be searched, calculating the similarity between the image to be searched and all the sensitive images, initially sequencing all the sensitive images according to the similarity, screening all the sensitive images acquired by initial sequencing by using image feature points, and giving an alarm if returned result images are the sensitive images. According to the sensitive image search method and device, search on sensitive images or pictures in video content is achieved by utilizing the image analysis and retrieval technique based on content, a large amount of labor is saved, good real-time performance is achieved, real-time analysis and detection can be achieved during video display, and an alarming signal is sent out immediately once the sensitive images or pictures appear in the video content.

The invention discloses an image retrieval system integrating classification with hash partitioning, which comprises a downloading module, a classification module training module, an image classification module, a characteristic extraction module, a recording table building module, a partitioning module, a request processing module, a retrieval module, a similarity acquiring module and a result returning module. The downloading module is used for downloading images so as to build an image library, the classification model training module classifies the images in the image library according tothe shapes and selects representative sample images from the image library to form a sample library firstly, then extracts characteristic descriptors of the classification bottom layer of all images in the sample library and performs trainings on the characteristic descriptors of the classification bottom layer by a support vector machine so as to obtain discriminant of each classification. Classification models are formed according to the discriminants of all the classifications. Precision ratio of the image retrieval system is increased, the problem of low recall ratio during classificationmistakes is overcome, and the retrieval speed of the image retrieval system is increased integrally.

A boot process for a computer comprising, in a client environment,a) generating, using a non-volatile data storage medium, a boot image request,b) passing the boot image request to a boot image repository,c) receiving, from the boot image repository, the requested boot image andd) booting the computer using the received boot image, characterised in thate) the boot image request is passed using an Internet Protocol and is sent to a predetermined location.

The invention discloses an information recommendation method and system combining image content and keywords. The information recommendation method combining image content and keywords comprises the steps that keyword information of images in an image library and image content information containing color features and textural features are extracted, the keyword information and the image content information are expressed as a vector space model, and a corresponding keyword information matrix and an image content information matrix are obtained; the keyword information matrix and the image content information matrix are processed by utilizing a linear sparse model, and a similarity chart is obtained by calculating the similarity among the images; an image similar to a target image is inquired from the similarity chart according to the target image searched by a user, and an original recommendation list is formed; the original recommendation list is arranged to obtain a final recommendation list, and the final recommendation list is displayed.

The invention discloses a picture retrieval method and apparatus, and belongs to the technical field of computers. The method comprises: obtaining feature information sent by a terminal, wherein the feature information includes at least one of an image feature, a human face feature or a tag feature; retrieving a picture with the matching degree with the feature information, greater than a preset threshold from a picture library, and determining the retrieved picture as a retrieval result; selecting a picture meeting a preset condition as an extended retrieval result from a cluster where the retrieved picture is located, wherein the cluster where the retrieved picture is located is a cluster corresponding to the type of the feature information; and returning the retrieval result and the extended retrieval result to the terminal. According to the picture retrieval method and apparatus, the retrieved picture serves as the retrieval result and the other picture meeting the preset condition in the cluster corresponding to the retrieved picture is selected as the extended retrieval result, so that a result meeting user requirements better can be retrieved and the retrieval accuracy and efficiency are improved.

A distributed architecture allows for decoupling of mammographic image acquisition and review, thereby enabling more efficient use of resources and enhanced processing. In one embodiment, the system (100) includes a number of image acquisition stations (102) and a number of image review stations (110) all associated with a central server (104). The server (104) is operative to access an image repository (106), a patient information data base (108) and a number of DICOM tools (112). The invention allows for more efficient and / or more convenient use of the image acquisition equipment and image processing stations. Moreover, the distributed architecture including the central image repository provides certain processing and analysis advantages. The invention also provides certain processing and workflow enhancements that allow for a more full realization of potential digital mammography advantages.

The invention provides a content-based image search method and device. The method includes: acquiring an image that a user needs to search for; searching for the image, to be searched, in an image library on the basis of image content, thereby obtaining the related images; extracting candidate subject terms from context of the related images; determining confidence coefficient of the candidate subject terms, by fusing statistical characteristics of the candidate subject terms to at least one of property characteristics, structural characteristics, field characteristics and term relation characteristics, and selecting subject terms from the candidate subject terms according to the confidence coefficient; according to conditions of similarity of the selected subject terms to the related images, ranking the related images, including the images in search results, and returning the search results to a user. The content-based image search method and device has the advantages that image search results that users require can be accurately provided, system resources are saved and user experience is improved.

The invention discloses a picture marking method and device. The picture marking method comprises that a picture to be marked is obtained; a tag of the picture to be marked is generated according to a preset identification condition and based on the image feature of the picture to be marked; a picture is determined in a picture gallery, and the similarity between image features of the picture and the picture to be marked is larger than a threshold, and the tag of the picture to be marked is taken as the tag of the picture, and the similarity between image features of the picture and the picture to be marked is larger than the threshold. Through the preset identification condition, the tag of the picture to be marked can be automatically generated according to the image feature of the picture to be marked, the user does not need to participate in the tag generation process, and time of the user can be saved; and the automatically-generated tag can be transmitted to the picture, and the similarity between image features of the picture and the picture to be marked is larger than the threshold, the case that pictures which are similar in image features are individually provided with tags can be avoided, and the efficiency of tag arrangement of a plurality of pictures can be improved.

The invention provides a virtual machine image management system in cloud computing. The system comprises an image repository and an image management platform, wherein a general configuration management module, a source tracking module, a version repository maintenance module and a filter module are arranged in the image management platform; through adoption of a strategy of the virtual machine image file management on the basis of a general configuration management tool, a source tracking mechanism and a version repository maintenance service, the flexibility and the high efficiency of the virtual machine image file management are realized, and the virtual machine image management system has the advantages of being novel in design, favorable in market popularization prospect, convenient for a user to use and good in perception performance and is a good design scheme.

The invention discloses an image retrieval system and an image retrieval method based on FPGA. According to the image retrieval system, a solid state disk is used as an image database, and an image library generating module and an image query module are achieved in the master control FPGA chip of the image retrieval system. The method comprises the steps of inputting an image to be queried by a user, and after extracting the feature information of the image, sorting images according to the matching degrees through performing similarity comparison between the feature information with presort feature in the image library. The innovation of the image retrieval system and the image retrieval method provided by the invention lies in that the solid state disk is used for achieving the establishment of the image library and the measurement of the image similarity, the computational burden of the CPU is reduced, the retrieval process is accelerated, and the timeliness of retrieving in mass image data is improved.

An image organizing system for organizing and retrieving images from an image repository residing on a mobile device is disclosed. The image organizing system includes a mobile computing device including an image repository. The mobile computing device is adapted to produce a small-scale model from an image in the image repository including an indicia of the image from which the small-scale model was produced. In one embodiment the small-scale model is then transmitted from the mobile computing device to a cloud computing platform including recognition software that produces a list of tags describing the image, which are then transmitted back to the mobile computing device. The tags then form an organization system. Alternatively, the image recognition software can reside on the mobile computing device, so that no cloud computing platform is required.

Administering medical digital images including receiving a request for an image processing transaction to process the medical digital image; creating a medical image business object representing the business transaction; storing the medical image business object in the medical image metadata database; storing the medical image in the medical image repository; selecting, in dependence upon workflow selection rules and the attributes of the medical image business object, one or more clinical workflows to process the medical image; processing the medical image of the request with the clinical workflows, thereby creating a resultant business object and resultant medical image; routing the resultant medical image to a destination.

An interactive system for creating, organising, and sharing one's own databank of pictures is disclosed, it being accepted that one may want to build such data based on one's personal interest, by well-defined classifications, using a computer system comprising of; a. (i) a User Interface; (ii). a Database comprising a. a Picture Bank Database; b. a User Database; c. a Configuration Database; (iii) At least one data input, organising and management module(s) allowing a user to input, append, and modify well-classified data (iv) Module allowing a user to invoke a Picture Session; (v) Module allowing a user to Schedule data; (vi) Module allowing the user to Export data from the Database(s); (vii) Module allowing the user to Import data; (viii) Module allowing the user to use the data in the Database as a screen saver.

The invention discloses a method for marking a picture in a file and the method for reproducing the mark of the picture in the file, which belong to the related field of electronic case history informationization. The method for marking the picture in the file comprises the following steps: establishing a picture library table and a picture mark symbol library; selecting the file to be marked after a user logs in a system; calling the picture in the selected file into a drawing mark window by a system; and marking the picture according to a mark symbol and a picture marking position selected by the user; and storing mark parameters as additional attributes of a picture mark object by the system. The method for reproducing the mark of the picture in the file comprises the following steps: selecting the file of which the mark is to be reproduced after the user logs in the system; calling the picture in the selected file into the drawing mark window; transmitting the additive attributes of the picture mark object and the login information of the user to a marked picture dynamically generating type; and reproducing picture mark information. The methods reduce data memory capacitance of the file greatly, and can realize retrieval and analysis on complete text of the picture mark information at the same time.

The invention relates to an automatic online virtual machine software installing method and system. The automatic online virtual machine software installing method comprises the steps that for a Windows system, an installation file, a configuration file and a keyboard and mouse operation script are obtained through automatic online software installation tests, when an automatic software installation task arrives, a start-up running script is generated and the installation file, the start-up running script and / or the keyboard and mouse operation scrip are implanted into a virtual machine image file; for a Linux system, an installation file, a configuration file and a keyboard and mouse operation script for automatic and correct software installation are obtained through a plurality of automatic online software installation tests based on a software package local image repository mode or a script installation mode, and when an automatic software installation task arrives, the installation file and / or a start-up running script and / or the keyboard and mouse operation script are or is implanted into the virtual machine image file; automatic online virtual machine software installation is completed during starting up of a virtual machine. By means of the automatic online virtual machine software installing method and system, large-scale automatic virtual machine software installation can be realized at the beginning of virtual machine starting up.

The invention discloses a pedestrian re-identification method based on unsupervised local measurement learning and reordering. The method comprises the steps that a pedestrian picture is acquired; a query sample is determined, and a training sample set and a picture library are formed; feature extraction is carried out on the acquired pedestrian picture, and features are described as eigenvectors; a corresponding measurement matrix is acquired by learning local measurement for each sample in the query sample and / or picture library; similarity calculation is carried out through the measurement matrix acquired through learning, and initial ranking is carried out according to the similarity magnitude; and initial ranking is optimized through re-ranking to acquire a final ranking result. The method is based on unsupervised local measurement learning, is free of manual sample annotation, and has the advantages of practicality and scalability. Through re-ranking, the matching accuracy is further improved.

The present disclosure relates to a system for provisioning homogeneous servers comprising an image repository coupled to a plurality of servers through an internet protocol (IP) networks wherein the image repository comprises a base virtual disk file. The system may further comprise a logical virtual disk file instance for each of the servers which created a least one change to the base virtual disk file.

The invention relates to a fast image recognition system and method based on perceptual hashing, and belongs to the technical field of image recognition. The fast image recognition system comprises aninput module, a size processing module, a color adjustment module, a DCT module, an equalization module, a reduction module, an acceleration processing module, a perceptual hashing calculation module, a comparison module and an output module. The advantages and the significance of the invention are that after the initial image inputted, the KMEANS algorithm is applied to perform acceleration calculation of the Hamming moment, then processing is performed by using the perceptual hashing algorithm and then comparison with all the image databases is performed so that the problems of time consumption and labor consumption and low efficiency of calculation of the single perceptual hashing algorithm can be solved and a new and more efficient algorithm for similarity search between images can beprovided.