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1171results about How to "Save memory" patented technology

Method and system for virtual machine online migration

The invention provides a method for virtual machine online migration. The migration priority of a virtual machine is set according to the updating hot degree of an internal storage page and a magnetic disc piece. According to the internal storage page and the magnetic disc piece of the virtual machine needing migration, migration of the virtual machine is conducted according to the sequence of the migration priority from high to low, and data in the virtual machine are copied into a target side until the total quantity of the data needing migration in a virtual machine internal storage and a magnetic disc is smaller than a preset halt threshold value; operation of the virtual machine is paused and the data needing migration in the virtual machine internal storage and the magnetic disc are copied into the target side at a time. According to the method, useless migration data generated in the process of online migration of the virtual machine can be reduced, so that resources of a network bandwidth, a host machine CPU, the internal storage and the like are saved, virtual machine online migration which cannot be accomplished or is difficult to accomplish in a reasonable time can be found in time, a user or a manager can take corresponding measures, and therefore the user efficiency of the resources and the quality of a cloud service on the cloud computing environment are improved.
Owner:INST OF COMPUTING TECH CHINESE ACAD OF SCI

A real time panorama video splicing method based on ORB characteristics and an apparatus

The invention discloses a real time panorama video splicing method based on ORB characteristics. The real time panorama video splicing method based on the ORB characteristics comprises the following steps: acquisition of multipath synchronized video data is started; pretreatment is carried out on images in various paths at a same moment, and color images are changed into gray scale images of 256 levels, and a de-noising processing is carried out on the images through employing a Gaussian filter; the ORB feature extraction algorithm is employed to carry out feature point extraction on the images in the various paths at the same moment, and ORB characteristic vectors of the feature points are calculated; through the adoption of the nearest neighborhood matching method and the RANSAC (random sample consensus) matching method to determine a homography matrix array between corresponding frames of the synchronized videos; frame scene splicing is carried out according to the homography matrix array; and finally spliced videos are output. The real time panorama video splicing method based on ORB characteristics and the apparatus are advantageous in that: the feature extraction speed and the coupling effect are improved in the image splicing process.
Owner:CENT SOUTH UNIV

Round Mark point positioning method based on connected region filtering

A round Mark point positioning method based on connected region filtering relates to positioning methods. The round Mark point positioning method based on the connected region filtering mainly solves the problem that traditional round Mark point positioning methods are complex in positioning algorithm, high in computer memory requirements, low in detecting time, low in detecting accuracy and prone to being affected by external environments to lead to template matching failure, meanwhile, have high Mark process requirements and cannot meet the detecting accuracy requirements for deformed round Mark points. The method comprises firstly, calculating the ROI (region of interest) of a target Mark point; secondly, obtaining the edge of the target point; thirdly, obtaining a binary ROI image; fourthly, retaining the ROI connected region with the maximum area; fifthly, retaining the ROI background connected region with the maximum area; sixthly, designing a noise filter; seventhly, obtaining filtering Canny edge points; eighthly, obtaining the minimum enclosing rectangle; ninthly, removing Canny edge defects; lastly, obtaining the central and radial parameters of the round Mark point. The round Mark point positioning method based on the connected region filtering is applied to the field of positioning methods.
Owner:宁波智能装备研究院有限公司

Hyperspectral image sparse unmixing method based on random projection

A hyperspectral image sparse unmixing method based on random projection includes the following four main steps: (1) data are read by a computer under the environment of MATLAB R2008b; (2) the hyperspectral image data and the hyperspectral library data are randomly projected by the computer; (3) a target function for sparse unmixing is constructed, and the split Bregman algorithm is used for optimizing the target function and working out an extremum until reaching convergence and stopping conditions; (4) an appropriate threshold value is set to process a abundance fraction matrix, so that a final abundance fraction graph and end members can be obtained. The hyperspectral image sparse unmixing method based on random projection utilizes a hyperspectral database to choose the end members, and overcomes the defect that the end members worked out by the conventional algorithm cannot strictly correspond to the spectra of pure materials in the standard hyperspectral database; and moreover, the hyperspectral image sparse unmixing method based on random projection uses the random projection technology to carry out dimensionality reduction on raw data, thus achieving the effects of saving memories and reducing the calculation load. The hyperspectral image sparse unmixing method based on random projection realizes rapid quantitative analysis on hyperspectral images, and has practical value and a broad application prospect in the field of hyperspectral remote sensing image analysis.
Owner:BEIHANG UNIV
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