217 results about "Object level" patented technology

A dynamic publishing system for delivery and presentation of multimedia on a wireless device, such as a PDA or mobile telephone. A presentation server dynamically compiles application data based on scene description data for one or more media objects, and sends the application data to the wireless device for presentation of the media objects. The wireless device has a media player that is able to process the application data at an object level for the objects in response to events, and control the presentation. The application data includes content, layout and control logic data for the media objects.

A CORBA Gateway between CORBA-based applications and an enterprise manager may be configurable to manage various networked objects, such as printers, scanners, copiers, telephone systems, cell phones, phone systems, faxes, routers, switches, etc., which may be interconnected via networks. Various embodiments of the CORBA Gateway may include an Event Gateway which manages object events. The CORBA Event Gateway is designed to leverage existing Event Distribution Server (EDS) sinks to provide EDS filtering functionality and EDS object level access control functionality. The approach leverages existing EDS solutions by providing a common sink for all events/notifications and using a unique Event Port Registry to manage the subscriptions of various TMN clients that subscribe for such events/notifications. Generally, the approach described provides the capability to filter events according to criteria presented by client event subscriptions. In one embodiment, the events may be filtered to enforce policy-based access control on TMN events/notifications, determining which CORBA client applications have access to which events. The filtering of events at the sink based upon client subscriptions decreases unnecessary network traffic in that events may be “pushed” to the client, rather than delivered upon client request. In addition, the approach may provide easy-to-use IDL APIs that allow CORBA clients to directly subscribe/unsubscribe to events based on criteria such as object class, object instance, and event type.

The invention provides systems and methods for detection, grading, scoring and tele-screening of cancerous lesions. A complete scheme for automated quantitative analysis and assessment of human and animal tissue images of several types of cancers is presented. Various aspects of the invention are directed to the detection, grading, prediction and staging of prostate cancer on serial sections/slides of prostate core images, or biopsy images. Accordingly, the invention includes a variety of sub-systems, which could be used separately or in conjunction to automatically grade cancerous regions. Each system utilizes a different approach with a different feature set. For instance, in the quantitative analysis, textural-based and morphology-based features may be extracted at image- and (or) object-levels from regions of interest. Additionally, the invention provides sub-systems and methods for accurate detection and mapping of disease in whole slide digitized images by extracting new features through integration of one or more of the above-mentioned classification systems. The invention also addresses the modeling, qualitative analysis and assessment of 3-D histopathology images which assist pathologists in visualization, evaluation and diagnosis of diseased tissue. Moreover, the invention includes systems and methods for the development of a tele-screening system in which the proposed computer-aided diagnosis (CAD) systems. In some embodiments, novel methods for image analysis (including edge detection, color mapping characterization and others) are provided for use prior to feature extraction in the proposed CAD systems.

Methods and systems detect objects of interest in a spatio-temporal signal. According to one embodiment, a system processes a digital spatio-temporal input signal containing zero or more foreground objects of interest superimposed on a background. The system comprises a foreground/background separation module, a foreground object grouping module, an object classification module, and a feedback connection. The foreground/background separation module receives the spatio-temporal input signal as an input and, according to one or more adaptable parameters, produces as outputs foreground/background labels designating elements of the spatio-temporal input signal as either foreground or background. The foreground object grouping module is connected to the foreground/background separation module and identifies groups of selected foreground-labeled elements as foreground objects. The object classification module is connected to the foreground object grouping module and generates object-level information related to the foreground object. The object-level information adapts the one or more adaptable parameters of the foreground/background separation module, via the feedback connection.

Binaural rendering a multi-channel audio signal into a binaural output signal is described. The multi-channel audio signal has a stereo downmix signal into which a plurality of audio signals are downmixed, and side information having a downmix information, as well as object level information of the plurality of audio signals and inter-object cross correlation information. Based on a first rendering prescription, a preliminary binaural signal is computed from the first and second channels of the stereo downmix signal. A decorrelated signal is generated as an perceptual equivalent to a mono downmix of the first and second channels of the stereo downmix signal being, however, decorrelated to the mono downmix. Depending on a second rendering prescription, a corrective binaural signal is computed from the decorrelated signal and the preliminary binaural signal is mixed with the corrective binaural signal to obtain the binaural output signal.

Systems and methods for restoring file system objects from image level backups of servers. The method receives a selection of an image level backup of a source, file system object(s) to be restored, and restoration parameters identifying a destination. The method initializes and attaches a virtual storage to a virtual appliance and an associated hypervisor. The method stores virtual storage data changes resulting from the file system object restoration in changes storage. The method preserves file system object information, wherein the file system object information corresponds to the source operating system (OS) and file system. The method preserves file system object information such as permissions and ownership through business logic that ensures that the file system object information for restored file system object(s) on the destination match file system object information from the source, even when the method operates on a host running a different OS than the source server.

A gateway between client manager applications and an enterprise manager may be provided to manage various networked objects. In one embodiment, CORBA-based TMN manager applications may be communicatively coupled to a CORBA Object Request Broker (ORB) and may be operable to send Interface Definition Language (IDL) requests to, and receive IDL responses and CORBA events from, managed objects through the CORBA ORB. The client manager may first be authenticated to the gateway by username and password, or other validation information associated with the client manager, which may be represented in a user profile. Once the initial client authentication is accomplished, the gateway may provide object-level access control between manager applications and managed objects at an individual object level so that one of the managers is granted access to one of the managed objects while being prevented from interfacing with a different one of the managed objects.

A method for delivering applications over a network where the application's logic runs on the backend server and the application's user interface is rendered on a client-device, according to its display capabilities, thought a network connection with the backend server. The application's GUI API and event processing API are implemented to be network-aware, transmitting application's presentation layer information, event processing registries, and other related information a between client and server. The transmission is a high, object level format, which minimizes network traffic. Client-side events are transmitted to the server for processing via a predetermined protocol, the server treating such events and inputs as if locally generated. The appropriate response to the input is generated and transmitted to the client device using the format to refresh the GUI on the client.

Systems and methods are provided for automated diagnosis and grading of tissue images based on morphometric data extracted from the images by a computer. The morphometric data may include image-level morphometric data such as fractal dimension data, fractal code data, wavelet data, and/or color channel histogram data. The morphometric data may also include object-level morphometric data such as color, structural, and/or textural properties of segmented image objects (e.g., stroma, nuclei, red blood cells, etc.).

A method for Internet performance monitoring and analysis includes, by at least one data collection agent (DCA), a DCA being a computer operating on the Internet and configured with software that is controlled remotely from another location on the Internet, responsive to a request from another location, said request including an indication of a web page, collecting web page object-level data with said at least one DCA; measuring access to web page objects in the web page; and transmitting measured information about the access to the web page back to the location that made the request. The measuring includes one or more of: capturing non-speed based information including errors during download, source of content by IP address, and type of content that an object represents, and parsing and recognizing other objects referenced in a content returned that also need to be retrieved. The measuring utilizes an HTTP protocol to interact with a web server.

A method and system for determining chromatic content of a page of an electronic document. Object level color analysis is performed on a page of the electronic document to determine whether the page is chromatic, achromatic or has highlight color, based on the object level color analysis. The page is then classified as chromatic, achromatic or highlight color, based on the results of the determination.

Methods and apparatus are described for a horizontally scalable high performance object storage architecture. Metadata are completely decoupled from object storage. Instead of file names, users are given a locator when the object is uploaded and committed. Users can store the locator along with their own metadata or embed it directly in the static content. Clients can choose which storage nodes to store data on based on dynamic measures of node performance. Since there is no coupling among storage servers, performance can scale horizontally by adding more nodes. The decoupling also allows the front end services and storage to scale independently. High service availability is achieved by object-level synchronous replication and having no single point of failure. Failed nodes are rebuilt using copies of data in other nodes without taking the cluster offline. In addition to the replication, the ability to add or remove nodes on-line reduces maintenance-related service downtime.

The invention provides an efficient marking method combining laser point cloud and an image. The method comprises: performing initial external parameter automatic calibration through the planar checkerboard target image data and the laser point cloud data; pre-annotation is realized through an automatic segmentation algorithm; image annotation information is further refined in combination with a small amount of manual intervention and calibration; the method comprises the following steps: determining a three-dimensional laser point cloud corresponding to an image marking object in a back projection mode, then obtaining an accurate three-dimensional point cloud of a to-be-marked target in a re-segmentation clustering and growth mode, and finally performing external parameter further optimization through the accurately matched three-dimensional point cloud and the image marking object. According to the efficient marking method combining the laser point cloud and the image, a large amountof manual intervention is not needed, the difficulty of laser point cloud marking is reduced, the marking efficiency is improved, and meanwhile the high marking precision is achieved. Not only can the point-by-point category information of the laser point cloud be obtained, but also novel labeling data such as image and laser point cloud object level joint labeling information can be obtained.

The invention discloses an object-level information excavation system, which comprises a data collection module, a data cleaning module, a content pretreatment module and an object correlation search module, wherein, the data collection module used to collect data comprises a WEB grabber, the data cleaning module used to process structured data comprises a data verification module and a repeat-ridding process module, the content pretreatment module used to pretreat unstructured data comprises a metadata management module and a content analyzer, and the object correlation search module used to analyze the correlation degree of the processed content of the content pretreatment module comprises a correlation degree analyzer. The invention also discloses an object-level information excavation method, which comprises the following steps that: information is collected from web pages; the data cleaning process is carried out to the structured data collected; the content pretreatment operation is carried out to the unstructured data collected; the object correlation search operation is carried out to the content obtained after the pretreatment.

The invention discloses an object-level high-resolution remote sensing image change detection method based on multi-scale fusion. A color texture segmentation algorithm JSEG is introduced to change detection and multi-scale feature extraction and analysis on an object is realized based on a J-image image sequence generated in the segmentation process of the JSEG algorithm. The algorithm makes comprehensive use of the shape, the size and the spectral and texture features of the object, introduces two different multi-scale fusion strategies based on a D-S evidence theory and weighted data fusion and further improves divisibility of changing categories and non-changing categories so as to construct a complete set of object-level change detection frames based on multi-scale fusion. The feasibility and effectiveness of the method are verified by respectively carrying out experiment on a high-resolution aerial remote sensing DOM image and an SPOT5 satellite remote sensing image and comparing detection effects of change detection methods of different object levels and pixel levels.

A process for determining object level profitability includes the steps of (1) preparing information to be accessed electronically, (2) establishing rules for processing the prepared information, (3) calculating at least one marginal value of profit using established rules as applied to a selected set of prepared information, (4) calculating a fully absorbed value of profit adjustment using established rules as applied to the selected set of prepared information, and (5) combining the at least one marginal value of profit and fully absorbed value of profit adjustment to create a measure for object level profitability. The inventive process gives management profit measures tailored to its need for accurate decision oriented profit information required to manage a large organization based on profit measurement.

Object-level replication of cloned objects from a source file system to a target file system in a data storage system maintains relationships between related objects including shared data blocks so that storage requirements in the target file system match storage requirements of the source file system. Specialized processing may be used to scan an indirection object that refers to other file system objects such that objects requiring replication can be identified on an incremental basis based on checkpoint numbers. Checkpoints in the target file system are managed so that checkpoint number requirements for replicated clone objects are enforced in the target file system.

A metadata validation process that allows for deferring object model validation until after the objects are created. The process also allows for multi-threaded processing of the validation rules, thus increasing overall performance. Validation is performed by enforcing a series of validation rules on an appropriate subject. Rules are specified according to the subject that they are validating (i.e., attribute level, association level, object level or collection level). The metadata driven validation process implements several validation types on different validation units. Correctness validation rule types ensure that a validation unit satisfies all semantic rules defined for it. Completeness validation rule types ensure that a validation unit contains all the necessary data and is ready for further use. At design time, only correctness type validation is performed. Thus, the present invention advantageously allows for incomplete objects to be created at design time. The developer, however, in this case may opt to perform completeness validation at any time. In general, a developer may opt to perform completeness and/or correctness validation at any time independent of deployment processing. In another aspect, full validation (e.g., completeness and correctness) is automatically performed on the objects during the process of creating a configuration prior to deployment.

The invention discloses a design technology for an object-level personalized vertical search engine. The basic idea of an algorithm is that: related web pages on the Internet are acquired by an adaptive vertical crawler technology, data is subjected to a series of objectification processing such as semantic analysis, extraction, integration and the like, objectified information on the Internet is acquired, and a personalized object ordering result is returned to each user in a search engine mode. The original page data is highly purified and organized by the search engine designed by the technology through a data mining technology, so that the quality of the data is ensured, and the inclusion of illegal information is controlled to the greatest extent. In addition, by a personalized search recommendation technology, the consumption preference of each user can be accurately determined, and the query intention of each user is understood. The object-level personalized vertical semantic search engine is subjected to integrated innovation on the basis of fully learning and absorbing the advantages of semantic search, object-level search and personalized search technologies, and completely accords with the development direction of a next-generation search engine.