118 results about "Classification scheme" patented technology

Data for electronic images is stored in a server. Metadata is assigned to each image file and categorizes each image according to one or more schemes. Possible metadata schemes include image date, one or more image subjects, and image location. The image files may then be searched based on the assigned metadata. Images may be stored in a database that includes at least one virtual folder corresponding to each metadata scheme, with each image having at least one entry in each folder. Each folder may further have subfolders that correspond to sub-categories of a categorization scheme. Each image may then have an entry in each subfolder which describes a part of the image metadata. A date search interface allows a user to select a year of interest, then a month, and then a day. A location search interface allows a user to select a subregion of a displayed region.

Disclosed are methods and apparatus, including computer program products, implementing and using techniques for conversational advertising. Online commentary data representing comments and/or conversation is published on a data network. Relevant commentary data associated with an electronic advertisement can be identified on one or more electronic forums accessible over the data network. The identified commentary data can be filtered according to one or more parameters. The parameters can include, for example: commentary content, conversation volume, a designated timeframe, a topic, a tag, a keyword, an index, a link, a classification scheme, an authority, a relevance measure, a meme, a word, a phrase, and/or a ranking. Advertisement content, such as selected comments and/or metadata, is determined based on the commentary data. The determined advertisement content can be provided over the data network, for instance, as an RSS feed, to the electronic advertisement for incorporation into the electronic advertisement. Further commentary data on one or more electronic forums can similarly be processed to dynamically update and refine the advertisement.

According to one embodiment, a malware classification scheme operating with an electronic device, configured with one or more hardware processors and a memory that stores the software handling the malware classification scheme that is conducted through analysis of behavior-based rules, is described. This malware classification scheme (i) conducts a determination whether a sequence of rules correspond to potential malicious behaviors detected during analysis of a malware sample within one or more virtual machines, and in response to determining that the sequence of rules corresponds to potential malicious behaviors, (ii) conducts an attempt to classify the malware sample to at least one known malware family based on an analysis of the sequence of rules.

The present invention relates generally to a system and method for categorization of strings of words. More specifically, the present invention relates to a system and method for normalizing a string of words for use in a system for categorization of words in a predetermined categorization scheme. A method for adaptive categorization of words in a predetermined categorization scheme may include receiving a string of text, tagging the string of text, and normalizing the string of text. Normalization may be performed with a three-stage algorithm including a literal match processing stage, an approximation match processing stage, and a nearest neighbor match processing stage. The normalized string of text can be compared to a number of sequences of text in the predetermined categorization scheme.

A local area network includes computers and peripherals networked in a high-speed LAN with access to a WAN through a slower connection via a broadband modem. A LAN gateway device manages data traffic between the local computers and peripherals and between the LAN and the WAN. The LAN gateway device provides multiple features, such as wired or wireless links, security, firewall, NAT, DCHP, traffic management, and the like. Traffic management features include an automatic quality of service priority classification scheme. A quality of service module automatically assigns priorities to the data streams based on analysis of the data packets. A configuration access list can be provided with pre-configured priorities for some streams. Initially, all streams are given highest priority and subsequently the priority is automatically adapted to the results of the packet analysis. Traffic shaping techniques control the LAN gateway upstream output and enable IP fragmentation of TCP packets according to measured upstream channel conditions.

An echocardiogram report generation method and system are disclosed for creating a complete medical report describing an echocardiogram without dictation, transcription or typing. The report is tailored to describe an individual patient and generated in complete grammatically complex sentences in response to the user's input with a text report that is complete and understandable for a primary care physician. The method and system provides the user the parallel options of an anatomical structure approach and a disease-specific approach in order to amplify the description of the echocardiogram in specific areas and give a more meaningful report. The echo report generated by the method and system creates a table of measurements and calculations in compact form, omitting any data fields not used. The method and system guides the user through the various areas of the heart which merit comment on the report and provides clear color coded segments of the heart muscle and provides several heart segment classifications so that the user can use his favored classification scheme. Diagnostic possibilities are provided for inclusion in the report conclusions.

The present invention provides a system and method for unrelated tools to categorized elements they control according to a common centrally managed classification scheme. The invention also provides a mechanism for storing, retrieving, and modifying classifying information. Users of unrelated tools that employ the subject invention see a single and consisted user interface.

In a method of 3D object detection, a learning procedure is used for feature selection from a feature set based on an annotated image-volume database, generating a set of selected features. A classifier is built using a classification scheme to distinguish between an object location and a non-object location and using the set of selected features. The classifier is applied at a candidate volume to determine whether the candidate volume contains an object of interest.

The invention provides a method and a device for automatically classifying internet protocol (IP) service data streams in network access equipment. An access control protocol message (such as a dynamic host configuration protocol (DHCP) message) between a user terminal and network resource management equipment is monitored, a service type and network access resource configuration of the user terminal are identified according to the access control protocol message, and the IP data streams of a user are automatically classified. Therefore, a complete service development and service data steam classification scheme can be established in an access network system, so the configuration workload of an operator during service deployment is reduced and the operating flexibility is improved.

An apparatus for and method of adapting a bitstream to which scalable video coding (SVC) technology is applied are provided. The apparatus for adapting a bitstream includes: an Adaptation QoS information extraction unit extracting SVC adaptation operators, and relationships between the SVC adaptation operators and the usage environment information of a terminal from the Adaptation QoS information on the bitstream to which SVC technology is applied; an Adaptation Decision Taking Engine(ADTE) unit determining the SVC adaptation operators corresponding to the usage environment of the terminal receiving the transmitted bitstream among the SVC adaptation operators; and a SVC bitstream extraction unit extracting the bitstream based on the determined SVC adaptation operator. According to the apparatus and method, scalable video can be efficiently provided for changing network environments and multimedia usage environments, through adaptation of scalable video streams using an adaptation operator suggested in Classification Scheme (AQoSJDS).

Systems and methods which provide a joint machine learning and game theory modeling (MLGT) framework for video coding rate control (RC) are described. A machine learning based R-D model classification scheme may be provided to facilitate improved R-D model prediction accuracy and a mixed R-D model based game theory approach may be implemented to facilitate improved RC performance. For example, embodiments may provide inter frame Coding Tree Units (CTUs) level bit allocation and RC optimization in HEVC. Embodiments provide for the CTUs being classified into a plurality of categories, such as by using a support vector machine (SVM) based multi-classification scheme. An iterative solution search method may be implemented for the mixed R-D models based bit allocation method. Embodiments may additionally or alternatively refine the intra frame QP determination and the adaptive bit ratios among frames to facilitate improving the coding quality smoothness.

A system and method of classifying a high powered device (PD) with an increased current limit includes: connecting a voltage to the PD, measuring current through a classification resistor connected to the PD, and determining a PD classification signature based on the current according to classification steps such that a minimum classification step includes a minimum current of 0 mA and a maximum classification step includes a maximum current beyond a predetermined current limit. The system includes a PSE, voltage source, PD classification resistor, and PD voltage, connected to the P. An alternative embodiment further includes a discrete classification circuit and discrete classification resistor to be used to measure the current for classification purposes instead of the PD classification resistor when the PD and PD classification resistor do not support power classification under the classification scheme. The discrete classification circuit and discrete classification resistor can be located on-chip or off-chip.

The invention provides a scheduling method for a pumped storage power station to participate in an electric power system with wind power. First, the installed capacity of the pumped storage power station is classified, schemes are screened to obtain feasible schemes, and current scheduling models for the pumped storage power station to participate in the electric power system with wind power are established according to different feasible schemes; then, the models are solved to obtain operating points of a peak-load regulation unit of the pumped storage power station, unit combination and operating points of a thermal power unit and operating costs and air abandon volumes of the system in different feasible schemes; the air abandon volumes of the electric power system with wind power in all the feasible schemes are compared, and if the air abandon volumes are not consistent, the scheme with the smallest air abandon volume is selected as the optimum scheme; or else, the total positive spinning reserves and the total negative spinning reserves provided by the system in different periods are calculated according to the result, the expected value of electric quantity deficiency of the system is calculated with a Monte Carlo simulation method so as to obtain the power shortage cost, finally, the total costs of all the feasible schemes are compared, and the feasible scheme with the smallest total cost is selected as the optimum classification scheme.