5682results about How to "Efficient identification" patented technology

Optimizing operation of a media player during rendering of media files. The invention includes authoring software to create a data structure and to populate the created data structure with obtained metadata. The invention also includes rendering software to retrieve the metadata from the data structure and to identify media files to render. In one embodiment, the invention is operable as part of a compressed media format having a set of small files containing metadata, menus, and playlists in a compiled binary format designed for playback on feature-rich personal computer media players as well as low cost media players.

An object management system is providing for managing, cataloging, and discovering various potentially reusable code and data components that exist within an Information Technology (IT) platform, and which each have well-defined interfaces with other components. For each of these re-usable code and data components, an associated software object called an "asset element" is created that describes the associated component. Relationships are created between various asset elements to represent the relationships existing between the software components. Other software objects called "locator elements" are created that each describes an application concept or sub-concept. This application concept or sub-concept is associated with a problem solved by the code and data components within the IT platform. Relationships are created between the various locator elements to correlate the concepts and sub-concepts to software constructs represented by asset elements. The object management system further supports various object discovery tools capable of identifying locator elements associated with a particular concept. These locator elements and the associated relationships may then be efficiently traced to identify related asset elements and the associated software and code constructs. This provides an efficient concept-based search mechanism for the code constructs. Other tools are provided for creating, modifying, and deleting the elements. A model may be used to define the various types of relationships and elements that may exist within the system, thereby simplifying the various tools needed to support element creation, modification, deletion, and traversal.

Embodiments disclosed herein provide systems and methods for the filtering, selection and presentation of vendors accounting for both user characteristics and vendor characteristics, such that the systems and methods may be used by both customer and vendor alike to better match customer needs with the resource-constrained vendors with whom a successful sale has a higher probability of occurring. Embodiments may include filtering, selecting and / or presenting vendors to a user sorted by the probability that the particular vendor will possess the characteristics that appeal to a particular customer and therefore result in a large probability of sale and suppress presentation of those vendors that are unlikely to be selected by the customer since their characteristics are less consistent with those needed by the customer and, therefore, are unlikely to result in a sale.

A system for monitoring the post-deployment performance of a web-based or other transactional server is disclosed. The monitoring system includes an agent component that monitors the performance of the transactional server as seen from one or more geographic locations and reports the performance data to a reports server and / or centralized database. The performance data may include, for example, transaction response times, server response times, network response times and measured segment delays along network paths. Using the reported performance data, the system provides a breakdown of time involved in completion of a transaction into multiple time components, including a network time and a server time. Users view the transaction breakdown data via a series of customizable reports, which assist the user in determining whether the source of the performance problem. Additional features permit the source to be identified with further granularity.

A system for identifying a work represented by digital data. This system detects events in data of the content of an unknown work and measures a metric between the events. The system then compares the detected events and metrics from an unknown work with the events and metrics of a known work. If the events and metrics match, the unknown work is identified as a copy of the known work.

In whilelist-based authentication, a first device (102) in a system (100) authenticates itself to a second device (103) using a group certificate identifying a range of non-revoked device identifiers, said range encompassing the device identifier of the first device (102). Preferably the device identifiers correspond to leaf nodes in a hierarchically ordered tree, and the group certificate identifies a node (202-207) in the tree representing a subtree in which the leaf nodes correspond to said range. The group certificate can also identify a further node (308, 310, 312) in the subtree which represents a sub-subtree in which the leaf nodes correspond to revoked device identifiers. Alternatively, the device identifiers are selected from a sequentially ordered range, and the group certificate identifies a subrange of the sequentially ordered range, said subrange encompassing the whitelisted device identifiers.

An image sequence is inputted from a camera and vertical motion is estimated. A windowed horizontal edge-projection is extracted from the inputted image sequence and corresponding horizontal edges are projected. The horizontal edge-projection and the vertical motion estimation are combined in a horizontal segmentation and tracking element, and are forwarded to an object parameter estimation element, where the object's distance and height are estimated. This data is combined in a fusion with a radar detection element. By correctly matching the overhead objects sensed by the radar detection element and the video camera, the proximity and relative speed can be ascertained. Once overhead objects have been identified they can be isolated and not considered for collision avoidance purposes.

Methods and systems for sharing white space with primary services and other emerging services are provided. Signal distribution within a specified location, such as a dwelling, is performed using a home gateway that identifies unused white space, reserves such white space spectrum, and delivers data to one or more devices at the respective location using the reserved spectrum. Signalling between the devices and the gateway is performed over a shared signalling channel, which enables the gateway to advise the devices from where and when to receive data. The gateway also uses a common spectrum reservation OFDM symbol to advise the neighboring gateways of the local spectrum reservation.

A clustering architecture that dynamically groups the search result documents into clusters labeled by phrases extracted from the search result snippets. Documents related to the same topic usually share a common vocabulary. The words are first clustered based on their co-occurrences and each cluster forms a potentially interesting topic. Keywords are chosen and then clustered by counting co-occurrences of pairs of keywords. Documents are assigned to relevant topics based on the feature vectors of the clusters.

A targeted advertising system uses a machine learning tool to select an asset for a current user of a user equipment device, for example, to select an ad for delivery to a current user of a digital set top box in a cable network. The machine learning tool first operates in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the machine learning tool processes current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.