Patent application number | Description | Published |
20080201195 | SYSTEM AND METOD FOR TRANSFORMING AN ENTERPRISE USING A COMPONENT BUSINESS MODEL - A system and method are described for using a Component Business Model (CBM) to transform a business. A CBM map is used to identify components that collaborate to provide a specified capability, and a repository supporting the CBM map is filtered to provide a view of the identified components that highlights how they collaborate. The view is used to identify component features contributing to the specified capability. The specified capability is then enhanced by a transformation strategy that includes re-engineering particular components, identifying a pattern characterizing the collaboration between components and adding a component to perform the collaborative pattern, and/or adding an additional feature to the collaboration and adding component to perform the additional feature. The CBM repository provides exemplar best practices that can be adapted for use in a re-engineered component. | 08-21-2008 |
20080215398 | SYSTEM AND METHOD FOR USING A COMPONENT BUSINESS MODEL TO MANAGE AN ENTERPRISE - A method and system are described for using the structure and relationships between components in a component business model of an enterprise to assign components providing monitoring data to a management component. In response to the monitoring data, the management component executes a business rule invoking a service that alters a behavior of the enterprise. The management component contains data rules limiting the information provided by the assigned components, analysis rules defining the interaction between components, and report rules for consolidating recommendations for altering behavior of the enterprise, including decisions to invest in certain aspects of the business, to reengineer certain processes of the business, and to alter operation of certain aspects of the business. | 09-04-2008 |
20080221940 | SYSTEM AND METHOD FOR USING THE COMPONENT BUSINESS MODEL TO ANALYZE BUSINESS VALUE DRIVERS - The method and system uses the component business model as a framework for locating business activities. Business value drivers are identified, related in an influence model, and structured into a prioritized driver tree. The driver tree is used to determine the relative contributions of leaf drivers to the overall value of the business. Business activities contributing to the leaf drivers are then identified, and the relative contributions of the leaf drivers are allocated to the business activities and then rolled up to the components for display as a heat map overlay on a component map. | 09-11-2008 |
20090037358 | Computer Program Product and System for Autonomous Classification - An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment. | 02-05-2009 |
20090154806 | TEMPORAL SEGMENT BASED EXTRACTION AND ROBUST MATCHING OF VIDEO FINGERPRINTS - A computer implemented method, apparatus, and computer program product code for temporal, event-based video fingerprinting. In one embodiment, events in video content are detected. The video content comprises a plurality of video frames. An event represents discrete points of interest in the video content. A set of temporal, event-based segments are generated using the events. Each temporal, event-based segment is a segment of the video content covering a set of events. A time series signal is derived from each temporal, event-based segment using temporal tracking of content-based features of a set of frames associated with the each temporal, event-based segment. A temporal segment based fingerprint is extracted based on the time series signal for the each temporal, event-based segment to form a set of temporal segment based fingerprints associated with the video content. | 06-18-2009 |
20090157571 | METHOD AND APPARATUS FOR MODEL-SHARED SUBSPACE BOOSTING FOR MULTI-LABEL CLASSIFICATION - A computer program product includes machine readable instructions for managing data items, the instructions stored on machine readable media, the product including instructions for: initializing a plurality of base models; minimizing a joint loss function to select models from the plurality for a plurality of labels associated with the data items; and at least one of sharing and combining the selected base models to formulate a composite classifier for each label. A computer system and additional computer program product are provided. | 06-18-2009 |
20090327200 | Method and Apparatus for Ontology-Based Classification of Media Content - A method and apparatus for ontology-based classification of media content are provided. With the method and apparatus, initial confidence values of classifiers in a hierarchical classification structure are modified based on relationships between classifiers. A confidence value for a classifier is boosted by a boosting factor based on a correspondence between the confidence value and confidence values of ancestor classifiers in the hierarchical classification structure. A confidence value for a classifier is modified by a confusion factor based on a correspondence between the confidence value of the classifier and the confidence values of mutually exclusive classifiers in the hierarchical classification structure. In this way, a more accurate representation of the actual confidence that media content falls within the classification associated with the classifier is obtained. From this improved classification mechanism, indices for media content may be generated for use in accessing the media content at a later time. | 12-31-2009 |
20110320454 | MULTI-FACET CLASSIFICATION SCHEME FOR CATALOGING OF INFORMATION ARTIFACTS - A system and method for constructing a hierarchical multi-faceted classification structure includes organizing a plurality of visual categories into a multi-relational reference ontology that accounts for a plurality of different types of relationships. Media artifacts are categorized into the plurality of visual categories. The categories of artifacts are refined based on faceted ontology relationships or constraints from the multi-relational reference ontology. The multi-relational reference ontology and the one or more media artifacts with relationships are stored as the hierarchical multi-faceted classification structure in computer readable memory storage. | 12-29-2011 |
20120099785 | USING NEAR-DUPLICATE VIDEO FRAMES TO ANALYZE, CLASSIFY, TRACK, AND VISUALIZE EVOLUTION AND FITNESS OF VIDEOS - A system and method for analyzing video include segmenting video stored in computer readable storage media into keyframes. Near-duplicate keyframes are represented as a sequence of indices. The near-duplicate keyframes are rendered in a graphical representation to determine relationships between video content. | 04-26-2012 |
20120102021 | VISUAL MEME TRACKING FOR SOCIAL MEDIA ANALYSIS - A system and method for analyzing visual memes includes identifying visual memes associated with at least one topic in a data source. The visual memes propagated over time are tracked to extract information associated with identified visual memes. The information associated with the visual memes is analyzed to determine at least one of generation, propagation, and use of the identified memes. | 04-26-2012 |
20120321201 | USING NEAR-DUPLICATE VIDEO FRAMES TO ANALYZE, CLASSIFY, TRACK, AND VISUALIZE EVOLUTION AND FITNESS OF VIDEOS - A system and method for analyzing video include segmenting video stored in computer readable storage media into keyframes. Near-duplicate keyframes are represented as a sequence of indices. The near-duplicate keyframes are rendered in a graphical representation to determine relationships between video content. | 12-20-2012 |
20140085328 | Social Media Event Detection and Content-Based Retrieval - Techniques for detecting an event via social media content. A method includes obtaining multiple images from at least one social media source, extracting at least one visual semantic concept from the multiple images, differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images, and retrieving one or more images associated with the event semantic concept signal for presentation as a visual description of the detected event. | 03-27-2014 |
20140085329 | Social Media Event Detection and Content-Based Retrieval - A system and article of manufacture for social media event detection and content-based retrieval include obtaining multiple images from at least one social media source, extracting at least one visual semantic concept from the multiple images, differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images, and retrieving one or more images associated with the event semantic concept signal for presentation as a visual description of the detected event. | 03-27-2014 |
20140161360 | Techniques for Spatial Semantic Attribute Matching for Location Identification - Techniques for spatial semantic attribute matching on image regions for location identification based on a reference dataset are provided. In one aspect, a method for matching images from heterogeneous sources is provided. The method includes the steps of: (a) parsing the images into different semantic labeled regions; (b) creating a list of potential matches by matching the images based on two or more of the images having same semantic labeled regions; and (c) pruning the list of potential matches created in step (b) by taking into consideration spatial arrangements of the semantic labeled regions in the images. | 06-12-2014 |
20140161362 | Techniques for Spatial Semantic Attribute Matching for Location Identification - Techniques for spatial semantic attribute matching on image regions for location identification based on a reference dataset are provided. In one aspect, a method for matching images from heterogeneous sources is provided. The method includes the steps of: (a) parsing the images into different semantic labeled regions; (b) creating a list of potential matches by matching the images based on two or more of the images having same semantic labeled regions; and (c) pruning the list of potential matches created in step (b) by taking into consideration spatial arrangements of the semantic labeled regions in the images. | 06-12-2014 |
20140205186 | Techniques for Ground-Level Photo Geolocation Using Digital Elevation - Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers. | 07-24-2014 |
20140205189 | Techniques for Ground-Level Photo Geolocation Using Digital Elevation - Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers. | 07-24-2014 |
20140379484 | Visually Generated Consumer Product Presentation - A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting. | 12-25-2014 |
20150055842 | Image Segmentation Techniques - Methods, systems, and articles of manufacture for image segmentation are provided herein. A method includes creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image. | 02-26-2015 |
20150055843 | Image Segmentation Techniques - Systems and articles of manufacture for image segmentation are provided herein, and include creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image. | 02-26-2015 |