Abstract: A computer-implemented method includes a step of generating a clipped image by applying a display map to a feedback image of a plurality of display devices that display a set of training frames. The method also includes a step of learning a first set of rules that transform the clipped image to match the set of training frames and a step of generating a rendered surface by applying the display map to an input image. Additionally, the method includes a step of generating a set of render frames by applying the first set of rules to the rendered surface and a step of sending the set of render frames to be displayed by the plurality of display devices.

Abstract: Method and apparatus for monitoring collaboration parameters and maintaining user profiles using cognitive computing techniques are provided. The method includes receiving a domain for a first collaborative session, and retrieving a plurality of trait profiles associated with potential participants. The method further includes determining a subset of trait profiles based in part on comparing each respective trait profile with the rest of the trait profiles, and providing the subset of trait profiles. Additionally, the method includes receiving an indication that the subset of trait profiles is acceptable, and a request to initiate the first collaborative session with participants corresponding to the subset of trait profiles.

Abstract: Methods, systems, and computer program products for automatically creating narrative visualizations from audiovisual content according to pattern detection supported by cognitive computing techniques are provided herein.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.

Abstract: A system, product, and method including automatically performing extraction of slides from multimodal content, performing object extraction from each of the slides, allowing object substitution through semantics and concepts of the objects extracted, processing audio synchronized with the slides enriched with cognitive computing, search engine, and knowledge base, to provide annotations of the slides, processing the audio synchronized with the object being presented in each slide to enhance semantics and understanding, and curating for each step with human-machine interaction to provide a learning process by the system.

Abstract: A system, method and program product for implementing a sketch-based retrieval system. A system is disclosed that includes: an interface having a canvas for entering inputs including user generated strokes, and extracting features associated with the inputs; a hierarchy system for assigning an importance to the inputs; a matching system for retrieving matches from a database based on extracted features and importance associated with the extracted features; a feedback system that provides real-time feedback on the canvas to suggest improved inputs for the user; and a ranking system that ranks retrieved matches for output in the interface by incorporating user interaction history.

Abstract: A method is provided, the method including: displaying an image on a display; detect a user input corresponding to one or more portions of the image; analyzing the user input to determine at least one feature vector corresponding to the user input; and determining a classification for the one or more portions of the image based at least on the at least one feature vector.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.

Abstract: A computer-implemented method includes a step of generating a clipped image by applying a display map to a feedback image of a plurality of display devices that display a set of training frames. The method also includes a step of learning a first set of rules that transform the clipped image to match the set of training frames and a step of generating a rendered surface by applying the display map to an input image. Additionally, the method includes a step of generating a set of render frames by applying the first set of rules to the rendered surface and a step of sending the set of render frames to be displayed by the plurality of display devices.

Abstract: A computer-implemented method includes a step of generating a clipped image by applying a display map to a feedback image of a plurality of display devices that display a set of training frames. The method also includes a step of learning a first set of rules that transform the clipped image to match the set of training frames and a step of generating a rendered surface by applying the display map to an input image. Additionally, the method includes a step of generating a set of render frames by applying the first set of rules to the rendered surface and a step of sending the set of render frames to be displayed by the plurality of display devices.

Abstract: A method for classifying content includes receiving the content; identifying a ratings jurisdiction and regime for the content; accessing a knowledge base for a trained model according to the ratings jurisdiction and regime; classifying the content by testing the content against the trained model; and providing to a user the classification of the content. Optionally, the method includes receiving, from the user, a classification feedback of the content; and updating the trained model responsive to the content and the classification feedback.

Abstract: A method for classifying content includes receiving the content; identifying a ratings jurisdiction and regime for the content; accessing a knowledge base for a trained model according to the ratings jurisdiction and regime; classifying the content by testing the content against the trained model; and providing to a user the classification of the content. Optionally, the method includes receiving, from the user, a classification feedback of the content; and updating the trained model responsive to the content and the classification feedback.

Abstract: A document editor user interface interacts with a user in receiving content from the user and provides suggestions determined via cognitive computing to the user while the user is authoring a document. A search engine searches for information associated with the content and returns the information. A matching candidate template that matches a style of the document being authored is searched for and may be inferred based on the document being authored. The suggestions may be provided based on definitions of the candidate template. A cognitive component may continuously detect behavior of the user while authoring the document and store information associated with the detected behavior. Additional suggestions may be provided based on the detected behavior.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.

Abstract: A infrastructure sensitivity centric weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area, locates infrastructure, e.g. power grid infrastructure, in the area and determines weather effects on infrastructure in each grid cell. A targeted selection module iteratively identifies grid cells for refinement in response to the weather effects on cell infrastructure. In each iteration a refined grid is applied to each grid cell identified as containing infrastructure that may be sensitive, or vulnerable, to expected weather. The forecasting computer refines the area considered to focus on area infrastructure and sensitivities/vulnerabilities to expected weather.

Abstract: A method is provided, the method including: displaying an image on a display; detect a user input corresponding to one or more portions of the image; analyzing the user input to determine at least one feature vector corresponding to the user input; and determining a classification for the one or more portions of the image based at least on the at least one feature vector.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.

Abstract: A infrastructure sensitivity centric weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area, locates infrastructure, e.g. power grid infrastructure, in the area and determines weather effects on infrastructure in each grid cell. A targeted selection module iteratively identifies grid cells for refinement in response to the weather effects on cell infrastructure. In each iteration a refined grid is applied to each grid cell identified as containing infrastructure that may be sensitive, or vulnerable, to expected weather. The forecasting computer refines the area considered to focus on area infrastructure and sensitivities/vulnerabilities to expected weather.