Abstract: A method performed by a first electronic device includes receiving from a second electronic device an indication of an occurrence of one or more trigger conditions for content capture of multimedia content displayed on the first device, starting capture of the multimedia content in response to the trigger condition indication, collecting information from a third device, wherein the information from the third device is response information that is related to the multimedia content displayed on the first device, augmenting the captured multimedia content with the collected information from the third device for simultaneous display, and displaying the augmented multimedia content.

Abstract: A method performed by a first electronic device includes receiving from a second electronic device an indication of an occurrence of one or more trigger conditions for content capture of multimedia content displayed on the first device, starting capture of the multimedia content in response to the trigger condition indication, collecting information from a third device, wherein the information from the third device is response information that is related to the multimedia content displayed on the first device, augmenting the captured multimedia content with the collected information from the third device for simultaneous display, and displaying the augmented multimedia content.

Abstract: A method performed by a viewing device includes receiving a request for an operation to be performed by the viewing device. The request includes trigger criteria for performing the operation. The viewing device receives content from a content provider including content related metadata. A detection is made of a condition that the trigger criteria for the operation to be performed has been met. As a result, the viewing device performs the requested operation. The detection made be accomplished by the viewing device or by a service provider.

Abstract: Event driven information may be analyzed. A plurality of electronic documents may be received. The plurality of electronic documents may represent activity in a plurality of cases. A respective plurality of event identifiers for each case may be generated based on the plurality of electronic documents. For example, each of the respective plurality of event identifiers may be a respective ordered list. And, a visual representation of the activity in the plurality of cases may be generated. The visual representation may be based on an aggregation of the respective plurality of event identifiers. The visualization may include a directional network of connected nodes. For example, each node may represent a respective event identifier and each respective plurality of event identifiers may represent a path in the network.

Abstract: Event processing for suspicious activity detection is disclosed. Financial events can be detected by receiving data from a plurality of detection channels. The data can optionally be enriched by adding additional details about events. An event or group of events is scored based on pre-defined risk factors and experience, and the resulting score can be compared to a pre-defined threshold. A case for investigation is established when the score is above the pre-defined threshold. Events for which the score is below the pre-defined threshold are sampled to provide the experience for the scoring. Events can be scored by obtaining a plurality of predictors, collecting training data regarding existing cases, and running a logistic regression to obtain weights for the predictors. The likelihood of a case for investigation resulting in a suspicious activity report can then be determined.