A method of monitoring for the presence of an event entity in a monitored region comprising receiving, at a first level of detail, first event data from at least one data processing device of a plurality of data processing devices each configured to monitor at least a portion of a monitored region, the first event data indicative of an event entity occurring in the monitored region; processing the first event data to determine the presence of an event entity indicated by the event data; comparing the identified event entity with a data store defining notification events; and responsive to the identified event entity matching a notification event, outputting a notification relating to the identified event entity.

A method of monitoring for the presence of an event entity in a monitored region comprising receiving, at a first level of detail, first event data from at least one data processing device of a plurality of data processing devices each configured to monitor at least a portion of a monitored region, the first event data indicative of an event entity occurring in the monitored region; processing the first event data to determine the presence of an event entity indicated by the event data; comparing the identified event entity with a data store defining notification events; and responsive to the identified event entity matching a notification event, outputting a notification relating to the identified event entity.

A system and method for aiding a user in troubleshooting a problem includes extracting one or more entities and actions from a problem statement received from a user computing device, wherein, in response to the extracting: mapping, the one or more entities and actions to one or more images related to the one or more entities and actions, and ordering, the one or more entities and actions into a user action sequence, creating a pictorial sequence of user-taken actions to correct the problem, comparing the pictorial sequence of user-taken actions to correct the problem with a correct pictorial sequence to correct the problem, to identify a correct action that the user failed to perform, and isolating a portion of the correct pictorial sequence that corresponds to the correct action that the user failed to perform, for displaying to the user on the user computing system.

An electronic apparatus is provided. The electronic apparatus includes a camera, a storage, and a processor configured to store an image photographed by the camera and metadata of the image in the storage, the processor is further configured to identify whether first information related to the image is obtainable, based on the first information not being obtainable, generate metadata related to the first information based on second information, and store the generated metadata as metadata of the image.

Disclosed is an exemplary method of providing a visual summarization of a plurality of time-stamped annotated images. The method includes receiving the plurality of time-stamped annotated images. The plurality of time-stamped annotated images includes a plurality of object-based annotations. The method includes receiving an object of interest selection (OOI selection) corresponding to at least a first object-based annotation of the plurality of object-based annotations, thereby designating an object of interest (OOI). The method includes filtering the plurality of time-stamped annotated images, based at least in part on the OOI selection, to a subset of the plurality of time-stamped annotated images, thereby creating an object of interest image group (OOI image group). The method includes generating a visual timeline for concurrently displaying the OOI image group.

A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement an intelligent medical image viewing engine. The intelligent medical image viewing engine receives a medical imaging study data structure comprising a plurality of electronic medical images from a medical image database. An image processing component executing within the intelligent medical image viewing engine analyzes the medical imaging study data structure to identify, for each electronic medical image in the plurality of electronic medical images, a corresponding set of image attributes. The intelligent medical image viewing engine receives a user input specifying at least one filter attribute for generating a medical image output and correlates the at least one filter attribute with at least one medical attribute of medical images to be used for selection of electronic medical images from the medical imaging study data structure. An image selection component executing within the intelligent medical image viewing engine selects a subset of the electronic medical images in the plurality of electronic medical images based on the correlation of the at least one filter attribute with the at least one medical attribute. A user interface generation component executing within the intelligent medical image viewing engine generates and outputs a medical image output comprising the subset of electronic medical images based on the selection.

A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement an intelligent medical image viewing engine. The intelligent medical image viewing engine receives a medical imaging study data structure comprising a plurality of electronic medical images from a medical image database. An image processing component executing within the intelligent medical image viewing engine analyzes the medical imaging study data structure to identify, for each electronic medical image in the plurality of electronic medical images, a corresponding set of image attributes. The intelligent medical image viewing engine receives a user input specifying at least one filter attribute for generating a medical image output and correlates the at least one filter attribute with at least one medical attribute of medical images to be used for selection of electronic medical images from the medical imaging study data structure. An image selection component executing within the intelligent medical image viewing engine selects a subset of the electronic medical images in the plurality of electronic medical images based on the correlation of the at least one filter attribute with the at least one medical attribute. A user interface generation component executing within the intelligent medical image viewing engine generates and outputs a medical image output comprising the subset of electronic medical images based on the selection.

A computer implemented method of grouping media objects is provided, as well as systems, interfaces and devices therefor. The method includes generating a group from the media objects based on a combination of a script of sequential events and an actor associated with one or more of the media objects in the script, segmenting the group into segments each including one or more of the media objects, based on clustering or classification, providing titling and captioning for the segments, and generating filter and annotation recommendations based on knowledge associations in the media objects, data, and the combination of the script and the actor, across the media objects of the group.

An information delivery system has a computational device connected over a network with a server and associated storage device. The computational device is configured with functionality that generates a message requesting information relating to a particular geolocation that is stored in association with the server. The server identifies one or more files corresponding to the location information in the message and delivers them to the computational device, which compares information in the files with a visual image relating to an object selected by a computational device user and with an object type relating to the visual image, and displays information in a file if the visual image selected by the user matches visual image information in the file.

An information delivery system has a computational device connected over a network with a server and associated storage device. The computational device is configured with functionality that generates a message requesting information relating to a particular geolocation that is stored in association with the server. The server identifies one or more files corresponding to the location information in the message and delivers them to the computational device, which compares information in the files with a visual image relating to an object selected by a computational device user and with an object type relating to the visual image, and displays information in a file if the visual image selected by the user matches visual image information in the file.