Abstract: A computer-implemented method according to one embodiment includes performing object detection on a frame to identify a set of objects within the frame, and determining a location of each object of the set of objects within the frame. The method further includes constructing a code tree structure for the frame. The code tree structure defines the determined locations. A rule defining modifications to make to at least some of the objects is received and the code tree structure is crawled. The rule is applied to the objects during the crawling. The method further includes layering the modifications defined in the rule on the set of objects within the frame. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Abstract: A dynamic asset spawning engine is provided in a data processing system for dynamically spawning assets in a video game based on one or more news feeds. The dynamic asset spawning engine semantically tags a library of video game assets with game tag descriptors. The dynamic asset spawning engine parses and processes the one or more news feeds to identify supplemental tag descriptors and spawning parameters for one or more video game assets in the library of video game assets. The dynamic spawning engine assigns the identified supplemental tag descriptors and spawning parameters to the one or more video game assets. The video game spawns the one or more game assets in the video game in accordance with the supplemental tag descriptors and spawning parameters.

Abstract: A dynamic asset spawning engine is provided in a data processing system for dynamically spawning assets in a video game based on one or more news feeds. The dynamic asset spawning engine semantically tags a library of video game assets with game tag descriptors. The dynamic asset spawning engine parses and processes the one or more news feeds to identify supplemental tag descriptors and spawning parameters for one or more video game assets in the library of video game assets. The dynamic spawning engine assigns the identified supplemental tag descriptors and spawning parameters to the one or more video game assets. The video game spawns the one or more game assets in the video game in accordance with the supplemental tag descriptors and spawning parameters.

Abstract: A computer-implemented method for enhancing a video is provided. The method may include generating an annotation matrix comprising extracted video content associated with a video. The method may further include generating a viewer feedback matrix comprising extracted and aggregated viewer feedback, wherein the aggregated viewer feedback comprises a plurality of comments and viewer actions associated with the video, and wherein the plurality of comments appears as text that is located separate from a main window for playing the video. The method may further include generating an overlay matrix by merging the viewer feedback matrix and the annotation matrix. The method may further include generating at least one overlay window for overlaying in the main window of the video at the particular point in time during a playing of the video, wherein the at least one overlay window includes textual information generated from the aggregated viewer feedback.

Abstract: Service deployments of multiple services are grouped together according to common usage history. Services are proposed for a user account where one service of a services group is deployed and another service of the services group is new, or not deployed by the user account. Usage factors specific to a user account a weighted for ranking recommendation of certain services within service groups have at least one deployed service and at least one new service.