International Business Machines Corporation

Azad Khan

Kapish Kumar

Sheshnarayan Agrawal

Abhinav Radke

Hemlata Bhatt

Gaurav Saxena

Rohit Kumar Pandey

Apoorv Kapse

A video player that can launch a program from the video player while a video relating to the program (for example, a tutorial video) is being played. Also, a video player that can start a video location at a time location that is determined by a program location currently being executed by a computer program being run by the user. In order to do these things, a mapping is maintained between time ranges in the video and program locations to which the time ranges of the video respectively relate.

Video integration using video indexing

A method, computer program product, and a system where a processor(s) monitors communications between one or more clients to a query engine, to identify requests to execute queries on the database resource. Based on identifying a requested query, the processor(s) applies cognitive analysis algorithms to parse components of the requested query, to identify components in the requested query that indicate an execution success measure for the requested query. The processor(s) determines the execution success measure for the requested query and assigns an execution action to the requested query: pre-empting the requested query or executing the requested query. The processor(s) facilitates this action on the requested query.

Machine-learning to alarm or pre-empt query execution

A method, system and computer readable media are provided to generate short video notes (v-notes) from one or more videos. A series of inputs including playback commands from a user is received. By utilizing a machine learning system, the received inputs can be analyzed for video content to identify which portions are of importance. A customized v-note, smaller in size than the one or more videos, may be generated by aggregating the identified portions of video content from the one or more videos, wherein the v-note is customized to the user, based upon received inputs from the user.

Generating video-notes from videos using machine learning

Disclosed aspects relate to automated query modification in a database management system (DBMS). A triggering event related to an execution of a query may be detected by an automated query modification engine. A query modification operation may be determined by the automated query modification engine based on a nature of the triggering event. The query modification operation may be determined to debug the triggering event related to the execution of the query. The query modification operation may be carried-out by the automated query modification engine. The query modification operation may be carried-out to modify the query to debug the triggering event related to the execution of the query.

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Bengaluru, India

Azad Khan