Abstract: Systems and methods for dynamically providing customized versions of video content are disclosed. In embodiments, a method comprises: analyzing a video to determine content and context of portions of the video; assigning one or more content editing categories to the portions of the video based on the analyzing; determining an unwanted scene of the video based on the one or more content editing categories and user profile data of a viewer; determining a style component of the unwanted scene based on context of the unwanted scene and the user profile data; generating custom content to replace the unwanted scene of the video based on an acceptable portion of content corresponding to the unwanted scene and the style component; editing the video to replace the unwanted scene of the video with the custom content to produce an edited video including the custom content; and providing the edited video to the viewer.

Abstract: Aspects of the present invention provide devices that subtitle streaming video with audio and identify a speaker in a streaming video with audio according to words spoken by the speaker matched to a cognitive print. The cognitive print includes traits classified according a hierarchical long short term model (LSTM). The hierarchical LSTM includes layers of LSTMs and each layer corresponds to the classification of one trait. A processor annotates a subtitle of the words spoken by the speaker, which decorates the subtitle with a label representative of the identified speaker, and streams the decorated subtitle with the streaming video with audio.

Abstract: Systems and methods for dynamically providing customized versions of video content are disclosed. In embodiments, a method comprises: analyzing a video to determine content and context of portions of the video; assigning one or more content editing categories to the portions of the video based on the analyzing; determining an unwanted scene of the video based on the one or more content editing categories and user profile data of a viewer; determining a style component of the unwanted scene based on context of the unwanted scene and the user profile data; generating custom content to replace the unwanted scene of the video based on an acceptable portion of content corresponding to the unwanted scene and the style component; editing the video to replace the unwanted scene of the video with the custom content to produce an edited video including the custom content; and providing the edited video to the viewer.

Abstract: Aspects of the present invention provide devices that subtitle streaming video with audio and identify a speaker in a streaming video with audio according to words spoken by the speaker matched to a cognitive print. The cognitive print includes traits classified according a hierarchical long short term model (LSTM). The hierarchical LSTM includes layers of LSTMs and each layer corresponds to the classification of one trait. A processor annotates a subtitle of the words spoken by the speaker, which decorates the subtitle with a label representative of the identified speaker, and streams the decorated subtitle with the streaming video with audio.

Abstract: A method, system and computer program product for the contextualized weather summarization for a target event includes the receipt in memory of a computer of a weather report corresponding to a geographical locale corresponding to a particular event and venue for the event and the processing of the received weather report to generate a multiplicity of different contextual summarizations utilizing a pre-established weather grammar. Then, a processor of the computer analyzes each one of the different contextual summarizations to measure a tone ranging from negative to positive. Finally, the processor transmits a most positive measured one of the contextual summarizations over the computer communications network to end users seeking a weather forecast for the geographical locale corresponding to the particular event and venue for the event.