Microsoft Technology Licensing, LLC

Paul Donnelly Conlin

Justin J Chando

Arnavi Mahendra Chheda

Cassandra Nicole Bub

Cassio Martins Antonio

Ahamad Rifaadh Saif

Megan Christin Buzzas

David Earl Washington

Sophia Siyuan Sun

In an implementation, a software application on a computing device directs the device to extract audio data from a media file comprising the audio data and video data, generate a trim proposal based on analysis of speech in the audio data, and display a visualization of the trim proposal. A user may supply input comprising a selection of at least a portion of the visualization of the trim proposal, in response to which the device trims the media file.

Enhanced trim assistance for video editing environments

In the present disclosure, a collaborative workspace fosters content creation between users in a synchronous and/or asynchronous manner by enabling automatic generation and management of collaborative media objects that automatically combine content from a plurality of users into a single media object. This is extremely beneficial in technical scenarios where users are creating projects, assignments, presentations, etc., by removing the need for users to manually stitch together and combine content to create a final product. For example, the collaborative workspace is adapted for a video discussion application/service, where users create one or more video clips (e.g., video feeds, live video feeds) in response to a posted topic. In at least one instance, a collaborative workspace for a video discussion application/service may be integrated to display within another type of application/service. However, the present disclosure is extensible to work with any type of application/service and any content type.

Collaborative media object generation and presentation in improved collaborative workspace

In the present disclosure, a collaborative workspace fosters content creation between users in a synchronous and/or asynchronous manner by enabling automatic generation and management of collaborative media objects that automatically combine content from a plurality of users into a single media object. To improve processing efficiency and user productivity, the present disclosure further provides processing that applies trained artificial intelligence (AI) processing that is adapted to automatically generate representations of data insights for management of a collaborative media object within the collaborative workspace. Data insights are generated pertaining to feature management of an exemplary application/service (e.g., video discussion application/service) including features for generating and managing a collaborative media object. Signal data associated with users of a collaborative session (e.g., within a collaborative workspace) is detected and analyzed. Contextually relevant data insights are generated, where representations of data insights are provided for rendering through the collaborative workspace (e.g., GUI representation thereof).

Generation and management of data insights to aid collaborative media object generation within a collaborative workspace

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Saint Paul, MN, United States of America

Paul Donnelly Conlin