Loop Now Technologies, Inc.

Jeremiah Kevin Tu

Wu-Hsi Li

Jerry Ting Kwan Luk

Edwin Chiu

Hong-Ming Tseng

Ziming Zhuang

Xiaochen Zhang

Techniques for manipulating an expandable video loop with replacement audio are provided. A video that includes a performance by an individual is accessed. One or more processors are used to identify a minimum desired loop within the performance by the individual. Video information is extracted from the video loop and analyzed with machine learning. An audio file is obtained based on a script written by a user. The script is combined with a synthesized voice which is created from the individual video performance to obtain the audio file. The extracted video information is used to manipulate the lips of the individual based on the audio file. A second video loop is created, combining the individual from the first video loop with the video of the manipulated lips of the individual and the synthesized audio file. The second video loop is appended to the end of the first video loop.

Expandable video loop with replacement audio

Disclosed embodiments provide techniques for livestream with synthetic scene insertion. A prerecorded livestream featuring a host is rendered to one or more viewers. An operator accesses a video segment related to the prerecorded livestream. The related video segment includes a performance by an individual. The operator retrieves an image of the host of the prerecorded livestream and creates from the related video segment a synthesized video segment that includes the performance of the individual accomplished by the host. One or more insertion points are determined within the prerecorded livestream for the insertion of the synthesized video segment. The operator inserts the synthesized video segment into the prerecorded livestream at the one or more determined insertion points. The insertion is accomplished dynamically and appears seamless to the viewer. The remainder of the prerecorded video is rendered to the one or more viewers after the insertion point.

Livestream with synthetic scene insertion

Disclosed embodiments describe text-driven AI-assisted short-form video creation. Text from a website is extracted to generate extracted text. Possible summary sentences are formed from the extracted text. The forming is based on natural language processing. The summary sentences are ranked according to an engagement metric. Summary sentences from the possible summary sentences are picked based on a threshold engagement metric value. A list of video scenes is generated based on the summary sentences. Each video scene is associated with a summary sentence. A media asset from a media asset library is chosen for each video scene within the list of video scenes. The choosing is accomplished by machine learning. The list of video scenes, including the media asset that was chosen for each video scene, is compiled into a short-form video. Media is extracted from the website included into the short-form video. The compiling includes a dynamically generated image.

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Sunnyvale, CA, United States of America

Jeremiah Kevin Tu