MACHINE LEARNING-BASED PERSONALIZED AUDIO-VIDEO PROGRAM SUMMARIZATION AND ENHANCEMENT

Abstract: a method includes identifying video features and audio features of an audio-video program. the method also includes processing the video features and the audio features using a semantic video cut machine learning model that is trained to (i) segment the audio-video program into multiple scenes and (ii) cluster the scenes based on one or more user preferences. the method further includes generating an audio-video summarization of the audio-video program using a subset of the scenes based on the one or more user preferences.

Inventor(s): Xiangyuan Zhao, Yingnan Zhu, Hong-Hoe Kim

CPC Classification: G06V20/47 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)

Search for rejections for patent application number 20250182483