VisAug: Facilitating Speech-Rich Web Video Navigation and Engagement with Auto-Generated Visual Augmentations
Baoquan Zhao, Xiaofan Ma, Qianshi Pang, Ruomei Wang, Fan Zhou, Shujin Lin

TL;DR
VisAug is an innovative system that automatically creates visual augmentations from speech content to improve navigation and engagement in speech-rich videos, addressing limitations of existing visual-based summarization methods.
Contribution
The paper introduces VisAug, a novel system that enhances speech-rich video interaction by generating informative visual augmentations from audio content.
Findings
Potential to significantly improve video content engagement
Enhances navigation in speech-rich videos
Addresses limitations of visual-only summarization
Abstract
The widespread adoption of digital technology has ushered in a new era of digital transformation across all aspects of our lives. Online learning, social, and work activities, such as distance education, videoconferencing, interviews, and talks, have led to a dramatic increase in speech-rich video content. In contrast to other video types, such as surveillance footage, which typically contain abundant visual cues, speech-rich videos convey most of their meaningful information through the audio channel. This poses challenges for improving content consumption using existing visual-based video summarization, navigation, and exploration systems. In this paper, we present VisAug, a novel interactive system designed to enhance speech-rich video navigation and engagement by automatically generating informative and expressive visual augmentations based on the speech content of videos. Our…
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