AHFE Open AccessAuto-generating Road Trip Vlogs While Safe-driving: a Human-Vehicle-Environment System for Capturing and Editing Scenic Views En Route
Abstract
Road trip vlogs have gradually become popular content for sharing among people. This study introduces an artificial intelligence (AI)-based road trips video editing system, designed with a primary purpose of preventing traffic accidents caused by drivers recording scenic views with smartphones while driving. To enable the dashcam to automatically capture materials of interest, it is crucial to define the starting-ending time and content. Data monitoring around the Human-Vehicle-Environment (HVE) is a critical factor for establishing the capture rules. Guided by audiovisual language theory, the captured video materials are used to support intelligent editing. Furthermore, stylization in editing, including narrative lyrical and documentary style, is another design factor to achieve diversity in videos. Research results demonstrate that the synergy among the HVE elements is a pivotal factor in capturing key visuals. Using AI to complete road trip videos can reduce traffic accident risks and promote the effectiveness of recording scenic views.
Keywords: Human vehicle interaction, Auto video editing, Road trip
DOI: 10.54941/ahfe1005788
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