Abstract
ABSTRACT Inefficient data collection methods hamper tourist behavior research. Focusing on Beijing, this paper employs computer-related video techniques to capture and segment tourism videos posted on platforms like YouTube and Bilibili by domestic and foreign tourists visiting Beijing. The keyframes are then subjected to landmark, common object, and scene recognition for a comparative analysis of spatial behavior of tourists. The results are as follows: first, tourists pay more attention to the folk culture in non-habitual environments; second, Chinese and foreign tourists have different tourism preferences and behaviors; and finally, cultural distance has an inhibitory effect on international tourism activities.
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