用户生成短视频中的视觉目的地图像:基于抖音的探索性研究

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI:10.1109/ICSSSM.2019.8887688

Tian Shao, Rui Wang, Jinxing Hao

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引用次数: 6

摘要

与用户生成的文本和照片相比，很少有研究对用户生成的短视频中显示的视觉目标图像进行研究。本研究利用最新的视频人工智能(AI)技术对用户生成的短视频内容进行标注，提取抖音平台上两个著名景点故宫和八达岭长城的目的地图像，并将用户生成的短视频与文字旅游博客的结果进行对比。我们的研究结果证明了我们提出的基于视频-人工智能的视觉目的地图像提取方法的有效性，也表明短视频和文本旅游博客在揭示目的地图像的不同方式上表现出色。本研究为视觉目的地图像的研究提供了一个有希望的方向。

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Visual destination images in user-generated short videos: An exploratory study on Douyin

Comparing to user-generated texts and photos, seldom research has examined visual destination images revealed in user-generated short videos. With the latest video artificial intelligence (AI) technologies to tag the contents of user-generated short videos, this study extracted destination images of two famous attractions, i.e., the Forbidden City and the Badaling Great Wall on Douyin platform, and compared the results between user-generated short videos and textual travel blogs. Our findings demonstrate the validity of our proposed video-AI based visual destination image extraction method and also suggest that short videos and textual travel blogs excel in different ways to reveal destination images. Our study provides a promising direction to study visual destination images for researchers and practitioners.

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2019 16th International Conference on Service Systems and Service Management (ICSSSM)

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