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April 1, 20260 citationsOpen Access

Generating Tourist Attraction Introduction Videos Using Image Search and Short Video Analysis

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TFTakeru FujiwaraYWYuanyuan WANGWYWuyi Yue

Key Points

  • The research aims to simplify the process of selecting tourist destinations by generating introduction videos from web-based resources.
  • Utilized image search to find matching tourist spots based on input photos.
  • Collected and labeled short video clips of tourist attractions.
  • Applied cosine similarity to relate input photos with corresponding tourist videos.
  • Generated introduction videos presenting attractions in a more engaging manner.
  • Successfully created engaging introduction videos for various tourist spots.
  • Increased the realism of presenting attractions compared to traditional text and images.
  • Reduced decision-making time for travelers by providing visually rich options.

Abstract

With the resurgence in travel demand post-COVID-19, enhancing access to tourism sites is critical. Web-based information can be complex, making destination selection difficult. This work uses image search to find short videos and related spots to generate tourist attraction introduction videos. It conveys attractions more realistically than text and images. Image search finds tourist spots similar to an input photo, reducing decision time. We collect and label short tourist videos, determine tags for user-input photos, and use cosine similarity to extract relevant spots.

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Cite This Study

Fujiwara et al. (2025) studied this question.

synapsesocial.com/papers/69cd7b475652765b073a9334https://doi.org/10.14990/0002000566
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