Micro-video Thumbnail Selection Dataset
收藏arXiv2021-12-30 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2112.14958v1
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资源简介：
Micro-video Thumbnail Selection Dataset是由Bo Liu构建的一个大规模数据集，旨在通过分析用户兴趣来优化微视频缩略图的选择。该数据集从Instagram平台收集了35,148个微视频及其缩略图，通过分析用户评论中的高频词汇来捕捉用户兴趣。数据集的创建过程包括收集高点击量的微视频和提取候选帧，以及通过视觉质量和代表性筛选帧。该数据集主要应用于微视频平台的用户体验优化，通过提高缩略图的吸引力来增加视频的点击率。
The Micro-video Thumbnail Selection Dataset is a large-scale dataset constructed by Bo Liu, which aims to optimize micro-video thumbnail selection by analyzing user interests. This dataset collects 35,148 micro-videos and their corresponding thumbnails from the Instagram platform, and captures user interests by analyzing high-frequency vocabulary in user comments. The dataset construction process includes collecting high-click-through micro-videos, extracting candidate frames, and screening frames based on visual quality and representativeness. This dataset is mainly applied to optimize user experience on micro-video platforms, increasing video click-through rates by improving the attractiveness of thumbnails.
创建时间：
2021-12-30
