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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 4: AAAI-21 Technical Tracks 4

GIF Thumbnails: Attract More Clicks to Your Videos

February 1, 2023

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Authors

Yi Xu

Fudan University


Fan Bai

Fudan University


Yingxuan Shi

Bilibili


Qiuyu Chen

University of North Carolina at Charlotte


Longwen Gao

Bilibili


Kai Tian

Fudan University


Shuigeng Zhou

Fudan University


Huyang Sun

Bilibili


DOI:

10.1609/aaai.v35i4.16416


Abstract:

With the rapid increase of mobile devices and online media, more and more people prefer posting/viewing videos online. Generally, these videos are presented on video streaming sites with image thumbnails and text titles. While facing huge amounts of videos, a viewer clicks through a certain video with high probability because of its eye-catching thumbnail. However, current video thumbnails are created manually, which is time-consuming and quality-unguaranteed. And static image thumbnails contain very limited information of the corresponding videos, which prevents users from successfully clicking what they really want to view. In this paper, we address a novel problem, namely GIF thumbnail generation, which aims to automatically generate GIF thumbnails for videos and consequently boost their Click-Through-Rate (CTR). Here, a GIF thumbnail is an animated GIF file consisting of multiple segments from the video, containing more information of the target video than a static image thumbnail. To support this study, we build the first GIF thumbnails benchmark dataset that consists of 1070 videos covering a total duration of 69.1 hours, and 5394 corresponding manually-annotated GIFs. To solve this problem, we propose a learning-based automatic GIF thumbnail generation model, which is called Generative Variational Dual-Encoder (GEVADEN). As not relying on any user interaction information (e.g. time-sync comments and real-time view counts), this model is applicable to newly-uploaded/rarely-viewed videos. Experiments on our built dataset show that GEVADEN significantly outperforms several baselines, including video-summarization and highlight-detection based ones. Furthermore, we develop a pilot application of the proposed model on an online video platform with 9814 videos covering 1231 hours, which shows that our model achieves a 37.5% CTR improvement over traditional image thumbnails. This further validates the effectiveness of the proposed model and the promising application prospect of GIF thumbnails.

Topics: AAAI

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HOW TO CITE:

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun GIF Thumbnails: Attract More Clicks to Your Videos Proceedings of the AAAI Conference on Artificial Intelligence (2021) 3074-3082.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun GIF Thumbnails: Attract More Clicks to Your Videos AAAI 2021, 3074-3082.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun (2021). GIF Thumbnails: Attract More Clicks to Your Videos. Proceedings of the AAAI Conference on Artificial Intelligence, 3074-3082.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun. GIF Thumbnails: Attract More Clicks to Your Videos. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.3074-3082.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun. 2021. GIF Thumbnails: Attract More Clicks to Your Videos. "Proceedings of the AAAI Conference on Artificial Intelligence". 3074-3082.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun. (2021) "GIF Thumbnails: Attract More Clicks to Your Videos", Proceedings of the AAAI Conference on Artificial Intelligence, p.3074-3082

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun, "GIF Thumbnails: Attract More Clicks to Your Videos", AAAI, p.3074-3082, 2021.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun. "GIF Thumbnails: Attract More Clicks to Your Videos". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.3074-3082.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun. "GIF Thumbnails: Attract More Clicks to Your Videos". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 3074-3082.

Yi Xu||Fan Bai||Yingxuan Shi||Qiuyu Chen||Longwen Gao||Kai Tian||Shuigeng Zhou||Huyang Sun. GIF Thumbnails: Attract More Clicks to Your Videos. AAAI[Internet]. 2021[cited 2023]; 3074-3082.


ISSN: 2374-3468


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