Multimodal Learning for Image Popularity Prediction on Social Media

被引：0

作者：

Hu, Jiani ^{[1
]}

Yamasaki, Toshihiko ^{[1
]}

Aizawa, Kiyoharu ^{[1
]}

机构：

[1] Univ Tokyo, Dept Informat & Commun Engn, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW) | 2016年

基金：

日本学术振兴会;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Billions of photographs are uploaded to the Internet every day through image sharing services, e.g., Flickr, Instagram, etc. The growing size of these social media poses new challenges in social popularity prediction. In this paper, we try to use a multimodal learning approach which uses both tag feature and visual feature for popularity prediction. We compare several multimodal approaches with unimodal approaches in our experiments and show the results.

引用

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页码：259 / 260

页数：2

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