TY - GEN
T1 - Picture News Collection
T2 - 20th International Conference on Web Information Systems Engineering, WISE 2019
AU - Tang, Yi Kun
AU - Huang, Heyan
AU - Shi, Xuewen
AU - Mao, Xian Ling
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Picture news has become more and more popular among online news in recent years. As the first impression to viewers, thumbnail plays a very important role in picture news. However, it is time consuming to manually select thumbnails for a huge amount of picture news. In this paper, we introduce a new task of automatic picture news thumbnail selection. Given a piece of picture news containing a set of images, this task is to select several appropriate images from the picture news as candidate thumbnails. To this end, we present a large publicly available image dataset for this task, called Picture News Collection(The Picture News Collection 0.1 version can be publicly available online at https://github.com/anonymity01/Picture-News-Collection.). The Picture News Collection contains more than 4 million images of 347,731 picture news from two famous news websites, Sina News and NetEase News. Selecting good enough thumbnails is complicated and needs to consider many aspects, such as attraction, hot topics, content integrity, etc. In order to select appropriate candidate thumbnails, we propose an attention-based thumbnail selection model, and the experimental results comparing with three image classification based baselines show that our proposed methods outperform the baselines. We introduce the automatic picture news thumbnail selection task and the dataset to encourage further studies of this challenge.
AB - Picture news has become more and more popular among online news in recent years. As the first impression to viewers, thumbnail plays a very important role in picture news. However, it is time consuming to manually select thumbnails for a huge amount of picture news. In this paper, we introduce a new task of automatic picture news thumbnail selection. Given a piece of picture news containing a set of images, this task is to select several appropriate images from the picture news as candidate thumbnails. To this end, we present a large publicly available image dataset for this task, called Picture News Collection(The Picture News Collection 0.1 version can be publicly available online at https://github.com/anonymity01/Picture-News-Collection.). The Picture News Collection contains more than 4 million images of 347,731 picture news from two famous news websites, Sina News and NetEase News. Selecting good enough thumbnails is complicated and needs to consider many aspects, such as attraction, hot topics, content integrity, etc. In order to select appropriate candidate thumbnails, we propose an attention-based thumbnail selection model, and the experimental results comparing with three image classification based baselines show that our proposed methods outperform the baselines. We introduce the automatic picture news thumbnail selection task and the dataset to encourage further studies of this challenge.
KW - Automatic picture news thumbnail selection
KW - Image selection
KW - Picture News Collection
UR - https://www.scopus.com/pages/publications/85076976162
U2 - 10.1007/978-3-030-34223-4_29
DO - 10.1007/978-3-030-34223-4_29
M3 - Conference contribution
AN - SCOPUS:85076976162
SN - 9783030342227
T3 - Lecture Notes in Computer Science
SP - 458
EP - 472
BT - Web Information Systems Engineering – WISE 2019 - 20th International Conference, Proceedings
A2 - Cheng, Reynold
A2 - Mamoulis, Nikos
A2 - Sun, Yizhou
A2 - Huang, Xin
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 January 2020 through 22 January 2020
ER -