跳至主導覽 跳至搜尋 跳過主要內容

Movie genre classification based on poster images with deep neural networks

研究成果: Conference contribution

55   連結會在新分頁中開啟 引文 斯高帕斯(Scopus)

摘要

We propose to achieve movie genre classification based only on movie poster images. A deep neural network is constructed to jointly describe visual appearance and object information, and classify a given movie poster image into genres. Because a movie may belong to multiple genres, this is a multi-label image classification problem. To facilitate related studies, we collect a large-scale movie poster dataset, associated with various metadata. Based on this dataset, we fine-tune a pretrained convolutional neural network to extract visual representation, and adopt a state-of-the-art framework to detect objects in posters. Two types of information is then integrated by the proposed neural network. In the evaluation, we show that the proposed method yields encouraging performance, which is much better than previous works.

原文English
主出版物標題MUSA2 2017 - Proceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, co-located with MM 2017
發行者Association for Computing Machinery, Inc
頁面39-45
頁數7
ISBN(電子)9781450355094
DOIs
出版狀態Published - 2017 10月 27
事件1st ACM MM Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, MUSA2 2017 - Mountain View, United States
持續時間: 2017 10月 27 → …

出版系列

名字MUSA2 2017 - Proceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, co-located with MM 2017

Conference

Conference1st ACM MM Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, MUSA2 2017
國家/地區United States
城市Mountain View
期間17-10-27 → …

All Science Journal Classification (ASJC) codes

  • 人機介面
  • 電腦繪圖與電腦輔助設計

指紋

深入研究「Movie genre classification based on poster images with deep neural networks」主題。共同形成了獨特的指紋。

引用此