Automatic image description by using word-level features

Shingo Horiuchi, Hirotaka Moriguchi, Shinichi Honiden, Shengbo Xu

研究成果: Conference contribution

抄録

Automatic image description is one of the challenging tasks of image recognitions. However, there are image descriptions that contain some too specific phrases that cannot be judged only from appearance of images. In this paper, we propose a novel approach to collect general phrases for generating image descriptions. On the assumption that there are high frequency phrases related to an query image in the image descriptions of similar images, we select nouns and their attribute phrases from the image descriptions of similar images based on their frequency. In order to evaluate the relevance of our image description, we conduct comparative experiments with existing approaches. Our experimental results show that our image descriptions are short, concise and visually relevant to query images.

本文言語English
ホスト出版物のタイトルICIMCS 2013 - Proceedings of the 5th International Conference on Internet Multimedia Computing and Service
ページ309-314
ページ数6
DOI
出版ステータスPublished - 2013
外部発表はい
イベント5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013 - Huangshan, China
継続期間: 2013 8 172013 8 19

出版物シリーズ

名前ACM International Conference Proceeding Series

Other

Other5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013
国/地域China
CityHuangshan
Period13/8/1713/8/19

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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