Improving point of view scene recognition by considering textual data

Volkmar Frinken, Yutaro Iwakiri, Ryosuke Ishida, Kensho Fujisaki, Seiichi Uchida

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

At the current rate of technological advancement and social acceptance thereof, it will not be long before wearable devices will be common that constantly record the field of view of the user. We introduce a new database of image sequences, taken with a first person view camera, of realistic, everyday scenes. As a distinguishing feature, we manually transcribed the scene text of each image. This way, sophisticated OCR algorithms can be simulated that can help in the recognition of the location and the activity. To test this hypothesis, we performed a set of experiments using visual features, textual features, and a combination of both. We demonstrate that, although not very powerful when considered alone, the textual information improves the overall recognition rates.

本文言語英語
ホスト出版物のタイトルProceedings - International Conference on Pattern Recognition
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2966-2971
ページ数6
ISBN(電子版)9781479952083
DOI
出版ステータス出版済み - 12月 4 2014
イベント22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, スウェーデン
継続期間: 8月 24 20148月 28 2014

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

その他

その他22nd International Conference on Pattern Recognition, ICPR 2014
国/地域スウェーデン
CityStockholm
Period8/24/148/28/14

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

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