Video retrieval based on tracked features quantization

Hiroaki Kubo, Julien Pilet, Hideo Saito, Shin'ichi Satoh

研究成果: Conference contribution

抄録

In this paper, we present an image retrieval method based on feature tracking. Feature tracks are summarized into a compact discreet value and used for video indexing purpose. As opposed to existing space-time features, we do not make any assumption on the motion visible on the indexed videos. As a result, given an example query, our system is able to retrieve related videos from a large database. We evaluated our system with the copy detection benchmark MUSCLE-VCD-2007. We also ran retrieval experiment on hours of TV broadcast.

本文言語English
ホスト出版物のタイトルProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
ページ3248-3251
ページ数4
DOI
出版ステータスPublished - 2010
イベント2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
継続期間: 2010 8 232010 8 26

出版物シリーズ

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

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period10/8/2310/8/26

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

フィンガープリント 「Video retrieval based on tracked features quantization」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル