Image based search system using hierarchical object category recognition technique

Takuya Minagawa, Hideo Saito

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we present the information search system using object category recognition, which is queried by image from mobile phone camera or from photo sharing service on internet. In such system, processing speed is an important requirement. We adopted "Standard Model" proposed by T. Serre in 2005, and improved processing speed by replacing Gabor filter to Haar wavelet, vector quantization of feature patch, and restriction of calculation area. In addition, by retaining the information of each feature's position, it compensates the accuracy which is a little reduced in exchange of processing speed. We implemented this method to server system, and proved this system can work in practical processing time. Through the experiment for Caltech-101 image database, we confirmed value of this system.

本文言語English
ホスト出版物のタイトルProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
ページ219-222
ページ数4
出版ステータスPublished - 2009 12月 1
イベント11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan
継続期間: 2009 5月 202009 5月 22

出版物シリーズ

名前Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009

Other

Other11th IAPR Conference on Machine Vision Applications, MVA 2009
国/地域Japan
CityYokohama
Period09/5/2009/5/22

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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