Retrieval of 2D vector images by matching weighted feature points

Takahiro Hayashi*, Tatsuya Kiyono, Koji Abe, Rikio Onai

*この研究の対応する著者

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

A novel method for content-based 2D vector image retrieval is proposed in this paper. To retrieve vector images, first, the proposed method extracts WFPs (Weighted Feature Points) from vector images. In this extraction process, the method directly accesses the parameters of Bezier curves defining the shapes of vector images and computes WFPs of the images according to these parameters. Second, to a pair of vector images, the method evaluates similarity by matching WFPs using PTD (Proportional Transfer Distance). In the proposed method, vector images are not rasterized, which enables real-time retrieval. As a prototyping, we have implemented a system for sketch-based vector image retrieval. In the system, a sketch is used as a query. To bridge the representation gap between sketches and vector images in a database, the strokes in sketches are approximated with Bezier curves as a preprocess. Using the system and a database containing 1,120 logomarks, we have confirmed the retrieval performance and have discussed the limits of the proposed method.

本文言語English
ホスト出版物のタイトル2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
ページ961-964
ページ数4
DOI
出版ステータスPublished - 2008
外部発表はい
イベント2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA
継続期間: 2008 10月 122008 10月 15

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CitySan Diego, CA
Period08/10/1208/10/15

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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