Complicated scene retrieval using block voting mechanism and weak feature selection based on bag-of-features

Bingrong Wang*, Lei Sun, Jia Su, Takeshi Ikenaga

*この研究の対応する著者

研究成果: Conference contribution

抄録

In this paper, we focus on the problem of complicated scene retrieval and give two proposals to improve accuracy of the recent image search system based on bag-of-features: block voting mechanism and weak feature selection. Both the methods aim to reduce effects of incorrect matching between descriptors. Block voting mechanism separates query and database images into blocks when computing image matching scores. It can be integrated into inverted file for an efficient and compact indexing structure. Weak feature selection provides a simple approach to select good feature points for matching. Experiments performed on a dataset with complicated scene and various transformations including viewpoint and illumination changes show an about 20 percent improvement rather than baseline bag-of-features due to my proposals.

本文言語English
ホスト出版物のタイトルNISS2010 - 4th International Conference on New Trends in Information Science and Service Science
ページ287-292
ページ数6
出版ステータスPublished - 2010 10 15
イベント4th International Conference on New Trends in Information Science and Service Science, NISS2010 - Gyeongju, Korea, Republic of
継続期間: 2010 5 112010 5 13

出版物シリーズ

名前NISS2010 - 4th International Conference on New Trends in Information Science and Service Science

Conference

Conference4th International Conference on New Trends in Information Science and Service Science, NISS2010
国/地域Korea, Republic of
CityGyeongju
Period10/5/1110/5/13

ASJC Scopus subject areas

  • 情報システムおよび情報管理

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