Novel multiresolution metrics for content-based image retrieval

Zheng Yun Zhuang, Ming Ouhyoung

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

This paper proposes three new ideas and one revision about image metrics and their applications. Of most importance is the multiresolution `shape metric', which measures distances according to images' content shape information. Accompanied with it is a feature/non-feature image characterization philosophy. The second effort is the modification of an existing `color metric', whose distance computation is dominated by color distribution of images. The third idea is on analyzing image querying behavior of the general public, so as to propose and design a versatile `power metric', which holds the properties of both the `shape metric' and the `color metric', for dealing with various kinds of hand-drawn queries. Finally, after applying the `shape metric' to video shot boundary detection, a multiresolution scene change detection algorithm is proposed. For now, we have implemented these metrics on a personal computer for two applications, one is for image database management with content-based indexing and the other is for video shot boundary detection. Experiments show that the speed and the accuracy of both image retrieval and scene change detection are quite well.
原文英語
主出版物標題Proceedings of the Pacific Conference on Computer Graphics and Applications
編輯 Anon
發行者IEEE Comp Soc
頁面105-114
頁數10
出版狀態已發佈 - 1997
對外發佈Yes
事件Proceedings of the 1997 5th Pacific Conference on Computer Graphics and Applications - Seoul, South Korea
持續時間: 十月 13 1997十月 16 1997

會議

會議Proceedings of the 1997 5th Pacific Conference on Computer Graphics and Applications
城市Seoul, South Korea
期間10/13/9710/16/97

ASJC Scopus subject areas

  • Computer Science(all)

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