A string matching approach for visual retrieval and classification

Mei Chen Yeh, Kwang Ting Cheng

研究成果: 書貢獻/報告類型會議論文篇章

19 引文 斯高帕斯(Scopus)

摘要

We present an approach to measuring similarities between visual data based on approximate string matching. In this approach, an image is represented by an ordered list of feature descriptors. We show the extraction of local features sequences from two types of 2-D signals { scene and shape images. The similarity of these two images is then measured by 1) solving a correspondence problem between two ordered sets of features and 2) calculating similarities between matched features and dissimilarities between unmatched features. Our experimental study shows that such a globally ordered and locally unordered representation is more discriminative than a bag-of-features representation and the sim- ilarity measure based on string matching is efiective. We illustrate the application of the proposed approach to scene classification and shape retrieval, and demonstrate superior performance to existing solutions.

原文英語
主出版物標題Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08
頁面52-58
頁數7
DOIs
出版狀態已發佈 - 2008
事件1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08 - Vancouver, BC, 加拿大
持續時間: 2008 八月 302008 八月 31

出版系列

名字Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08

其他

其他1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08
國家/地區加拿大
城市Vancouver, BC
期間2008/08/302008/08/31

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別
  • 資訊系統
  • 軟體

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