Visual pattern discovery for architecture image classification and product image search

Wei Ta Chu, Ming Hung Tsai

研究成果: Conference contribution

26 引文 斯高帕斯(Scopus)

摘要

Many objects have repetitive elements, and finding repetitive patterns facilitates object recognition and numerous applications. We devise a representation to describe configurations of repetitive elements. By modeling spatial configurations, visual patterns are more discriminative than local features, and are able to tackle with object scaling, rotation, and deformation. We transfer the pattern discovery problem into finding frequent subgraphs from a graph, and exploit a graph mining algorithm to solve this problem. Visual patterns are then exploited in architecture image classification and product image retrieval, based on the idea that visual pattern can describe elements conveying architecture styles and emblematic motifs of brands. Experimental results show that our pattern discovery approach has promising performance and is superior to the conventional bag-of-words approach.

原文English
主出版物標題Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012
DOIs
出版狀態Published - 2012
事件2nd ACM International Conference on Multimedia Retrieval, ICMR 2012 - Hong Kong, China
持續時間: 2012 六月 52012 六月 8

出版系列

名字Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012

Conference

Conference2nd ACM International Conference on Multimedia Retrieval, ICMR 2012
國家/地區China
城市Hong Kong
期間12-06-0512-06-08

All Science Journal Classification (ASJC) codes

  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別
  • 軟體

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