Discovering visual-concepts of online images from associational image patches

Ya Shin Chian, Wei Guang Teng

研究成果: Conference contribution

摘要

With the advance of networking technologies, the widespread use of handheld devices not only enables instant access of required information but also shortens the distance among acquaintances. Nowadays one can easily share their photos on the Internet right after the photos are taken. With an increasing amount of images, a challenging problem for computer algorithms is to discover the visual-concept embedded within an image. Instead of modeling this problem as a classification process which attempts to categorize images into different pre-defined classes, we propose in this work to start with identifying similar image patches. Specifically, we adopt the technique of mining association rules to construct evident relationships among image patches so as to discover identical visual-concepts from online images.

原文English
主出版物標題ISCE 2011 - 15th IEEE International Symposium on Consumer Electronics
頁面218-221
頁數4
DOIs
出版狀態Published - 2011 九月 9
事件15th IEEE International Symposium on Consumer Electronics, ISCE 2011 - Singapore, Singapore
持續時間: 2011 六月 142011 六月 17

出版系列

名字Proceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other15th IEEE International Symposium on Consumer Electronics, ISCE 2011
國家Singapore
城市Singapore
期間11-06-1411-06-17

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • 引用此

    Chian, Y. S., & Teng, W. G. (2011). Discovering visual-concepts of online images from associational image patches. 於 ISCE 2011 - 15th IEEE International Symposium on Consumer Electronics (頁 218-221). [5973818] (Proceedings of the International Symposium on Consumer Electronics, ISCE). https://doi.org/10.1109/ISCE.2011.5973818