Discovering visual-concepts of online images from associational image patches

Ya Shin Chian, Wei Guang Teng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationISCE 2011 - 15th IEEE International Symposium on Consumer Electronics
Pages218-221
Number of pages4
DOIs
Publication statusPublished - 2011 Sep 9
Event15th IEEE International Symposium on Consumer Electronics, ISCE 2011 - Singapore, Singapore
Duration: 2011 Jun 142011 Jun 17

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other15th IEEE International Symposium on Consumer Electronics, ISCE 2011
CountrySingapore
CitySingapore
Period11-06-1411-06-17

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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