Using neuro-fuzzy techniques based on a two-stage mapping model for concept-based image database indexing

Chih Fong Tsai, K. McGarry, J. Tait

研究成果: 書貢獻/報告類型會議論文篇章同行評審

5 引文 斯高帕斯(Scopus)

摘要

We present a two-stage mapping model (TSMM), which is intended to minimise the semantic gap for content-based image retrieval (CBIR) by reducing recognition errors during the image indexing stage. This model is composed of a feature extraction module based on our image segmentation and feature extraction algorithm, a colour and texture classification modules based on support vector machines (SVMs), and an inference module based on fuzzy logic to make final decisions as high level concepts from the colour and texture concepts. The experimental results show that the proposed method outperforms general approaches by using one single SVM classifier as direct mapping between the combined colour and texture feature vectors and high level concepts directly.

原文???core.languages.en_GB???
主出版物標題Proceedings - IEEE 5th International Symposium on Multimedia Software Engineering, ISMSE 2003
發行者Institute of Electrical and Electronics Engineers Inc.
頁面6-12
頁數7
ISBN(電子)0769520316, 9780769520315
DOIs
出版狀態已出版 - 2003
事件5th IEEE International Symposium on Multimedia Software Engineering, ISMSE 2003 - Taichung, Taiwan
持續時間: 10 12月 200312 12月 2003

出版系列

名字Proceedings - IEEE 5th International Symposium on Multimedia Software Engineering, ISMSE 2003

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???event.eventtypes.event.conference???5th IEEE International Symposium on Multimedia Software Engineering, ISMSE 2003
國家/地區Taiwan
城市Taichung
期間10/12/0312/12/03

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