PMID: 15376601Sep 21, 2004Paper

An efficient and effective region-based image retrieval framework

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Feng JingBo Zhang

Abstract

An image retrieval framework that integrates efficient region-based representation in terms of storage and complexity and effective on-line learning capability is proposed. The framework consists of methods for region-based image representation and comparison, indexing using modified inverted files, relevance feedback, and learning region weighting. By exploiting a vector quantization method, both compact and sparse (vector) region-based image representations are achieved. Using the compact representation, an indexing scheme similar to the inverted file technology and an image similarity measure based on Earth Mover's Distance are presented. Moreover, the vector representation facilitates a weighted query point movement algorithm and the compact representation enables a classification-based algorithm for relevance feedback. Based on users' feedback information, a region weighting strategy is also introduced to optimally weight the regions and enable the system to self-improve. Experimental results on a database of 10,000 general-purposed images demonstrate the efficiency and effectiveness of the proposed framework.

References

Feb 6, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·X P Zhang, M D Desai

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Citations

Aug 9, 2011·Information Processing & Management·M M RahmanG R Thoma
Feb 3, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Ruofei Zhang, Zhongfei Mark Zhang
Sep 13, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Dong Xu, Shih-Fu Chang
Oct 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dong XuJiebo Luo
Mar 8, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Wei JiangJinwei Gu
Oct 22, 2005·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Chiou-Ting Hsu, Chuech-Yu Li
Oct 22, 2016·Medical & Biological Engineering & Computing·Shasha YuanQi Wu
Jun 6, 2018·Journal of X-ray Science and Technology·Zhiqiong WangWei Qian

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