The extraction of image's salient points for image retrieval

Authors:
Wenyin Zhang;Jianguo Tang;Chao Li
Affiliations:
Chengdu University of Information Technology, P.R. China;Chengdu University of Information Technology, P.R. China;Chengdu University of Information Technology, P.R. China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Abstract

A new salient point extraction method from Discrete Cosine Transformation (DCT) compressed domain for content-based image retrieval is proposed in this paper. Using a few significant DCT coefficients, we provide a robust self-adaptive salient point extraction algorithm, and based on salient points, we extract 13 rotation-, translation- and scale-invariant moments as the image shape features for retrieval. Our system reduces the amount of data to be processed and only needs to do partial entropy decoding and partial de-qualification. Therefore, our proposed scheme can accelerate the work of image retrieval. The experimental results also demonstrate it improves performance both in retrieval efficiency and effectiveness.