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Title: Superpixel matching based image retrieval
Authors: He, Z
Sun, X
Li, C 
Baciu, G 
Keywords: Image retrieval
Issue Date: 2017
Publisher: ACM
Source: Proceedings of the International Conference on Video and Image Processing, 2017, p. 156-160 How to cite?
Abstract: Local features of images have been widely used in image retrieval, however, the cost is so heavy. To address this issue, a superpixel-based approach for image retrieval is proposed. We first extract the image structure that preserves the main information and removes the redundant information from the image by smoothing and oversegment a smoothed image into a certain number of superpixels. We then extract the positive candidate superpixels by combining superpixels with local descriptors. Finally, we compute the similarity of two images by analyzing two sets of positive candidate superpixels. Experiments on dataset PQ7 demonstrate the performance of the proposed approach.
Description: ICVIP 2017, International Conference on Video and Image Processing, 2017, Singapore, 27–29 December, 2017
ISBN: 9781450353830
DOI: 10.1145/3177404.3177428
Appears in Collections:Conference Paper

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