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A Global-Local Approach to Extracting Deformable Fashion Items from Web Images Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Scale and Topology Preserving SIFT Feature Hashing

Authors : Chen Kang, Li Zhu, Xueming Qian

Published in: Advances in Multimedia Information Processing - PCM 2016

Publisher: Springer International Publishing

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Abstract

In recent years, content based image retrieval has been concerned because of practical needs on Internet services, especially methods that can improve retrieving speed and precision. Thus, we propose a hashing scheme called Geometry and Topology Preserving Hashing for content based image retrieval. A training process of hashing function involves both of geometric information and topology information is introduced. Compared with state-of-the-art methods, our method gives better precision in experiment on the Oxford Building dataset.

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Metadata
Title
Scale and Topology Preserving SIFT Feature Hashing
Authors
Chen Kang
Li Zhu
Xueming Qian
Copyright Year
2016
Book
Advances in Multimedia Information Processing - PCM 2016

Print ISBN: 978-3-319-48895-0

Electronic ISBN: 978-3-319-48896-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48896-7_19