Scale and topology preserving SIFT feature hashing

Chen Kang; Li Zhu; Xueming Qian

doi:10.1007/978-3-319-48896-7_19

Scale and topology preserving SIFT feature hashing

Chen Kang
, Li Zhu
, Xueming Qian

电子与信息学部

Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言	英语
主期刊名	Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings
编辑	Enqing Chen, Yun Tie, Yihong Gong
出版商	Springer Verlag
页	190-199
页数	10
ISBN（印刷版）	9783319488950
DOI	https://doi.org/10.1007/978-3-319-48896-7_19
出版状态	已出版 - 2016
活动	17th Pacific-Rim Conference on Multimedia, PCM 2016 - Xi’an, 中国期限: 15 9月 2016 → 16 9月 2016

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	9917 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	17th Pacific-Rim Conference on Multimedia, PCM 2016
国家/地区	中国
市	Xi’an
时期	15/09/16 → 16/09/16

访问文件

10.1007/978-3-319-48896-7_19

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引用此

Kang, C., Zhu, L., & Qian, X. (2016). Scale and topology preserving SIFT feature hashing. 在 E. Chen, Y. Tie, & Y. Gong (编辑), Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings (页码 190-199). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9917 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48896-7_19

Kang, Chen ; Zhu, Li ; Qian, Xueming. / Scale and topology preserving SIFT feature hashing. Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings. 编辑 / Enqing Chen ; Yun Tie ; Yihong Gong. Springer Verlag, 2016. 页码 190-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3fb946280cd6490c90a8bbdd8e2180e6,

title = "Scale and topology preserving SIFT feature hashing",

abstract = "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.",

keywords = "CBIR, GTPH, Geometric information, Hashing, SIFT",

author = "Chen Kang and Li Zhu and Xueming Qian",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th Pacific-Rim Conference on Multimedia, PCM 2016 ; Conference date: 15-09-2016 Through 16-09-2016",

year = "2016",

doi = "10.1007/978-3-319-48896-7\_19",

language = "英语",

isbn = "9783319488950",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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editor = "Enqing Chen and Yun Tie and Yihong Gong",

booktitle = "Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings",

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Kang, C, Zhu, L & Qian, X 2016, Scale and topology preserving SIFT feature hashing. 在 E Chen, Y Tie & Y Gong (编辑), Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 9917 LNCS, Springer Verlag, 页码 190-199, 17th Pacific-Rim Conference on Multimedia, PCM 2016, Xi’an, 中国, 15/09/16. https://doi.org/10.1007/978-3-319-48896-7_19

Scale and topology preserving SIFT feature hashing. / Kang, Chen; Zhu, Li; Qian, Xueming.
Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings. 编辑 / Enqing Chen; Yun Tie; Yihong Gong. Springer Verlag, 2016. 页码 190-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9917 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Scale and topology preserving SIFT feature hashing

AU - Kang, Chen

AU - Zhu, Li

AU - Qian, Xueming

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - CBIR

KW - GTPH

KW - Geometric information

KW - Hashing

KW - SIFT

UR - https://www.scopus.com/pages/publications/85006954459

U2 - 10.1007/978-3-319-48896-7_19

DO - 10.1007/978-3-319-48896-7_19

M3 - 会议稿件

AN - SCOPUS:85006954459

SN - 9783319488950

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 190

EP - 199

BT - Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings

A2 - Chen, Enqing

A2 - Tie, Yun

A2 - Gong, Yihong

PB - Springer Verlag

T2 - 17th Pacific-Rim Conference on Multimedia, PCM 2016

Y2 - 15 September 2016 through 16 September 2016

ER -

Kang C, Zhu L, Qian X. Scale and topology preserving SIFT feature hashing. 在 Chen E, Tie Y, Gong Y, 编辑, Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings. Springer Verlag. 2016. 页码 190-199. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-48896-7_19

Scale and topology preserving SIFT feature hashing

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