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MyFinder: near-duplicate detection for large image collections

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International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents

Beijing, China

DEMONSTRATION SESSION: Technical demonstrations session 2 table of contents

Pages 1013-1014

Year of Publication: 2009

ISBN:978-1-60558-608-3

Authors

Xin Yang	ECE department, University of California-Santa Barbara, Santa Barbara, CA, USA
Qiang Zhu	ECE department, University of California-Santa Barbara, Santa Barbara, CA, USA
Kwang-Ting Cheng	ECE department, University of California-Santa Barbara, Santa Barbara, CA, USA

Sponsor

SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ACM New York, NY, USA

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ABSTRACT

The explosive growth of multimedia data poses serious challenges to data storage, management and search. Efficient near-duplicate detection is one of the required technologies for various applications. In this paper, we introduce MyFinder, an image near-duplicate detection system for large image collections. MyFinder consists of three major components: 1) a local-feature-based image representation utilizing the proposed LDP (Local-Difference-Pattern) feature, 2) the Locality-Sensitive-Hashing (LSH) as the core indexing structure to assure the most frequent data access occurred in the main memory, and 3) multi-step verification for queries to best exclude false positives and to increase the precision.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Y. Ke, R. Sukthankar, and L. Huston. Efficient Near-duplicate Detection and Sub-image Retrieval. In Proceedings of ACM International Conference on Multimedia, 2004, pages 869--876.
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	3	CGFA - A Virtual Art Museum. http://cgfa.sunsite.dk/
	4	D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 2004
	5	B. Thomee, M. J. Huiskes, E. M. Bakker, and Michael S. Lew. Large scale image copy detection evaluation. In Proceedings of ACM International Conference on Multimedia Information Retrieval, 2008, pages 59--66