Video copy detection based on Speeded Up Robust Features and Locality Sensitive Hashing

Author

Zhang, Zhijie ; Cao, Chongxiao ; Zhang, Ruijie ; Zou, Jianhua

Author_Institution

Syst. Eng. Inst., Xi´´an Jiaotong Univ., Xi´´an, China

fYear

2010

fDate

16-20 Aug. 2010

Firstpage

13

Lastpage

18

Abstract

In this paper, a new method for content-based video copy detection is presented. This method includes fingerprint extracting and matching phases. In the fingerprint extracting phase, a video is represented by a set of Speeded Up Robust Features (SURF), which outperforms other local features. In the fingerprint matching phase, the Locality Sensitive Hashing (LSH) is applied to efficiently detect video copy. The experimental results show that the proposed method has excellent performance in accuracy and speed.

Keywords

content-based retrieval; cryptography; feature extraction; fingerprint identification; image matching; video retrieval; content-based video copy detection; fingerprint extraction; fingerprint matching phase; locality sensitive hashing; speeded up robust feature; Accuracy; Approximation methods; Feature extraction; Fingerprint recognition; Image color analysis; Robustness; Watermarking; LSH; SURF; video copy detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics (ICAL), 2010 IEEE International Conference on

Conference_Location

Hong Kong and Macau

Print_ISBN

978-1-4244-8375-4

Electronic_ISBN

978-1-4244-8374-7

Type

conf

DOI

10.1109/ICAL.2010.5585375

Filename

5585375