Title :
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
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;
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
DOI :
10.1109/ICAL.2010.5585375
