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Efficient video retrieval using shot clustering and alignment

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3 Author(s)
Nai-Xiang Lian ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Yap-Peng Tan ; Kap Luk Chan

Retrieving similar video clips from large video database requires a fast methods that can attain high precision and recall. This paper adopts clustering to speed up the search in database, and proposes a new distance measure, which aligns two video clips to improve the accuracy of their similarity. Based on the clustering and the distance measure, we propose a new algorithm to construct candidate video clips in video query by example. Experimental results show that the proposed video retrieval method is efficient.

Published in:

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on  (Volume:3 )

Date of Conference:

15-18 Dec. 2003