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Large-Scale Near-Duplicate Web Video Retrieval: Challenges and Approaches
April-June 2013 (vol. 20 no. 2)
pp. 42-51
Yang Cai, Carnegie Mellon University
Linjun Yang, Microsoft
This article studies the challenges and opportunities of million-scale near-duplicate video retrieval using three well-known and potentially scalable methods. It concludes that although these approaches can perform efficiently they suffer from a significant performance drop because the efficient features are neither discriminative nor robust enough for versatile cases.
Index Terms:
Content-based retrieval,Video recording,Scalability,System analysis and design,large-scale video retrieval,multimedia,multimedia applications,Web technology,near duplicate,video retrieval,content-based video retrieval
Citation:
Yang Cai, Linjun Yang, "Large-Scale Near-Duplicate Web Video Retrieval: Challenges and Approaches," IEEE Multimedia, vol. 20, no. 2, pp. 42-51, April-June 2013, doi:10.1109/MMUL.2013.23
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