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.
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Cai et al. (2013) studied this question.
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