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In this paper we first propose a feature model clustering visual features for video copy recognition, and adopt Oriented PCA (OPCA) to compute subspace feature for robustness to video distortions and dimensionality reduction. We also propose a novel method to explore statistics of video database to estimate nearest neighbor classification error rate and learn the optimal classification threshold....
In this paper we propose an efficient and robust method to automatically discover unknown short video repeats with arbitrary lengths, from a few seconds to a few minutes, from large video databases or streams. The proposed method consists of non-uniform video segmentation, self-similarity analysis, locality sensitive hashing, and video repeat boundary refinement. In order to achieve efficient and...
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