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CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval
[article]
2021
arXiv
pre-print
As important data carriers, the drastically increasing number of multimedia videos often brings many duplicate and near-duplicate videos in the top results of search. Near-duplicate video retrieval (NDVR) can cluster and filter out the redundant contents. In this paper, the proposed NDVR approach extracts the frame-level video representation based on convolutional neural network (CNN) features from fully-connected layer and aggregated intermediate convolutional layers. Unsupervised metric
arXiv:2105.14566v1
fatcat:zuxlm3u5j5e3td3axl5fme2gj4