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Aug 7, 2019 · Artificial Intelligence

Near-Duplicate Video Retrieval: Framework, Feature Extraction, Metric Learning, and Model Optimization

This article presents a comprehensive study of near‑duplicate video retrieval, covering the definition of near‑duplicate videos, motivations for deduplication, challenges, a two‑stage offline/online processing framework, keyframe and VGG16‑based feature extraction, metric‑learning loss functions, training procedures, dataset preparation, evaluation metrics, and model enhancements using LSTM and attention mechanisms.

AttentionLSTMVGG16
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Near-Duplicate Video Retrieval: Framework, Feature Extraction, Metric Learning, and Model Optimization