The paper claims that a lightweight fusion of gesture, audio, and slide features can predict segment access frequency in lecture archives, but the experiments supporting these numbers are not included in this preprint.
Bayesian fuzzy clustering and deep CNN-based automatic video summarization
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Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives
The paper claims that a lightweight fusion of gesture, audio, and slide features can predict segment access frequency in lecture archives, but the experiments supporting these numbers are not included in this preprint.