Saadman Sakib

Multimodal Video Summarization Using Vision‐Language Embeddings and Hierarchical Temporal Modeling

Video summarization aims to produce concise representations of videos by selecting the most informative frames or shots. Existing methods predominantly rely on unimodal visual features extracted from convolutional neural networks, overlooking the rich semantic information that natural language can provide. In this...