Combining CRNN Modeling to Dynamically Align the Relationship Between Music Rhythm and Plot Twists in Different Film Genres
This paper addresses the challenge of quantitatively modeling the dynamic alignment between musical rhythm and plot turning points in films by proposing V2A-AlignNet, a genre-aware cross-modal deep learning framework. As intelligent multimedia perception increasingly relies on advanced signal processing and multimodal...