Event Chain-Driven Communication Strategy Generation for News Videos

摘要

This study presents an intelligent planning system (News Video to Propagation Rules Strategy, NV2PRS). The system is based on event chain modeling to achieve automated generation of event-level communication strategies for video news. It consists of two modules: video style feature extraction and knowledge chain matching. First, a multimodal feature analysis engine is used to obtain text semantics, visual features, and communication features. Then, template-based knowledge chain matching is employed to realize the mapping between events and strategies. To optimize the system's practicality, a hierarchical architecture design is adopted, integrating a feature visualization interface and an end-to-end workflow for strategy generation.