Video Caption

Video captioning aims to automatically generate natural language descriptions of video content, bridging the gap between visual and textual information. Current research emphasizes improving the accuracy and contextual relevance of captions, focusing on models that integrate Convolutional Neural Networks (CNNs) for visual feature extraction and Recurrent Neural Networks (RNNs) or large language models (LLMs) for text generation. This field is crucial for enabling efficient video indexing, retrieval, and understanding, with applications ranging from accessibility tools for the visually impaired to advanced video search and analysis systems. Recent work also highlights the need for more nuanced captioning, including handling multi-event videos and allowing for user-controlled editing and refinement of generated captions.