Video Captioning

Video captioning aims to automatically generate textual descriptions of video content, bridging the gap between visual and linguistic understanding. Current research emphasizes improving caption accuracy and fluency, focusing on architectures like transformers and incorporating diverse modalities (visual, audio, textual) through techniques such as multi-modal fusion and knowledge graph augmentation. These advancements are driving progress in applications such as video indexing, accessibility tools for visually impaired individuals, and automated content generation, while also pushing the boundaries of multimodal learning and natural language generation. The field is also actively addressing challenges like handling long-tail distributions of words and mitigating factual errors in generated captions.