DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning

arXiv — cs.LGTuesday, December 2, 2025 at 5:00:00 AM
  • DynaStride has been introduced as a novel pipeline for generating coherent, scene-level captions in instructional videos, enhancing the learning experience by aligning visual cues with textual guidance. This method utilizes adaptive frame sampling and multimodal windowing to capture key transitions without manual scene segmentation, leveraging the YouCookII dataset for improved instructional clarity.
  • The development of DynaStride is significant as it addresses the common issue of incoherent captions in educational videos, which can confuse learners and detract from the intended instructional value. By providing a structured approach to captioning, it supports procedural learning and multimodal reasoning, ultimately enriching the educational content.
  • This advancement reflects a broader trend in artificial intelligence where systems are increasingly designed to understand complex visual and temporal contexts. Innovations like LAST and VideoChat-M1 further illustrate the growing capabilities of vision-language models, enhancing video comprehension and collaborative learning, and indicating a shift towards more interactive and effective educational tools.
— via World Pulse Now AI Editorial System

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