What is a video-language model (VideoLLaMA, Video-ChatGPT)?

Video-language models (for example, VideoLLaMA, Video-ChatGPT) are multimodal artificial intelligence models that combine video processing and natural language understanding. They can perceive video streams, extract meaningful information from them, generate textual responses or descriptions, and interact with users in natural language, considering visual context.

Key features of such models include:

• Multimodality: integration of visual information (video frames, movements, objects) and textual data.
• Contextual understanding: ability to analyze video dynamics, recognize actions, objects, emotions.
• Text generation: creating descriptions, answering questions, engaging in dialogue with users based on video content.

Applications include automatic video annotation, interactive video analytics assistants, video surveillance systems with dialogue capabilities, and more.

Technically, these models are built on transformer architectures extended for processing sequences of images and text, often utilizing pre-trained language and visual models combined into a unified system.