Recently, Visual China announced a strategic partnership with Beijing Vidu Technology Co., Ltd. to jointly explore and establish a 'Visual Industry Large Model Platform and Applications.' This collaboration aims to deepen the application of artificial intelligence technology in the visual content industry and promote the intelligent upgrading of the industry, with the goal of providing more efficient and intelligent services for global visual content creators and users.

Recently, the Meta AI team introduced LongVU, a novel spatio-temporal adaptive compression mechanism aimed at enhancing the language understanding capabilities of long videos. Traditional multimodal large language models (MLLMs) face limitations in context length when processing long videos, and LongVU was created to address this challenge. LongVU operates primarily by filtering duplicate frames and employing inter-frame token compression techniques to efficiently utilize context length, allowing it to reduce video data while preserving visual details.

With the advancement of artificial intelligence technology, video understanding has become increasingly important. Against this backdrop, the VideoLLaMA 2 project has emerged, aiming to advance video large language model spatiotemporal modeling and audio comprehension capabilities. This project is an advanced multimodal language model that can help users better understand video content.