This article introduces the Video ReCap model, an open source video subtitle generation technology that is capable of generating hierarchical video subtitles covering video lengths ranging from 1 second to 2 hours. The model adopts a recursive video language architecture and includes three core modules: video encoder, video-language alignment and recursive text decoder. It can understand video content at different time lengths and abstraction levels and generate accurate and richly layered descriptions. Its recursive architecture shows significant advantages in generating paragraph descriptions and video summaries, and can improve the effect of long video question and answer, bringing new breakthroughs in the fields of video understanding and content generation.
The Video ReCap model is an open source video subtitle generation technology that can process videos from 1 second to 2 hours and generate layered video subtitles at different levels. By using a recursive video language architecture, including three modules: video encoder, video-language alignment and recursive text decoder, the model is able to understand videos at different time lengths and abstraction levels and generate accurate and richly layered video description subtitles . Experiments demonstrate the importance of recursive architectures for generating segment descriptions and video summaries. In addition, the hierarchical video subtitles generated by this model can significantly improve the effect of long video question and answer based on the EgoSchema data set.All in all, the Video ReCap model shows great potential in video understanding and application with its efficient subtitle generation capabilities and hierarchical structure, providing new directions and technical support for research and development in related fields. Its open source feature also makes it easier for more researchers and developers to participate and jointly promote the progress and improvement of this technology.