There are many more weird and complex architectures in models for video understanding.
For example, beyond video->text->llm and video->embedding in llm, you can also have an llm controlling/guiding a separate video extractor.
See this paper for a pretty thorough overview.
Tang, Y., Bi, J., Xu, S., Song, L., Liang, S., Wang, T., Zhang, D., An, J., Lin, J., Zhu, R., Vosoughi, A., Huang, C., Zhang, Z., Liu, P., Feng, M., Zheng, F., Zhang, J., Luo, P., Luo, J., & Xu, C. (2025). Video Understanding with Large Language Models: A Survey (No. arXiv:2312.17432). arXiv. https://doi.org/10.48550/arXiv.2312.17432
Yeah, and that's my understanding. Nothing goes video -> text, or audio -> text, or even text -> text without first going through state space. That's where the core of the transformer architecture is.
For example, beyond video->text->llm and video->embedding in llm, you can also have an llm controlling/guiding a separate video extractor.
See this paper for a pretty thorough overview.
Tang, Y., Bi, J., Xu, S., Song, L., Liang, S., Wang, T., Zhang, D., An, J., Lin, J., Zhu, R., Vosoughi, A., Huang, C., Zhang, Z., Liu, P., Feng, M., Zheng, F., Zhang, J., Luo, P., Luo, J., & Xu, C. (2025). Video Understanding with Large Language Models: A Survey (No. arXiv:2312.17432). arXiv. https://doi.org/10.48550/arXiv.2312.17432