The text discusses the complexities and necessities of video annotation compared to image annotation, emphasizing the distinct set of tools required for effective video data handling. It highlights the challenges faced by annotation teams, such as variable frame rates and frame synchronization issues, and stresses the importance of having a platform that can handle these without limiting video length. The text outlines essential features needed in a video annotation tool, including an easy-to-use interface, powerful annotation tooling, and dynamic and event-based classifications. Automated object tracking and AI-assisted labeling are also crucial for increasing efficiency and quality, with micro-models and active learning offering significant advantages. Effective management of large annotation teams and projects is emphasized, with features like access control and performance dashboards being crucial for project leaders. Ultimately, the text advocates for using platforms like Encord to enhance efficiency and reduce manual annotation tasks, underscoring its application across various sectors such as healthcare and smart cities.