Textual data that has been computationally "embedded" into the video's mathematical representation (the "embedding space") to help AI distinguish between real and manipulated media.
Some studies use multimodal transformers to capture location and visual content within video files to generate unique, searchable "deep text" or binary codes for faster retrieval. mm.167.mp4
Researchers use "Deep Architectures" to fuse visual and textual content, allowing machines to "read" or tag videos based on complex internal patterns rather than just metadata. Summary of "Deep Text" in Video In this context, "deep text" generally refers to: Textual data that has been computationally "embedded" into
