Video Techniques
6 frameworks — AI techniques for understanding, generating, and editing temporal media.
Overview
Video modality frameworks address the unique challenge of working with temporal media — content that unfolds over time. These techniques cover understanding existing video (through captioning, QA, and temporal reasoning) and creating new video (through generation and editing). As AI video models rapidly advance, these prompting strategies become increasingly important.
Video Techniques 6
Video Prompting
Core techniques for interacting with AI using video inputs.
Video Generation
Creating video content from text descriptions using AI models.
Temporal Reasoning
Understanding and reasoning about events across time in video.
Video QA
Question-answering systems that reason about video content.
Video Captioning
Generating descriptive text summaries of video content.
Video Editing
AI-assisted video modification, trimming, and enhancement.
Related Categories
Explore other modality categories that complement Video Techniques.
Image
12 frameworksVisual understanding and generation techniques from Multimodal CoT to ControlNet.
Audio
6 frameworksSpeech recognition, voice synthesis, music generation, and audio classification.
3D
5 frameworks3D model generation, scene understanding, pose estimation, and point cloud processing.