How to Moderate Video Content

Computer vision, particularly using the CLIP model developed by OpenAI, offers an automated approach to content moderation in videos, reducing the need for manual human effort. The Roboflow Video Inference API facilitates this process by allowing users to identify specific scenes, such as those containing violence or alcohol, in video content. By comparing video frames to text prompts, CLIP calculates the similarity between frames and predefined categories, helping users implement custom business logic for content management, like restricting certain scenes based on time or audience. The guide provides a step-by-step method to run CLIP on video frames, calculate CLIP vectors, and compare them to moderation labels to determine the presence of specific content, demonstrating its application through Python code. This approach allows organizations to efficiently analyze and moderate video content, deciding whether to flag, review, or restrict based on identified content types.