4 Steps to Building a Video Search System

This post details the architecture and implementation of a video search system using Milvus 0.7.1. It outlines the process of extracting key frames from videos, generating embeddings using the VGG model, and storing these embeddings in Milvus. The system also utilizes Minio for video storage and Redis for mapping correlations between videos and vectors. Deployment is managed via Docker and docker-compose, with a specific script for importing video data.