Video Similarity Search
Powering your video similarity search system with Zilliz Cloud (fully managed Milvus) vector database
Video Similarity Search With Zilliz Cloud Vector Database
Discover videos resembling your video query with Zilliz Cloud-powered video search engines, proven beneficial for video surveillance, deduplication, recommendation, and beyond.
High-Performant Video Search with Unparalleled Precision
Experience a 10x performance boost on Zilliz Cloud with advanced indexing algorithms, ensuring millisecond-level latency. Benefit from unparalleled precision using hybrid vector search with scalar filtering and range search capability.
Efficiently Managing Your Spiking Video Search Data
Say goodbye to data size concerns with Zilliz Cloud. Experience horizontal and independent scaling for computing and storage, aligning with your budget and evolving needs.
Real-Time Responses for Optimized User Experience
Zilliz Cloud guarantees consistently up-to-date search results through real-time data insertion, deletion, and seamless data flows, significantly optimizing the user experience.
Always On, Always Reliable
Zilliz Cloud builds resilient video search systems, guaranteeing uninterrupted service reliability, even in unexpected events through multiple replicas, component isolation, and robust backup and sync capabilities.
Simple Start, Amplified Productivity
Deploy a large-scale similarity search service in minutes with user-friendly SDKs in multiple languages and streamlined data operations, ensuring an intuitive user experience.
How Zilliz Cloud Powers Video Similarity Search
A Zilliz-powered video similarity search system works in the following ways:
- Videos are transformed into vector embeddings using an embedding model.
- Video embeddings are ingested and stored in Zilliz Cloud.
- A user queries for videos similar to their video.
- The video query is transformed into vector embeddings using an embedding model.
- The query embeddings are sent to Zilliz Cloud for a similarity search.
- Zilliz Cloud performs ANN searches and retrieves the Top-K most relevant results.
- Zilliz Cloud returns the Top-K results to the user.
Success Stories
Industry leaders worldwide use Milvus or Zilliz Cloud (the fully managed Milvus) to power their video search business.
> 100M
embedding vector storage and searching
Seamlessly integration
with various internal systems and tech stacks
Enhanced real-time data retrieval
with reduced latency and increased system availability
Entertainment
How Milvus Transformed BIGO's Video Deduplication System for Optimal Throughput and User Experience
Read Now<200ms
search response time with a high recall rate
>700 million
embedding vectors indexing and management
Significantly increased
query throughput without compromising performance
> 100M
embedding vector storage and searching
Seamlessly integration
with various internal systems and tech stacks
Enhanced real-time data retrieval
with reduced latency and increased system availability
Entertainment
How Milvus Transformed BIGO's Video Deduplication System for Optimal Throughput and User Experience
Read Now<200ms
search response time with a high recall rate
>700 million
embedding vectors indexing and management
Significantly increased
query throughput without compromising performance