A cloud-native vector database with high-performance and high scalability.
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Updated
Mar 20, 2023 - Go
A cloud-native vector database with high-performance and high scalability.
A distributed system for embedding-based vector retrieval
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Video and Image Analytics for Multiple Environments
Authors official PyTorch implementation of the "ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning" [ICCV 2019]
Authors official PyTorch implementation of the "DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval" [IJCV 2022]
Near Duplicate Video Retrieval
A video analysis engine with similarity frame retrieval,keyframe faces recognition,keyframe objects detection and etc.
Context based video seek and search
This repo is a sample video search app using AWS services.
영상의 메타데이터를 자동으로 구축 및 재생하는 웹 기반 시스템
Tool to reverse search videos on YouTube based on frame similarities found
Simple video search/convert bot for telegram that lets the user search for videos on youtube via inline command.
Zero-Example Video Search
An async API and a cli tool to search for Youtube videos.
This project shows how to use the image feature extraction model VGG and the vector search engine Milvus to build an video search system
React practice. Basic video search web app. Results fetched from YouTube. See DEMO on README.
Semantic Video Search Engine
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