Video and Image Analytics for Multiple Environments
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Updated
Jun 24, 2024 - Python
Video and Image Analytics for Multiple Environments
The frontend of shotit, with full documentation.
Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.
The ultimate brain of Shotit, in charge of task coordination.
This repo is a sample video search app using AWS services.
Youtube video moment searcher by text or photo
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
An AI-powered interactive video retrieval system
Authors official PyTorch implementation of the "ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning" [ICCV 2019]
Some information, how to search Youtube videos, without an account and getting a JSON as response.
Python library for finding similar content in videos.
Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]
영상의 메타데이터를 자동으로 구축 및 재생하는 웹 기반 시스템
Media broker for serving video preview for shotit
Four core workers of shotit: watcher, hasher, loader and searcher.
The README profile of Shotit.
Video Search with CLIP
Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.
Context based video seek and search
A computer vision application that retrieves the most similar video frames to selected image/object/character
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