kezhang-cs/Video-Summarization-with-LSTM
Implementation of our ECCV 2016 Paper (Video Summarization with Long Short-term Memory)
This project helps video editors, content creators, or researchers automatically create short, representative summaries from longer videos. You provide a video file, and it outputs a condensed video or a list of key segments, highlighting the most important moments. It's designed for anyone needing to quickly grasp the essence of lengthy video content without watching it all.
196 stars. No commits in the last 6 months.
Use this if you need to generate concise video summaries or identify key moments from a collection of long videos efficiently.
Not ideal if you need frame-level precision for very specific editing tasks or if your videos require highly subjective, artistic summarization.
Stars
196
Forks
56
Language
Matlab
License
—
Category
Last pushed
Apr 23, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kezhang-cs/Video-Summarization-with-LSTM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
open-mmlab/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
facebookresearch/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
HuaizhengZhang/Awsome-Deep-Learning-for-Video-Analysis
Papers, code and datasets about deep learning and multi-modal learning for video analysis
KaiyangZhou/pytorch-vsumm-reinforce
Unsupervised video summarization with deep reinforcement learning (AAAI'18)
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch