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video_summarize_dsf's Introduction

Video Summarization using Deep Semantic Features

これは"Video Summarization using Deep Semantic Features" in ACCV'16 [arXiv]を書き直したものになります。
実装元のリンク,備忘録

実験手順

git clone https://github.com/590shun/vsum_dsf.git

オプション

このコードでは以下のM. Gygli et al. [1]を参考にしています。 環境構築は次のように行います。

cd vsum_dsf
git clone https://github.com/gyglim/gm_submodular.git
cd gm_submodular
python setup.py install --user

[1] Gygli, Grabner & Van Gool. Video Summarization by Learning Submodular Mixtures of Objectives. CVPR 2015.

データセットのダウンロードとモデルの使用について

この実験で使うデータ(SumMeデータセット)は data.zipとして保管。 データセットについては(こちら)を参照。

cd data/summe
wget https://data.vision.ee.ethz.ch/cvl/SumMe/SumMe.zip
unzip SumMe.zip

実験

python script/summarize.py
python script/evaluate.py results/summe/smt_feat

video_summarize_dsf's People

Contributors

590shun avatar dvqthinh avatar mayu-ot avatar born99 avatar

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