https://github.com/SachinGokal/capstone-final
Unsupervised video summarization framework using keyframe extraction and video skimming
Papers with Code 아카이브
Video Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 6
- 보존된 평가 기록
- 18
Video Summarization aims to generate a short synopsis that summarizes the video content by selecting its most informative and important parts. The produced summary is usually composed of a set of representative video frames (a.k.a. video key-frames), or video fragments (a.k.a. video key-fragments) that have been stitched in chronological order to form a shorter video. The former type of a video summary is known as video storyboard, and the latter type is known as video skim.
Source: Video Summarization Using Deep Neural Networks: A Survey <br> <span style="color:grey; opacity: 0.6">Image credit: iJRASET</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/StevRamos/video_summarization
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
https://github.com/VinACE/trans-vsumm
https://github.com/azhar0100/VASNet
https://github.com/bavo96/SegSum
https://github.com/ckczzj/AAAI2020
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
https://github.com/e-apostolidis/AC-SUM-GAN
https://github.com/e-apostolidis/CA-SUM
https://github.com/e-apostolidis/PGL-SUM
https://github.com/e-apostolidis/SUM-GAN-AAE
https://github.com/e-apostolidis/SUM-GAN-sl
https://github.com/emsalinha/videosum-eval
https://github.com/gangasani-anusha/Short-Story_Assignment
https://github.com/jielin-qiu/mmsum_model
MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
https://github.com/li-plus/DSNet
https://github.com/mayu-ot/rethinking-evs
https://github.com/mehryar72/RS-SUM
https://github.com/n9839950/EGH400-2-DSN
https://github.com/neda60/video-summarization-using-FCSN
https://github.com/pwc-1/Paper-5/tree/main/megatron_gpt2
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
https://github.com/pwc-1/Paper-9/tree/main/2/megatron_gpt2
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
https://github.com/srkds/CHAN-QFVS-PyTorch-Implementation
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
https://github.com/srkds/Query-Focused-Long-Video-Summarization
Your Interest, Your Summaries: Query-Focused Long Video Summarization
https://github.com/srpkdyy/CLIP-It
https://github.com/tejas-gokhale/AGAT
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
https://github.com/wildoctopus/SADNet
Discriminative Feature Learning for Unsupervised Video Summarization
https://github.com/xiyan524/mm-avs
https://github.com/ymlwww/rlproject
https://github.com/zaeemzadeh/Active-Learning-UCF101-IPM
https://github.com/zaeemzadeh/IPM
https://github.com/zhaoyue-zephyrus/avion
https://gitlab.com/williamsdaniel888/valma
Unsupervised video summarization framework using keyframe extraction and video skimming
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.