SOTAVerified

Video Summarization

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 Image credit: iJRASET

Papers

Showing 2650 of 280 papers

TitleStatusHype
Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationCode1
Combining Global and Local Attention with Positional Encoding for Video SummarizationCode1
IntentVizor: Towards Generic Query Guided Interactive Video SummarizationCode1
Discriminative Latent Semantic Graph for Video CaptioningCode1
Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization TaskCode1
Multimodal Summarization of User-Generated VideosCode1
Unsupervised Video Summarization via Multi-source FeaturesCode1
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domainsCode1
Supervised Video Summarization via Multiple Feature Sets with Parallel AttentionCode1
A Comprehensive Review of the Video-to-Text ProblemCode1
Learning Discriminative Prototypes with Dynamic Time WarpingCode1
Movie Summarization via Sparse Graph ConstructionCode1
DSNet: A Flexible Detect-to-Summarize Network for Video SummarizationCode1
AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video SummarizationCode1
Multi-modal Summarization for Video-containing DocumentsCode1
Ultrasound Video Summarization using Deep Reinforcement LearningCode1
Query-controllable Video SummarizationCode1
Convolutional Hierarchical Attention Network for Query-Focused Video SummarizationCode1
TRIM: A Self-Supervised Video Summarization Framework Maximizing Temporal Relative Information and Representativeness0
MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment0
Prompts to Summaries: Zero-Shot Language-Guided Video Summarization0
Enhancing Video Memorability Prediction with Text-Motion Cross-modal Contrastive Loss and Its Application in Video Summarization0
TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations0
Unsupervised Transcript-assisted Video Summarization and Highlight Detection0
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PGL-SUMF1-score (Canonical)55.6Unverified
2RR-STGF1-score (Canonical)54.5Unverified
3DSNetF1-score (Canonical)53Unverified
4VASNetF1-score (Canonical)49.71Unverified
5M-AVSF1-score (Canonical)44.4Unverified
6CSTAKendall's Tau0.25Unverified
#ModelMetricClaimedVerifiedStatus
1RR-STGF1-score (Canonical)63Unverified
2DSNetF1-score (Canonical)62.1Unverified
3VASNetF1-score (Canonical)61.42Unverified
4PGL-SUMF1-score (Canonical)61Unverified
5M-AVSF1-score (Canonical)61Unverified
6CSTAKendall's Tau0.19Unverified
#ModelMetricClaimedVerifiedStatus
1Shotluck-Holmes (3.1B)CIDEr152.3Unverified
2Shotluck-Holmes (3.1B)CIDEr63.2Unverified
3SUM-shotCIDEr8.6Unverified
#ModelMetricClaimedVerifiedStatus
1EgoVLPv2F1 (avg)52.08Unverified
2EgoVLPF1 (avg)49.72Unverified
#ModelMetricClaimedVerifiedStatus
1PGL-SUMMAP (50%)61.6Unverified
#ModelMetricClaimedVerifiedStatus
1VTSUM-BLIP1 shot Micro-F123.5Unverified