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 101125 of 280 papers

TitleStatusHype
Towards Practical and Efficient Long Video SummaryCode0
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video SummarizationCode1
Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization0
NEWSKVQA: Knowledge-Aware News Video Question Answering0
Exploring Global Diversity and Local Context for Video Summarization0
LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNNCode1
Progressive Video Summarization via Multimodal Self-supervised LearningCode1
Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer0
Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationCode1
Combining Global and Local Attention with Positional Encoding for Video SummarizationCode1
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment0
IntentVizor: Towards Generic Query Guided Interactive Video SummarizationCode1
A Stacking Ensemble Approach for Supervised Video Summarization0
Hierarchical Multimodal Transformer to Summarize Videos0
ERA: Entity Relationship Aware Video Summarization with Wasserstein GANCode0
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imagingCode0
Discriminative Latent Semantic Graph for Video CaptioningCode1
Use of Affective Visual Information for Summarization of Human-Centric Videos0
CLIP-It! Language-Guided Video SummarizationCode0
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net0
Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization TaskCode1
Multimodal Summarization of User-Generated VideosCode1
APES: Audiovisual Person Search in Untrimmed VideoCode0
Unsupervised Video Summarization via Multi-source FeaturesCode1
Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network0
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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
4M-AVSF1-score (Canonical)61Unverified
5PGL-SUMF1-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