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 251280 of 280 papers

TitleStatusHype
Unsupervised Video Summarization via Attention-Driven Adversarial LearningCode0
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific PresentationsCode0
Siamese Tracking with Lingual Object ConstraintsCode0
Spatio-Temporal Stability Analysis in Satellite Image Times SeriesCode0
Query-adaptive Video Summarization via Quality-aware Relevance EstimationCode0
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness RewardCode0
Unsupervised Video Summarization With Adversarial LSTM NetworksCode0
An Integrated Framework for Multi-Granular Explanation of Video SummarizationCode0
Video Summarization: Towards Entity-Aware CaptionsCode0
Integrate the temporal scheme for unsupervised video summarization via attention mechanismCode0
A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization MethodsCode0
ERA: Entity Relationship Aware Video Summarization with Wasserstein GANCode0
Summarizing Videos with AttentionCode0
Video Summarization using Deep Semantic FeaturesCode0
Enhancing Video Summarization with Context AwarenessCode0
DeVAn: Dense Video Annotation for Video-Language ModelsCode0
Cluster-based Video Summarization with Temporal Context AwarenessCode0
Temporal Tessellation: A Unified Approach for Video AnalysisCode0
Adaptive frame selection in two dimensional convolutional neural network action recognitionCode0
CLIP-It! Language-Guided Video SummarizationCode0
A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video SummarizationCode0
Towards Practical and Efficient Long Video SummaryCode0
Vis-DSS: An Open-Source toolkit for Visual Data Selection and SummarizationCode0
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from VideoCode0
Rethinking the Evaluation of Video SummariesCode0
APES: Audiovisual Person Search in Untrimmed VideoCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Unsupervised video summarization framework using keyframe extraction and video skimmingCode0
Visual Question Answering: which investigated applications?Code0
UBiSS: A Unified Framework for Bimodal Semantic Summarization of VideosCode0
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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