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 5175 of 280 papers

TitleStatusHype
CSTA: CNN-based Spatiotemporal Attention for Video SummarizationCode0
APES: Audiovisual Person Search in Untrimmed VideoCode0
Summarizing Videos with AttentionCode0
Temporal Tessellation: A Unified Approach for Video AnalysisCode0
Siamese Tracking with Lingual Object ConstraintsCode0
Spatio-Temporal Stability Analysis in Satellite Image Times SeriesCode0
Towards Practical and Efficient Long Video SummaryCode0
Adaptive frame selection in two dimensional convolutional neural network action recognitionCode0
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imagingCode0
Unsupervised Video Summarization via Iterative Training and Simplified GANCode0
A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization MethodsCode0
Rethinking the Evaluation of Video SummariesCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Cluster-based Video Summarization with Temporal Context AwarenessCode0
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal GroundingCode0
SD-VSum: A Method and Dataset for Script-Driven Video SummarizationCode0
CLIP-It! Language-Guided Video SummarizationCode0
An Integrated Framework for Multi-Granular Explanation of Video SummarizationCode0
Query-adaptive Video Summarization via Quality-aware Relevance EstimationCode0
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal GroundingCode0
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from VideoCode0
ILS-SUMM: Iterated Local Search for Unsupervised Video SummarizationCode0
Integrate the temporal scheme for unsupervised video summarization via attention mechanismCode0
Does SpatioTemporal information benefit Two video summarization benchmarks?Code0
ERA: Entity Relationship Aware Video Summarization with Wasserstein GANCode0
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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