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
Towards Practical and Efficient Long Video SummaryCode0
APES: Audiovisual Person Search in Untrimmed VideoCode0
Temporal Tessellation: A Unified Approach for Video AnalysisCode0
UBiSS: A Unified Framework for Bimodal Semantic Summarization of VideosCode0
Summarizing Videos with AttentionCode0
Siamese Tracking with Lingual Object ConstraintsCode0
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness RewardCode0
Adaptive frame selection in two dimensional convolutional neural network action recognitionCode0
Spatio-Temporal Stability Analysis in Satellite Image Times SeriesCode0
A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization MethodsCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Cluster-based Video Summarization with Temporal Context AwarenessCode0
SD-VSum: A Method and Dataset for Script-Driven Video SummarizationCode0
SELF-VS: Self-supervised Encoding Learning For 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
Rethinking the Evaluation of Video SummariesCode0
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
Enhancing Video Summarization with Context AwarenessCode0
FFNet: Video Fast-Forwarding via Reinforcement LearningCode0
Show:102550
← PrevPage 3 of 12Next →

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