Unsupervised Video Summarization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (31 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
  29 Dec 2017 6 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Video summarization aims to facilitate large-scale video browsing by producing short, concise summaries that are diverse and representative of original videos.
• Unsupervised video summarization framework using keyframe extraction and video skimming
  10 Oct 2019 3 repositories listed
  Video is one of the robust sources of information and the consumption of online and offline videos has reached an unprecedented level in the last few years.
• Integrate the temporal scheme for unsupervised video summarization via attention mechanism
  26 Feb 2025 1 repository listed
  In this work, we present a novel unsupervised scheme named SegSum, designed for video summarization through the creation of video skims.
• Enhancing Video Summarization with Context Awareness
  6 Apr 2024 1 repository listed
  Despite the importance of video summarization, there is a lack of diverse and representative datasets, hindering comprehensive evaluation and benchmarking of algorithms.
• Cluster-based Video Summarization with Temporal Context Awareness
  6 Apr 2024 1 repository listed
  In this paper, we present TAC-SUM, a novel and efficient training-free approach for video summarization that addresses the limitations of existing cluster-based models by incorporating temporal context.
• Unsupervised Video Summarization via Iterative Training and Simplified GAN
  7 Nov 2023 1 repository listed
  This paper introduces a new, unsupervised method for automatic video summarization using ideas from generative adversarial networks but eliminating the discriminator, having a simple loss function, and separating…
• Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score
  11 Sep 2023 1 repository listed
  We show that the reconstruction loss of the model for a video with masked frames correlates with the representativeness of the remaining frames in the video.
• Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score.
  11 Sep 2023 1 repository listed
  We show that the reconstruction loss of the model for a video with masked frames correlates with the representativeness of the remaining frames in the video.
• Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
  18 Nov 2022 1 repository listed
  Video summarization aims to select the most informative subset of frames in a video to facilitate efficient video browsing.
• Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames
  29 Jun 2022 1 repository listed
  Instead of simply modeling the frames' dependencies based on global attention, our method integrates a concentrated attention mechanism that is able to focus on non-overlapping blocks in the main diagonal of the…
• ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
  6 Sep 2021 1 repository listed
  This type of methods includes a summarizer and a discriminator.
• Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization Task
  9 Jun 2021 1 repository listed
  With the exponential growth of video data, video summarization techniques are urgently needed for reducing people’s efforts in the videos' content exploration by generating succinct but informative summaries from…
• Unsupervised Video Summarization via Multi-source Features
  26 May 2021 1 repository listed
  Our evaluation shows that we obtain state-of-the-art results on both datasets, while also highlighting the shortcomings of previous work with regard to the evaluation methodology.
• AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization
  16 Nov 2020 1 repository listed
  This paper presents a new method for unsupervised video summarization.
• Unsupervised Video Summarization via Attention-Driven Adversarial Learning
  24 Dec 2019 1 repository listed
  Experimental evaluation on two datasets (SumMe and TVSum) documents the contribution of the attention auto-encoder to faster and more stable training of the model, resulting in a significant performance improvement with…
• ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization
  8 Dec 2019 1 repository listed
  We consider shot-based video summarization where the summary consists of a subset of the video shots which can be of various lengths.
• A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization
  21 Oct 2019 1 repository listed
  In this paper we present our work on improving the efficiency of adversarial training for unsupervised video summarization.
• Discriminative Feature Learning for Unsupervised Video Summarization
  24 Nov 2018 1 repository listed
  The proposed variance loss allows a network to predict output scores for each frame with high discrepancy which enables effective feature learning and significantly improves model performance.
• Unsupervised Video Summarization With Adversarial LSTM Networks
  1 Jul 2017 1 repository listed
  The summarizer is the autoencoder long short-term memory network (LSTM) aimed at, first, selecting video frames, and then decoding the obtained summarization for reconstructing the input video.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.