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Query-Focused Extractive Video Summarization

arXiv 1607.05177 ↗First posted 18 Jul 2016cs.CVcited by 26

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Abstract (arXiv)

Video data is explosively growing. As a result of the "big video data", intelligent algorithms for automatic video summarization have re-emerged as a pressing need. We develop a probabilistic model, Sequential and Hierarchical Determinantal Point Process (SH-DPP), for query-focused extractive video summarization. Given a user query and a long video sequence, our algorithm returns a summary by selecting key shots from the video. The decision to include a shot in the summary depends on the shot's relevance to the user query and importance in the context of the video, jointly. We verify our approach on two densely annotated video datasets. The query-focused video summarization is particularly useful for search engines, e.g., to display snippets of videos.

Key facts. Cited by 26 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jul 2016.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 2; 2024: 4; 2025: 7; 2026: 1.

26 papers.

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  1. 2023EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbonecited by 130
  2. 2021CLIP-It! Language-Guided Video Summarizationcited by 99
  3. 2021Video Summarization Using Deep Neural Networks: A Surveycited by 85
  4. 2023An Outlook into the Future of Egocentric Visioncited by 84
  5. 2021PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selectioncited by 51
  6. 2022Submodularity In Machine Learning and Artificial Intelligencecited by 38
  7. 2022TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliencycited by 35
  8. 2024Scaling Up Video Summarization Pretraining with Large Language Modelscited by 17
  9. 2021DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarizationcited by 8
  10. 2022DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learningcited by 8
  11. 2024Unsupervised Modality-Transferable Video Highlight Detection with Representation Activation Sequence Learningcited by 7
  12. 2021How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarizationcited by 6
14 more
  1. 2021PR-Net: Preference Reasoning for Personalized Video Highlight Detectioncited by 6
  2. 2022Video Summarization Overviewcited by 6
  3. 2025Spiking Variational Graph Representation Inference for Video Summarizationcited by 5
  4. 2022Multimodal Frame-Scoring Transformer for Video Summarizationcited by 4
  5. 2025SD-VSum: A Method and Dataset for Script-Driven Video Summarizationcited by 3
  6. 2025Prompts to Summaries: Zero-Shot Language-Guided Video Summarization with Large Language and Video Modelscited by 3
  7. 2025Language-Guided Graph Representation Learning for Video Summarizationcited by 3
  8. 2022Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attentioncited by 2
  9. 2024Your Interest, Your Summaries: Query-Focused Long Video Summarizationcited by 1
  10. 2025Augmenting Moment Retrieval: Zero-Dependency Two-Stage Learningcited by 1
  11. 2024Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioningcited by 0
  12. 2025Language-guided Recursive Spatiotemporal Graph Modeling for Video Summarizationcited by 0
  13. 2025SD-MVSum: Script-Driven Multimodal Video Summarization Method and Datasetscited by 0
  14. 2026LVSum: A Benchmark for Timestamp-Aware Long Video Summarizationcited by 0