mlsanityData to 14 Oct 2026

A Lightweight Moment Retrieval System with Global Re-Ranking and Robust Adaptive Bidirectional Temporal Search

arXiv 2504.09298 ↗First posted 12 Apr 2025cs.CVcited by 6

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Abstract (arXiv)

The exponential growth of digital video content has posed critical challenges in moment-level video retrieval, where existing methodologies struggle to efficiently localize specific segments within an expansive video corpus. Current retrieval systems are constrained by computational inefficiencies, temporal context limitations, and the intrinsic complexity of navigating video content. In this paper, we address these limitations through a novel Interactive Video Corpus Moment Retrieval framework that integrates a SuperGlobal Reranking mechanism and Adaptive Bidirectional Temporal Search (ABTS), strategically optimizing query similarity, temporal stability, and computational resources. By preprocessing a large corpus of videos using a keyframe extraction model and deduplication technique through image hashing, our approach provides a scalable solution that significantly reduces storage requirements while maintaining high localization precision across diverse video repositories.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 35 of its 76 references that are in the map. First posted on arXiv 12 Apr 2025.

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35 of 76 references.

References · 35

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23 more
  1. 2022Learning to Answer Questions in Dynamic Audio-Visual Scenarioscited by 191
  2. 2020TransNet V2: An effective deep network architecture for fast shot transition detectioncited by 171
  3. 2018Motion-Appearance Co-Memory Networks for Video Question Answeringcited by 95
  4. 2017Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learningcited by 71
  5. 2019Weakly-Supervised Video Moment Retrieval via Semantic Completion Networkcited by 69
  6. 2021Instance-level Image Retrieval using Reranking Transformerscited by 63
  7. 2021Video Corpus Moment Retrieval with Contrastive Learningcited by 60
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  9. 2023Global Features are All You Need for Image Retrieval and Rerankingcited by 41
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  14. 2025LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight Detectioncited by 8
  15. 2021Transferring Domain-Agnostic Knowledge in Video Question Answeringcited by 7
  16. 2022Modal-specific Pseudo Query Generation for Video Corpus Moment Retrievalcited by 6
  17. 2023An Empirical Study of Frame Selection for Text-to-Video Retrievalcited by 6
  18. 2024Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wildcited by 5
  19. 2024Event-aware Video Corpus Moment Retrievalcited by 4
  20. 2025Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representationscited by 4
  21. 2024Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognitioncited by 3
  22. 2024Text-Video Multi-Grained Integration for Video Moment Montagecited by 3
  23. 2025TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videoscited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 2.

6 papers.