mlsanityData to 14 Oct 2026

Video Summarisation with Incident and Context Information using Generative AI

arXiv 2501.04764 ↗First posted 8 Jan 2025cs.CV cs.MMcited by 2

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Abstract (arXiv)

The proliferation of video content production has led to vast amounts of data, posing substantial challenges in terms of analysis efficiency and resource utilization. Addressing this issue calls for the development of robust video analysis tools. This paper proposes a novel approach leveraging Generative Artificial Intelligence (GenAI) to facilitate streamlined video analysis. Our tool aims to deliver tailored textual summaries of user-defined queries, offering a focused insight amidst extensive video datasets. Unlike conventional frameworks that offer generic summaries or limited action recognition, our method harnesses the power of GenAI to distil relevant information, enhancing analysis precision and efficiency. Employing YOLO-V8 for object detection and Gemini for comprehensive video and text analysis, our solution achieves heightened contextual accuracy. By combining YOLO with Gemini, our approach furnishes textual summaries extracted from extensive CCTV footage, enabling users to swiftly navigate and verify pertinent events without the need for exhaustive manual review. The quantitative evaluation revealed a similarity of 72.8%, while the qualitative assessment rated an accuracy of 85%, demonstrating the capability of the proposed method.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 8 of its 31 references that are in the map. First posted on arXiv 8 Jan 2025.

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8 of 31 references.

References · 8

  1. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  2. 2015Fast R-CNNcited by 2,933
  3. 2014Show and Tell: A Neural Image Caption Generatorcited by 879
  4. 2019Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detectioncited by 564
  5. 2018SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networkscited by 446
  6. 2018Human Action Recognition and Prediction: A Surveycited by 227
  7. 2017Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Rewardcited by 105
  8. 2021GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarizationcited by 26

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Citing papers per year: 2025: 2.

2 papers.