# A Deep Siamese Network for Scene Detection in Broadcast Videos

arXiv: https://arxiv.org/abs/1510.08893 · HTML: https://mlsanity.com/paper/1510.08893/

## Key facts

- Cited by 21 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Oct 2015.

## Built on by (most cited first, 21 of 21)

- [Efficient Movie Scene Detection using State-Space Transformers](https://mlsanity.com/paper/2212.14427/) (2022)
- [Shot Contrastive Self-Supervised Learning for Scene Boundary Detection](https://mlsanity.com/paper/2104.13537/) (2021)
- [AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection](https://mlsanity.com/paper/2304.06116/) (2023)
- [Boundary-aware Self-supervised Learning for Video Scene Segmentation](https://mlsanity.com/paper/2201.05277/) (2022)
- [Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection](https://mlsanity.com/paper/2203.00307/) (2022)
- [Scene Consistency Representation Learning for Video Scene Segmentation](https://mlsanity.com/paper/2205.05487/) (2022)
- [OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer](https://mlsanity.com/paper/2604.24762/) (2026)
- [OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification](https://mlsanity.com/paper/2207.01241/) (2022)
- [MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation](https://mlsanity.com/paper/2308.11185/) (2023)
- [Overview of Tencent Multi-modal Ads Video Understanding Challenge](https://mlsanity.com/paper/2109.07951/) (2021)
- [Learnable Optimal Sequential Grouping for Video Scene Detection](https://mlsanity.com/paper/2205.08249/) (2022)
- [Parameter-free Video Segmentation for Vision and Language Understanding](https://mlsanity.com/paper/2503.01201/) (2025)
- [AntPivot: Livestream Highlight Detection via Hierarchical Attention Mechanism](https://mlsanity.com/paper/2206.04888/) (2022)
- [Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation](https://mlsanity.com/paper/2212.04700/) (2022)
- [Scene-VLM: Multimodal Video Scene Segmentation via Vision-Language Models](https://mlsanity.com/paper/2512.21778/) (2025)
- [Structured Context Learning for Generic Event Boundary Detection](https://mlsanity.com/paper/2512.00475/) (2025)
- [TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions](https://mlsanity.com/paper/2604.27975/) (2026)
- [Movie Genre Classification by Language Augmentation and Shot Sampling](https://mlsanity.com/paper/2203.13281/) (2022)
- [Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation](https://mlsanity.com/paper/2312.00220/) (2023)
- [Modality-Aware Shot Relating and Comparing for Video Scene Detection](https://mlsanity.com/paper/2412.17238/) (2024)
- [Automatic Funny Scene Extraction from Long-form Cinematic Videos](https://mlsanity.com/paper/2602.15381/) (2026)

## Abstract (arXiv)

We present a model that automatically divides broadcast videos into coherent scenes by learning a distance measure between shots. Experiments are performed to demonstrate the effectiveness of our approach by comparing our algorithm against recent proposals for automatic scene segmentation. We also propose an improved performance measure that aims to reduce the gap between numerical evaluation and expected results, and propose and release a new benchmark dataset.