# B-Script: Transcript-based B-roll Video Editing with Recommendations

arXiv: https://arxiv.org/abs/1902.11216 · HTML: https://mlsanity.com/paper/1902.11216/

## Key facts

- Cited by 16 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Feb 2019.

## Built on by (most cited first, 16 of 16)

- [LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing](https://mlsanity.com/paper/2402.10294/) (2024)
- [Generative Disco: Text-to-Video Generation for Music Visualization](https://mlsanity.com/paper/2304.08551/) (2023)
- [EditDuet: A Multi-Agent System for Video Non-Linear Editing](https://mlsanity.com/paper/2509.10761/) (2025)
- [ExpressEdit: Video Editing with Natural Language and Sketching](https://mlsanity.com/paper/2403.17693/) (2024)
- [Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows](https://mlsanity.com/paper/2210.08737/) (2022)
- [Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarization](https://mlsanity.com/paper/2502.07096/) (2025)
- [A Benchmark and Multi-Agent System for Instruction-driven Cinematic Video Compilation](https://mlsanity.com/paper/2604.10456/) (2026)
- [Generative Timelines for Instructed Visual Assembly](https://mlsanity.com/paper/2411.12293/) (2024)
- [VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space](https://mlsanity.com/paper/2211.12492/) (2022)
- [AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation](https://mlsanity.com/paper/2603.28366/) (2026)
- [MapStory: Prototyping Editable Map Animations with LLM Agents](https://mlsanity.com/paper/2505.21966/) (2025)
- [Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search](https://mlsanity.com/paper/2502.05924/) (2025)
- [VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing](https://mlsanity.com/paper/2605.03276/) (2026)
- [Rewriting Video: Text-Driven Reauthoring of Video Footage](https://mlsanity.com/paper/2601.08565/) (2026)
- [Autoregressive Modeling of Film with Applications in Video Montage](https://mlsanity.com/paper/2607.14645/) (2026)
- [Memory-Guided B-Roll Generation from User Video Collections](https://mlsanity.com/paper/2610.01884/) (2026)

## Abstract (arXiv)

In video production, inserting B-roll is a widely used technique to enrich the story and make a video more engaging. However, determining the right content and positions of B-roll and actually inserting it within the main footage can be challenging, and novice producers often struggle to get both timing and content right. We present B-Script, a system that supports B-roll video editing via interactive transcripts. B-Script has a built-in recommendation system trained on expert-annotated data, recommending users B-roll position and content. To evaluate the system, we conducted a within-subject user study with 110 participants, and compared three interface variations: a timeline-based editor, a transcript-based editor, and a transcript-based editor with recommendations. Users found it easier and were faster to insert B-roll using the transcript-based interface, and they created more engaging videos when recommendations were provided.