mlsanityData to 14 Oct 2026

AVscript: Accessible Video Editing with Audio-Visual Scripts

arXiv 2302.14117 ↗First posted 27 Feb 2023cs.HCcited by 19

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Abstract (arXiv)

Sighted and blind and low vision (BLV) creators alike use videos to communicate with broad audiences. Yet, video editing remains inaccessible to BLV creators. Our formative study revealed that current video editing tools make it difficult to access the visual content, assess the visual quality, and efficiently navigate the timeline. We present AVscript, an accessible text-based video editor. AVscript enables BLV creators to edit their video using a script that embeds the video's visual content, visual errors (e.g., dark or blurred footage), and speech. BLV creators can use AVscript to efficiently navigate between scenes and visual errors or to locate objects in the frame or spoken words of interest. A comparison study (N=12) showed that AVscript significantly lowered BLV creators' mental demands while increasing confidence and independence in video editing. We further demonstrate the potential of AVscript through an exploratory study (N=3) where BLV creators edited their own footage.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Feb 2023.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 6; 2025: 7; 2026: 6.

19 papers.

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  1. 2024LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editingcited by 47
  2. 2025Morae: Proactively Pausing UI Agents for User Choicescited by 19
  3. 2024Long-Form Answers to Visual Questions from Blind and Low Vision Peoplecited by 18
  4. 2025EditDuet: A Multi-Agent System for Video Non-Linear Editingcited by 16
  5. 2024ExpressEdit: Video Editing with Natural Language and Sketchingcited by 14
  6. 2025Vid2Coach: Transforming How-To Videos into Task Assistantscited by 12
  7. 2024DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generationcited by 8
  8. 2024EditScribe: Non-Visual Image Editing with Natural Language Verification Loopscited by 6
  9. 2025Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarizationcited by 6
  10. 2025Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptionscited by 6
  11. 2025Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven Mediacited by 6
  12. 2026A Benchmark and Multi-Agent System for Instruction-driven Cinematic Video Compilationcited by 6
7 more
  1. 2025Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Searchcited by 2
  2. 2026Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Videocited by 2
  3. 2024AltCanvas: A Tile-Based Image Editor with Generative AI for Blind or Visually Impaired Peoplecited by 1
  4. 2026Making Videos Accessible for Blind and Low Vision Users Using a Multimodal Agent Video Playercited by 0
  5. 2026A Text-Native Interface for Generative Video Authoringcited by 0
  6. 2026How Do Novice Describers Edit AI Drafts? The Role of Draft Quality in Audio Description Authoringcited by 0
  7. 2026Autoregressive Modeling of Film with Applications in Video Montagecited by 0