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Audio Descriptions (ADs) aim to provide a narration of a movie in text form, describing non-dialogue-related narratives, such as characters, actions, or scene establishment. Automatic generation of ADs remains challenging due to: i) the…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Bo Fang , Wenhao Wu , Qiangqiang Wu , Yuxin Song , Antoni B. Chan

The Audio Description (AD) task aims to generate descriptions of visual elements for visually impaired individuals to help them access long-form video content, like movies. With video feature, text, character bank and context information as…

Computer Vision and Pattern Recognition · Computer Science 2025-04-16 Hanlin Wang , Zhan Tong , Kecheng Zheng , Yujun Shen , Limin Wang

The objective of this paper is an automatic Audio Description (AD) model that ingests movies and outputs AD in text form. Generating high-quality movie AD is challenging due to the dependency of the descriptions on context, and the limited…

Computer Vision and Pattern Recognition · Computer Science 2023-03-30 Tengda Han , Max Bain , Arsha Nagrani , Gül Varol , Weidi Xie , Andrew Zisserman

Audio Descriptions (ADs) convey essential on-screen information, allowing visually impaired audiences to follow videos. To be effective, ADs must form a coherent sequence that helps listeners to visualise the unfolding scene, rather than…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Eshika Khandelwal , Junyu Xie , Tengda Han , Max Bain , Arsha Nagrani , Andrew Zisserman , Gül Varol , Makarand Tapaswi

Audio Description (AD) plays a pivotal role as an application system aimed at guaranteeing accessibility in multimedia content, which provides additional narrations at suitable intervals to describe visual elements, catering specifically to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Seon-Ho Lee , Jue Wang , David Fan , Zhikang Zhang , Linda Liu , Xiang Hao , Vimal Bhat , Xinyu Li

Audio descriptions (AD) make videos accessible for blind and low vision (BLV) users by describing visual elements that cannot be understood from the main audio track. AD created by professionals or novice describers is time-consuming and…

Human-Computer Interaction · Computer Science 2025-05-29 Maryam Cheema , Hasti Seifi , Pooyan Fazli

We present MM-Narrator, a novel system leveraging GPT-4 with multimodal in-context learning for the generation of audio descriptions (AD). Unlike previous methods that primarily focused on downstream fine-tuning with short video clips,…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 Chaoyi Zhang , Kevin Lin , Zhengyuan Yang , Jianfeng Wang , Linjie Li , Chung-Ching Lin , Zicheng Liu , Lijuan Wang

Audio Description (AD) is the task of generating descriptions of visual content, at suitable time intervals, for the benefit of visually impaired audiences. For movies, this presents notable challenges -- AD must occur only during existing…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Tengda Han , Max Bain , Arsha Nagrani , Gül Varol , Weidi Xie , Andrew Zisserman

Audio description (AD) is a crucial accessibility service provided to blind persons and persons with visual impairment, designed to convey visual information in acoustic form. Despite recent advancements in multilingual machine translation…

Computation and Language · Computer Science 2024-11-25 Lukas Fischer , Yingqiang Gao , Alexa Lintner , Sarah Ebling

Movie Audio Description (AD) aims to narrate visual content during dialogue-free segments, particularly benefiting blind and visually impaired (BVI) audiences. Compared with general video captioning, AD demands plot-relevant narration with…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Xiaojun Ye , Chun Wang , Yiren Song , Sheng Zhou , Liangcheng Li , Jiajun Bu

Audio Descriptions (AD) are essential for making visual content accessible to individuals with visual impairments. Recent works have shown a promising step towards automating AD, but they have been limited to describing high-quality movie…

Multimedia · Computer Science 2025-11-13 Lipisha Chaudhary , Trisha Mittal , Subhadra Gopalakrishnan , Ifeoma Nwogu , Jaclyn Pytlarz

Generating Audio Description (AD) for movies is a challenging task that requires fine-grained visual understanding and an awareness of the characters and their names. Currently, visual language models for AD generation are limited by a lack…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Tengda Han , Max Bain , Arsha Nagrani , Gül Varol , Weidi Xie , Andrew Zisserman

Audio Description (AD) provides linguistic descriptions of movies and allows visually impaired people to follow a movie along with their peers. Such descriptions are by design mainly visual and thus naturally form an interesting data source…

Computer Vision and Pattern Recognition · Computer Science 2016-05-13 Anna Rohrbach , Atousa Torabi , Marcus Rohrbach , Niket Tandon , Christopher Pal , Hugo Larochelle , Aaron Courville , Bernt Schiele

Audio description (AD) makes video content accessible to blind and low-vision (BLV) audiences, but producing high-quality descriptions is resource-intensive. Automated AD offers scalability, and prior studies show human-in-the-loop editing…

Human-Computer Interaction · Computer Science 2026-02-04 Lana Do , Shasta Ihorn , Charity Pitcher-Cooper , Juvenal Francisco Barajas , Gio Jung , Xuan Duy Anh Nguyen , Sanjay Mirani , Ilmi Yoon

We propose a novel attentive sequence to sequence translator (ASST) for clip localization in videos by natural language descriptions. We make two contributions. First, we propose a bi-directional Recurrent Neural Network (RNN) with a finely…

Computer Vision and Pattern Recognition · Computer Science 2018-08-28 Ke Ning , Linchao Zhu , Ming Cai , Yi Yang , Di Xie , Fei Wu

With the rapid adoption of multimodal large language models (MLLMs) across diverse applications, there is a pressing need for task-centered, high-quality training data. A key limitation of current training datasets is their reliance on…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Xiaoyu Lin , Aniket Ghorpade , Hansheng Zhu , Justin Qiu , Dea Rrozhani , Monica Lama , Mick Yang , Zixuan Bian , Ruohan Ren , Alan B. Hong , Jiatao Gu , Chris Callison-Burch

Video-to-audio synthesis, which generates synchronized audio for visual content, critically enhances viewer immersion and narrative coherence in film and interactive media. However, video-to-audio dubbing for long-form content remains an…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Yehang Zhang , Xinli Xu , Xiaojie Xu , Li Liu , Yingcong Chen

Audio is the main form for the visually impaired to obtain information. In reality, all kinds of visual data always exist, but audio data does not exist in many cases. In order to help the visually impaired people to better perceive the…

Sound · Computer Science 2021-03-19 Hailong Ning , Xiangtao Zheng , Yuan Yuan , Xiaoqiang Lu

The development of Audio Description (AD) has been a pivotal step forward in making video content more accessible and inclusive. Traditionally, AD production has demanded a considerable amount of skilled labor, while existing automated…

Computer Vision and Pattern Recognition · Computer Science 2024-05-03 Peng Chu , Jiang Wang , Andre Abrantes

Audio descriptions (ADs) narrate important visual details in movies, enabling Blind and Low Vision (BLV) users to understand narratives and appreciate visual details. Existing works in automatic AD generation mostly focus on few-second…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Divy Kala , Eshika Khandelwal , Makarand Tapaswi
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