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Related papers: LLM-AD: Large Language Model based Audio Descripti…

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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) function as acoustic commentaries designed to assist blind persons and persons with visual impairments in accessing digital media content on television and in movies, among other settings. As an accessibility…

Computation and Language · Computer Science 2024-10-14 Yingqiang Gao , Lukas Fischer , Alexa Lintner , Sarah Ebling

Our objective is to generate Audio Descriptions (ADs) for both movies and TV series in a training-free manner. We use the power of off-the-shelf Visual-Language Models (VLMs) and Large Language Models (LLMs), and develop visual and text…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Junyu Xie , Tengda Han , Max Bain , Arsha Nagrani , Gül Varol , Weidi Xie , Andrew Zisserman

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

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

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

Large Language Models (LLMs), AI models trained on massive text corpora with remarkable language understanding and generation capabilities, are transforming the field of Autonomous Driving (AD). As AD systems evolve from rule-based and…

Artificial Intelligence · Computer Science 2024-07-30 Yun Li , Kai Katsumata , Ehsan Javanmardi , Manabu Tsukada

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

Our objective is the automatic generation of Audio Descriptions (ADs) for edited video material, such as movies and TV series. To achieve this, we propose a two-stage framework that leverages "shots" as the fundamental units of video…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Junyu Xie , Tengda Han , Max Bain , Arsha Nagrani , Eshika Khandelwal , Gül Varol , Weidi Xie , Andrew Zisserman

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

Recently, the AI community has made significant strides in developing powerful foundation models, driven by large-scale multimodal datasets. However, for audio representation learning, existing datasets suffer from limitations in the…

Sound · Computer Science 2024-09-10 Luoyi Sun , Xuenan Xu , Mengyue Wu , Weidi Xie

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

In this era of technological advancements, several cutting-edge techniques are being implemented to enhance Autonomous Driving (AD) systems, focusing on improving safety, efficiency, and adaptability in complex driving environments.…

Computation and Language · Computer Science 2025-02-27 Md Robiul Islam

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) 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) 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

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 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

Designing complex computer-aided design (CAD) models is often time-consuming due to challenges such as computational inefficiency and the difficulty of generating precise models. We propose a novel language-guided framework for industrial…

Artificial Intelligence · Computer Science 2025-05-27 Jianxing Liao , Junyan Xu , Yatao Sun , Maowen Tang , Sicheng He , Jingxian Liao , Shui Yu , Yun Li , Hongguan Xiao
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