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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) 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 is a narrated commentary designed to aid vision-impaired audiences in perceiving key visual elements in a video. While short-form video understanding has advanced rapidly, a solution for maintaining coherent long-term…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Adrienne Deganutti , Simon Hadfield , Andrew Gilbert

Current AI writing support tools are largely designed for individuals, complicating collaboration when co-writers must leave the shared workspace to use AI and then communicate and reintegrate results. We propose integrating AI agents…

Human-Computer Interaction · Computer Science 2026-02-24 Florian Lehmann , Krystsina Shauchenka , Daniel Buschek

Dense video captioning is a task of localizing interesting events from an untrimmed video and producing textual description (captions) for each localized event. Most of the previous works in dense video captioning are solely based on visual…

Computer Vision and Pattern Recognition · Computer Science 2020-05-07 Vladimir Iashin , Esa Rahtu

"Scene description" applications that describe visual content in a photo are useful daily tools for blind and low vision (BLV) people. Researchers have studied their use, but they have only explored those that leverage remote sighted…

Human-Computer Interaction · Computer Science 2025-03-13 Ricardo Gonzalez , Jazmin Collins , Shiri Azenkot , Cynthia Bennett

Blind or Low-Vision (BLV) users often rely on audio descriptions (AD) to access video content. However, conventional static ADs can leave out detailed information in videos, impose a high mental load, neglect the diverse needs and…

Human-Computer Interaction · Computer Science 2024-02-28 Zheng Ning , Brianna L. Wimer , Kaiwen Jiang , Keyi Chen , Jerrick Ban , Yapeng Tian , Yuhang Zhao , Toby Jia-Jun Li

Auditory attention decoding (AAD) is a technique used to identify and amplify the talker that a listener is focused on in a noisy environment. This is done by comparing the listener's brainwaves to a representation of all the sound sources…

Audio and Speech Processing · Electrical Eng. & Systems 2023-02-14 Cong Han , Vishal Choudhari , Yinghao Aaron Li , Nima Mesgarani

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

Audiobook interpretations are attracting increasing attention, as they provide accessible and in-depth analyses of books that offer readers practical insights and intellectual inspiration. However, their manual creation process remains…

Computation and Language · Computer Science 2025-12-30 Minjiang Huang , Jipeng Qiang , Yi Zhu , Chaowei Zhang , Xiangyu Zhao , Kui Yu

Automated audio captioning is a cross-modal translation task that aims to generate natural language descriptions for given audio clips. This task has received increasing attention with the release of freely available datasets in recent…

Audio and Speech Processing · Electrical Eng. & Systems 2022-09-28 Xinhao Mei , Xubo Liu , Mark D. Plumbley , Wenwu Wang

People work with AI systems to improve their decision making, but often under- or over-rely on AI predictions and perform worse than they would have unassisted. To help people appropriately rely on AI aids, we propose showing them behavior…

Human-Computer Interaction · Computer Science 2023-01-18 Ángel Alexander Cabrera , Adam Perer , Jason I. Hong

The rapid growth of online video content has outpaced efforts to make visual information accessible to blind and low vision (BLV) audiences. While professional Audio Description (AD) remains the gold standard, it is costly and difficult to…

Human-Computer Interaction · Computer Science 2025-08-13 Ruolin wang , Xingyu Liu , Biao Wang , Wayne Zhang , Ziqian Liao , Ziwen Li , Amy Pavel , Xiang 'Anthony' Chen

Human-AI collaborative tools attract attentions from the data storytelling community to lower the expertise barrier and streamline the workflow. The recent advance in large-scale generative AI techniques, e.g., large language models (LLMs)…

Human-Computer Interaction · Computer Science 2025-10-31 Haotian Li , Yun Wang , Huamin Qu

Natural language-based user profiles in recommender systems have been explored for their interpretability and potential to help users scrutinize and refine their interests, thereby improving recommendation quality. Building on this…

Human-Computer Interaction · Computer Science 2025-10-13 Ruixuan Sun , Junyuan Wang , Sanjali Roy , Joseph A. Konstan

Automated audio captioning is a cross-modal translation task for describing the content of audio clips with natural language sentences. This task has attracted increasing attention and substantial progress has been made in recent years.…

Audio and Speech Processing · Electrical Eng. & Systems 2024-07-02 Xinhao Mei , Xubo Liu , Jianyuan Sun , Mark D. Plumbley , Wenwu Wang

There are not enough established benchmarks for the task fo speech summarization. Creating new benchmarks demands human annotation, as LLMs could embed systemic errors and bias into datasets. We test ten annotation workflows varying input…

Computation and Language · Computer Science 2026-05-19 Kaavya Chaparala , Thomas Thebaud , Jesús Villalba López , Laureano Moro-Velazquez , Peter Viechnicki , Najim Dehak

The development of AI-driven generative audio mirrors broader AI trends, often prioritizing immediate accessibility at the expense of explainability. Consequently, integrating such tools into sustained artistic practice remains a…

Sound · Computer Science 2024-07-23 Austin Tecks , Thomas Peschlow , Gabriel Vigliensoni

With the arising concerns for the AI systems provided with direct access to abundant sensitive information, researchers seek to develop more reliable AI with implicit information sources. To this end, in this paper, we introduce a new task…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Ye Zhu , Yu Wu , Yi Yang , Yan Yan

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