The Potential of a Visual Dialogue Agent In a Tandem Automated Audio Description System for Videos

Author:

Stangl Abigale1ORCID,Ihorn Shasta2ORCID,Siu Yue-Ting3ORCID,Bodi Aditya4ORCID,Castanon Mar4ORCID,Narins Lothar D4ORCID,Yoon Ilmi4ORCID

Affiliation:

1. Human Centered Design and Engineering, University of Washington, United States

2. Department of Psychology, San Francisco State University, United States

3. Northwest Center for Assistive Technology Training (CATT-NW), United States

4. Department of Computer Science, San Francisco State University, United States

Funder

Ability Central

Publisher

ACM

Reference92 articles.

1. Video Description;Aafaq Nayyer;A Survey of Methods, Datasets, and Evaluation Metrics. Comput. Surveys,2020

2. Peter Anderson , Xiaodong He , Chris Buehler , Damien Teney , Mark Johnson , Stephen Gould , and Lei Zhang . 2018 . Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE , Salt Lake City, UT, 6077–6086. https://doi.org/10.1109/CVPR. 2018.00636 10.1109/CVPR.2018.00636 Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang. 2018. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Salt Lake City, UT, 6077–6086. https://doi.org/10.1109/CVPR.2018.00636

3. VQA: Visual Question Answering

4. Rehabilitation and Employment Outcomes for Adults Who Are Blind or Visually Impaired;Bell C.;Journal of Blindness Innovation & Research,2018

5. “It’s Complicated”: Negotiating Accessibility and (Mis)Representation in Image Descriptions of Race, Gender, and Disability

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