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Wireless Mobile Communication and Healthcare. 11th EAI International Conference, MobiHealth 2022, Virtual Event, November 30 – December 2, 2022, Proceedings

Research Article

A Review on the Video Summarization and Glaucoma Detection

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-32029-3_14,
        author={Tales Correia and Ant\^{o}nio Cunha and Paulo Coelho},
        title={A Review on the Video Summarization and Glaucoma Detection},
        proceedings={Wireless Mobile Communication and Healthcare. 11th EAI International Conference, MobiHealth 2022, Virtual Event, November 30 -- December 2, 2022, Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2023},
        month={5},
        keywords={Review Glaucoma Machine learning Video summarization},
        doi={10.1007/978-3-031-32029-3_14}
    }
    
  • Tales Correia
    António Cunha
    Paulo Coelho
    Year: 2023
    A Review on the Video Summarization and Glaucoma Detection
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-031-32029-3_14
Tales Correia1, António Cunha2, Paulo Coelho1,*
  • 1: School of Technology and Management, Polytechnic of Leiria
  • 2: Escola de Ciências e Tecnologias, University of Trás-os-Montes e Alto Douro, Quinta de Prados
*Contact email: paulo.coelho@ipleiria.pt

Abstract

Glaucoma is a severe disease that arises from low intraocular pressure, it is asymptomatic in the initial stages and can lead to blindness, due to its degenerative characteristic. There isn’t any available cure for it, and it is the second most common cause of blindness in the world. Regular visits to the ophthalmologist are the best way to prevent or contain it, with a precise diagnosis performed with professional equipment. From another perspective, for some individuals or populations, this task can be difficult to accomplish, due to several restrictions, such as low incoming resources, geographical adversities, and traveling restrictions (distance, lack of means of transportation, etc.). Also, logistically, due to its dimensions, relocating the professional equipment can be expensive, thus becoming inviable to bring them to remote areas. As an alternative, some low-cost products are available in the market that copes with this need, namely the D-Eye lens, which can be attached to a smartphone and enables the capture of fundus images, presenting as major drawback lower quality imaging when compared to professional equipment. Some techniques rely on video capture to perform summarization and build a full image with the desired features. In this context, the goal of this paper is to present a review of the methods that can perform video summarization and methods for glaucoma detection, combining both to indicate if individuals present glaucoma symptoms, as a pre-screening approach.

Keywords
Review Glaucoma Machine learning Video summarization
Published
2023-05-14
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-32029-3_14
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