On Using Multiple Disabilities Profiles to Adapt Multimedia Documents

Author:

Saighi Asma1ORCID,Laboudi Zakaria1ORCID,Roose Philippe2,Laborie Sébastien3,Ghoualmi-Zine Nassira4ORCID

Affiliation:

1. ReLa(CS)2 Laboratory, University of Oum El Bouaghi, Oum El Bouaghi, Algeria

2. E2S UPPA, University of Pau, Pau, Pyrénées-Atlantiques, France

3. Université de Pau et des Pays de l'Adour, Pau, Pyrénées-Atlantiques, France

4. Networks and Systems Laboratory, Badji Mokhtar University-Annaba, Annaba, Algeria

Abstract

Currently, advanced technological hardware can offer mobile devices which fits in the hand with a capacity to consult documents at anytime and anywhere. Multiple user context constraints as well as mobile device capabilities may involve the adaptation of multimedia content. In this article, the authors propose a new graph-based method for adapting multimedia documents in complex situations. Each contextual situation could correspond to a physical handicap and therefore triggers an adaptation action using ontological reasoning. Consequently, when several contextual situations are identified, this leads to multiple disabilities and may give rise to inconsistency between triggered actions. Their method allows modeling relations between adaptation-actions to select the compatible triggerable ones. In order to evaluate the feasibility and the performance of their proposal, an experimental study has been made on some real scenarios. When tested and compared with some existing approaches, their proposal showed improvements according to various criteria.

Publisher

IGI Global

Subject

General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multimedia Adaptation in Ubiquitous Systems: Literature Review, Critical Analysis and Future Trends;12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”;2023

2. An adaptive context-aware optimization framework for multimedia adaptation service selection;Neural Computing and Applications;2021-10-29

3. Efficient Service Selection in Multimedia Documents Adaptation Processes;Pattern Recognition and Artificial Intelligence;2021

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