Multimodal Fusion: A Review, Taxonomy, Open Challenges, Research Roadmap and Future Directions
| Autor: | Mohd Anas Wajid, Aasim Zafar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Neutrosophic Sets and Systems, Vol 45, Pp 96-120 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2331-6055 2331-608X |
| DOI: | 10.5281/zenodo.5485570 |
| Popis: | The present work collects a plethora of previous research work in the field of multimodal fusion which despite a lot of research could not handle the imperfections. These imperfections could be at any stage initiating from the imperfections in data and its sources to imperfections in fusion strategies. Further, the work explores various applications of Neutrosophy in the field of handling imperfections along with description of previous work in this regard. These applications include the one which addresses the notion of imperfection and uncertainty among multimodal data which is being collected for fusion. In this way, the present work tries to incorporate neutrosophic logic and its applications in the field of computer vision including multimodal data fusion and information systems. It is assumed that if the notion of uncertainty is included in multimodal research, the development of newer algorithms for solving the problems of imperfections in multimodal systems will provide impetus to the existing research in this field. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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