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A Survey of Manifold Learning and Its Applications for Multimedia

Hannes Fassold
Joanneum Research – Digital, Graz, Austria
Abstract—Manifold learning is an emerging research domain of machine learning and helps to overcome the limits of standard neural networks which are restricted to Euclidean spaces. In this work, we give an introduction into manifold learning and how it is employed for important application fields in multimedia like similarity search, image classification, synthesis & enhancement, video analysis, 3D data processing and nonlinear dimension reduction. Furthermore, we present available open source software frameworks for manifold learning. One can see from this survey that manifold learning has a lot of potential for computer vision and multimedia.  

Index Terms—deep learning, manifold learning, image processing, video processing

Cite: Hannes Fassold, "A Survey of Manifold Learning and Its Applications for Multimedia," International Journal of Signal Processing Systems, Vol. 11, No. 3, pp. 11-16, September 2023. doi: 10.18178/ijsps.11.3.11-16

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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