Large-scale region-based multimedia retrieval for solar images

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Abstract

In this paper we present an extensive analysis into our task of expanding our Solar Dynamics Observatory (SDO) content-based image-retrieval (CBIR) system query capabilities with region-based search features. In this first-of-its-kind functionality, for solar physics, we will be taking advantage of pre-computed image descriptors in order to generate region-based histogram-like signatures from our training set of previously identified solar events. With these signatures we then retrieve new similar solar events solely based on these scale and rotation invariant signatures. In this paper we present our proposed methodology and our extensive experimental setup with retrieval results. Our multimedia retrieval mechanism will be extensively tested with multiple variants of our signatures, multiple similarity measures, and finally validated using classification algorithms. © 2014 Springer International Publishing.

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Banda, J. M., & Angryk, R. A. (2014). Large-scale region-based multimedia retrieval for solar images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8467 LNAI, pp. 649–661). Springer Verlag. https://doi.org/10.1007/978-3-319-07173-2_55

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