Το έργο με τίτλο Contextual geospatial picture understanding, management and visualization από τον/τους δημιουργό/ούς Christodoulakis Stavros, Foukarakis Michail, Tsinaraki Chrysi, Ragia Lemonia, Κανελλίδη Ελένη διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού 4.0 Διεθνές
Βιβλιογραφική Αναφορά
S. Christodoulakis, M. Foukarakis, C. Tsinaraki, L. Ragia and E. Kanellidi, "Contextual geospatial picture understanding, management and visualization," in 11th International Conference on Advances in Mobile Computing and Multimedia, 2013, pp. 156-160. doi: 10.1145/2536853.2536938
https://doi.org/10.1145/2536853.2536938
We describe SPIM (Spatial Image Management), a framework and a system that allow identification and visualization of the semantics of distant objects in nature, which exist in a picture taken by a mobile device. Semantic objects in nature are represented on 3D maps and tagged with semantic and spatial descriptors. The system functionality creates a layer on top of pictures that allows semantic user browsing in augmented geospatial images, semantic object identification in pictures, object interaction, contextual map visualization, and interlinking of information in digital libraries and the web. We present requirements of semantic geospatial descriptions, system functionality, matching algorithms and experimental results.