Detection of desert percentage in Al-Hatra Region based on image contents

Autor: Saja Mallaaloo, Ghaydaa Al-Talib

Publikováno v: Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 11, Iss 2, Pp 37-51 (2014)

In this paper we benefiting from Satellite imaging to retrieve information by using its contents, which is the pixels value of the image and by using the information of groups of pixels like texture, color gradation etc….then analyzing these inform

Externí odkaz: https://doaj.org/article/3c7197299b814f37810098b7dd08ced0

Content-based information retrieval and anonymisation in data and multimedia streams

Autor: Athanasios Zygomitros

Προσωπικά δεδομένα είναι οποιαδήποτε πληροφορία μπορεί να χρησιμοποιηθεί για την αναγνώριση ενός ατόμου. Αυτά τα δεδομένα μπορούν να λ�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02a749a1488f16995312bb7d8bcd57d3
https://doi.org/10.12681/eadd/50197

Variance-preserving Deep Metric Learning for Content-based Image Retrieval

Autor: Anastasios Tefas, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj

Publikováno v: Passalis, N, Iosifidis, A, Gabbouj, M & Tefas, A 2020, ' Variance-preserving Deep Metric Learning for Content-based Image Retrieval ', Pattern Recognition Letters, vol. 131, pp. 8-14 . https://doi.org/10.1016/j.patrec.2019.11.041

Supervised deep metric learning led to spectacular results for several Content-based Information Retrieval (CBIR) applications. The success of these approaches slowly led to the belief that image retrieval and classification are just slightly differe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fde91b3309c49a0c096ea21c86451142
https://pure.au.dk/portal/da/publications/variancepreserving-deep-metric-learning-for-contentbased-image-retrieval(22c17c95-e3ea-4780-ab14-6f3c41d09c2b).html

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Content-based multimedia analytics: US and NATO research

The US and nations of the NATO Alliance are increasingly threatened by the global spread of terrorism, humanitarian crises/disaster response, and public health emergencies. These threats are influenced by the unprecedented rise of information sharing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___00893::079521808aadca4322e44aaf0b60a6d4
http://resolver.tudelft.nl/uuid:945be53e-4c81-4321-8067-3032391ec522