ITM Web Conf.
Volume 8, 2016International Conference on Big Data and its Applications (ICBDA 2016)
|Number of page(s)||8|
|Published online||22 November 2016|
One Approach to intellectual image analysis
1 Radiophisical Research Institute, Nizhny Novgorod, Russia
2 National Research Nuclear University MEPhI, Obninsk, Russia
3 Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
* Corresponding author: firstname.lastname@example.org
This study investigated the method of semantic image analysis by using a set of neuron-like detectors of foreground objects. This method is intended to find different types of foreground objects and to determine properties of these objects. As a result of semantic analysis the semantic descriptor of the image is created. The descriptor is a set of foreground objects of the image and a set of properties for each object. The distance between images is defined as distance between their semantic descriptors. Using the concept of distance between images, “semantically similarity” between images or videos is defined.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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