|The server enables upload of images and video sequences, which will be analysed consecutively.
Videos will be decomposed into sequence of images first, which will processed. The image processing is divided into several modular phases (segmentation, segment classification, object detection), which can be added or modified as needed. It is possible to query the analysed data, e.g. in following ways:|
The system also allows to define so-called "tags" in the form of predefined queries and logical combinations of them. An image/video is tagged if it satisfies defined query.
- Does the image/video contain given type of object, e.g. car, pedestrian, traffic sign etc?
- Does the image/video contain given type of area, e.g. grass, asphalt, sky, fire etc?
- Are predefined relations between objects and areas in the image/video valid? E.g. adjacency, presence etc.
Services provided by the server are useful in e.g. crisis management, when it is useful to sort images and videos according to predefined (crisis) scenarios.
Implemented in Python, C, C++ and XML. The target operation system is Unix (must include Python 2.6 interpreter, Twisted network framework and C/C++ compilers). The server-client communication uses HTTP protocol, the server responses are either images/videos or XML stuctures.
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