Aysylu Gabdulkhakova

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This paper presents an object-based method for analysing the content drawn by graphical operators in natively digital PDF documents. We propose that graphical content in a document can be classified either as structural or non-structural and present an output model for our analysis result. Heuristic techniques are used to group the instructions into regions(More)
In contrast to the existing approaches for document analysis and understanding this paper represents a system that considers a logical role for graphic content in predominantly textual, born digital PDF documents. This work was inspired by the idea of using structural graphic objects in order to clarify the logical layout even of complex mostly graphic(More)
Kurzfassung. Taking an inspiration from psychological studies of visual attention, the contribution of this paper lies in prediction of the critical points of the trajectory using the structure of a scene and physical motion model. On one side, we present our approach for video analysis that differs from traditional tracking techniques by predicting future(More)
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