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This paper deals with research in the area of a novel imaging approach of web documents based on semantic inclusion of textual and non-textual informations. The main idea was to create a robust method for relevant display results into search engine based on search by keywords or images. Thus, we proposed method called Semantic Inclusion of Images and Textual (SIIT) segments. The output SIIT method...
In this paper, a novel method for object recognition based on hybrid local descriptors is presented. This method utilizes a combination of a few approaches (SIFT - Scale-invariant feature transform, SURF - Speeded Up Robust Features) and consists of second parts. The applicability of the presented hybrid methods are demonstrated on a few images from dataset. Dataset classes represent big animals situated...
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