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The goal of this research is to develop the necessary methodology for automated recognition of generic object and concept classes in digital images.
In this chapter, the development, goals and achievements of four cycles of object and concept recognition for image retrieval are presented. This includes ...
The problem of recognizing classes of objects in images is important for annotation and indexing of image and video databases. Users of commercial CBIR ...
In this chapter, the development, goals and achievements of four cycles of object and concept recognition for image retrieval are presented. This includes the ...
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Aug 5, 2012 · Object recognition is a problem of naming an object or objects depicted in an image. Content-based Image Retrieval is the problem of finding images in a ...
Missing: Concept | Show results with:Concept
Abstract ImageCLEF introduced its first automatic annotation task for photos in. 2006. The visual object and concept detection task evolved over the years ...
Two new algorithms to recognize classes of objects and concepts in outdoor photographic scenes using a semi-supervised EM-variant algorithm and a more ...
In this chapter, the development, goals and achievements of four cycles of object and concept recognition for image retrieval are presented. This includes the ...
In this chapter, the development, goals and achievements of four cycles of object and concept recognition for image retrieval are presented, including the ...
In this thesis, we present approaches to image retrieval, object recognition, and discriminative models. For image retrieval, we evaluate a large variety of ...