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Simultaneous image classification and annotation
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009Image classification and annotation are important problems in computer vision, but rarely considered together. Intuitively, annotations provide evidence for the class label, and the class label provides evidence for annotations. For example, an image of class highway is more likely annotated with words “road,” “car,” and “traffic” than words “fish ...
Chong Wang, Fei-Fei Li, David M. Blei
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Geo-based automatic image annotation
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 2012A huge number of user-tagged images are daily uploaded to the web. Recently, a growing number of those images are also geotagged. These provide new opportunities for solutions to automatically tag images so that efficient image management and retrieval can be achieved. In this paper an automatic image annotation approach is proposed.
Sergieh, HM +5 more
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Ontology-Based Image Classification and Annotation
International Journal of Pattern Recognition and Artificial Intelligence, 2020With the rapid growth of image collections, image classification and annotation has been active areas of research with notable recent progress. Bag-of-Visual-Words (BoVW) model, which relies on building visual vocabulary, has been widely used in this area.
Jalila Filali +2 more
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From Image Annotation to Image Description
2012In this paper, we address the problem of automatically generating a description of an image from its annotation. Previous approaches either use computer vision techniques to first determine the labels or exploit available descriptions of the training images to either transfer or compose a new description for the test image. However, none of them report
Ankush Gupta, Prashanth Mannem
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A caption annotation scheme for georeferencing images
Proceedings of the 5th Workshop on Geographic Information Retrieval, 2008We propose a caption annotation scheme to address the task of obtaining a geo-footprint for an image from caption text, introducing tags to identify image subject and using SpatialML to annotate and ground references to image subject location.
Barker, Emma J, Purves, Ross S
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Automatically Annotating Images with Keywords: A Review of Image Annotation Systems
Recent Patents on Computer Sciencee, 2008Chih-Fong Tsai, Chihli Hung
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Image Annotation with Decision Tree
2019This chapter introduces one of the most intuitive and traditional learning machines which is DT. The chapter begins with the introduction of DT concept and the formulation of DT using a standard ID3 algorithm with focus on splitting criterion. It is followed by describing another commonly used DT algorithm: C4.5.
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