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Classifying Computer Generated Charts
2007
2007 International Workshop on Content-Based Multimedia Indexing
We present an approach for classifying images of charts based on the shape and spatial relationships of their primitives. Five categories are considered: bar-charts, curveplots, pie-charts, scatter-plots and surface-plots. We introduce two novel features to represent the structural information based on (a) region segmentation and (b) curve saliency. The local shape is characterized using the Histograms of Oriented Gradients (HOG) and the Scale Invariant Feature Transform (SIFT) descriptors.
doi:10.1109/cbmi.2007.385396
dblp:conf/cbmi/VitaladevuniSGD07
fatcat:auh6lswykbfv7ch5x4lv3xbl6u