TY - CONF T1 - Classifying Computer Generated Charts T2 - Content-Based Multimedia Indexing, 2007. CBMI '07. International Workshop on Y1 - 2007 A1 - Prasad,V. S.N A1 - Siddiquie,B. A1 - Golbeck,J. A1 - Davis, Larry S. KW - algorithm;scale KW - analysis;visual KW - classification;image KW - database;image KW - databases; KW - feature KW - Internet;bar-chart;curve-plot;image KW - invariant KW - match KW - matching;image KW - relationship;surface-plot;Internet;image KW - representation;image KW - segmentation;pie-chart;pyramid KW - segmentation;statistical KW - transform;scatter-plot;spatial AB - 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, curve-plots, 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. Each image is represented by sets of feature vectors of each modality. The similarity between two images is measured by the overlap in the distribution of the features -measured using the Pyramid Match algorithm. A test image is classified based on its similarity with training images from the categories. The approach is tested with a database of images collected from the Internet. JA - Content-Based Multimedia Indexing, 2007. CBMI '07. International Workshop on M3 - 10.1109/CBMI.2007.385396 ER -