IIIT Hyderabad Publications |
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Decomposing Bag of Words HistogramsAuthors: Ankit Gandhi,Karteek Alahari, C V Jawahar Conference: ICCV 2013 Date: 2013-12-01 Report no: IIIT/TR/2013/115 AbstractWe aim to decompose a global histogram representation of an image into histograms of its associated objects and re- gions. This task is formulated as an optimization problem, given a set of linear classifiers, which can effectively dis- criminate the object categories present in the image. Our decomposition bypasses harder problems associated with accurately localizing and segmenting objects. We evaluate our method on a wide variety of composite histograms, and also compare it with MRF -based solutions. In addition to merely measuring the accuracy of decomposition, we also show the utility of the estimated object and background his- tograms for the task of image classification on the PASCAL VOC 2007 dataset. Full paper: pdf Centre for Visual Information Technology |
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