Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors
IEEE Transactions on Visualization and Computer Graphics
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We present ongoing work on object category recognition from binary human outline sketches. We first define a novel set of 187 "sketchable" object categories by extracting the labels of the most frequent objects in the LabelMe dataset. In a large-scale experiment, we then gather a dataset of over 5,500 human sketches, evenly distributed over all categories. We show that by training multi-class support vector machines on this dataset, we can classify novel sketches with high accuracy. We demonstrate this in an inter-active sketching application that progressively updates its category prediction as users add more strokes to a sketch.