Spatial encoding of visual words for image classification
Appearance-based bag-of-visual words (BoVW) models are employed to represent the frequency of a vocabulary of local features in an image. Due to their versatility, they are widely popular, although they ignore the underlying spatial context and relationships among the features. Here, we present a unified representation that enhances BoVWs with explicit local and global structure models. Three aspects of our method should be noted in comparison to the previous approaches. First, we use a...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Electronic Imaging|
|01_Liu_Spatial_Encoding_2016.pdf||1.51 MB||Adobe PDF|
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