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CIVR
2007
Springer

Multi-level local descriptor quantization for bag-of-visterms image representation

10 years 8 months ago
Multi-level local descriptor quantization for bag-of-visterms image representation
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approaches typically consider only one level of quantization to create the final image representation. In this view they somehow restrict the image description to one level of visual detail. We propose to build image representations from multi-level quantization of local interest point descriptors, automatically extracted from the images. The use of this new multi-level representation will allow for the description of fine and coarse local image detail in one framework. To evaluate the performance of our approach we perform scene image classification using a 13-class data set. We show that the use of information from multiple quantization levels increases the classification performance, which suggests that the different granularity captured by the multi-level quantization produces a more discriminant image repr...
Pedro Quelhas, Jean-Marc Odobez
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIVR
Authors Pedro Quelhas, Jean-Marc Odobez
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