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It is strange, says English, we use visual words to describe what we hear.
Bag of visual words.
We first compute the distance matrix of visual words.
In our experiments we use Textons as visual words.
BoW [3] computes a global histogram of visual words.
This combination makes the visual words more discriminative.
Similar(5)
Secondly, features are sampled and clustered into k-visual words.
The "bag-of-visual words" approach recently demonstrated a very good performance in CBIR [ 45, 46].
This bag-of-visual-words is used for all experiments.
Originally, bag-of-visual-words and tf-idf weighting method is used in text retrieval.
The bag-of-visual-words (BoVW) model based on SIFT extraction is proposed in [10].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com