February 2020
Intermediate to advanced
372 pages
9h 26m
English
BoW is a concept that was not initially intended for computer vision; rather, we use an evolved version of this concept in the context of computer vision. Let's first talk about its basic version, which – as you may have guessed – originally belongs to the field of language analysis and information retrieval.
BoW is the technique by which we assign a weight or count to each word in a series of documents; we then represent these documents with vectors of these counts. Let's look at an example, as follows: