# Bag of Words Image Retrival ![[visual-bow.jpg]] Naive approach based on [[Image Feature Representations#Bag of visual words]]. - Offline: construct BoW Vocabulary - Offline: All images in the dataset -> BoWs - Create description from Query image - Compare to all images in the dataset - Rank according to similarity Evaluation - [[Classification Metrics and Evaluation#Precision and Recall]] - Average precision is also used: $\mathrm{AP}=\frac{\sum_{r=1}^{N}(P(r) \times \operatorname{rel}(r))}{\text { number of relevant documents }}$ --- ## References