Task 2. Matching images based on similarity (Pen & paper problem) (1 point) We have three feature vectors which are defined as = Q = [2 1 6 4 2]". A [1 2 3 4 1], B [3 1 4 1 5]" - where Q is a feature vector extracted from a query image Q, and A and B are feature vectors extracted from random images A and B in a dataset. a) Calculate the Euclidean distance and cosine similarity between Q and A and between Q and B. b) Based on the feature vectors and similarity metrics calculated in a), which image from the dataset is more similar to query image Q? Why? 2