Question 12 Marked out of 12.00 Not yet answered p Flag question Given a query image Q and three database images A, B and C shown above, each image is divided into 3 by 3 regions where the color (black, white, grey) in each region signifies the visual word of this region. Use the Bag-of-Words (BOW) model to encode these images into vectors and compute Euclidean distance from Q to A, B, and C. Notice we penalize visual words that commonly occur in many images: we compute the accurances of the three visual words over three database images and give a weight of 1,0.75 and 0.5 for visual words occuring only in one image, two images, and all three images, respectively. These weights should be multiplied back to corresponding visual word frequencies in the encoded vector for every image. ANSWER: The Euclidean distance from Q to A is. 2 decimal places) The Euclidean distance from Q to Bis: (to 2 decimal places) The Eucldiean distance from Q to Cis: 2 decimal places) (to (to