(a) A database containing 10,000 color images (each image of size =32by32 ). Explain the steps to produce an indexed-color histogram Feature-Vector of length 64 for each image. (Assume you are given a unified color-map (LUT) to use for all images) (1) (b) For the given 8-by-8 image block, construct the GLCM matrix and calculate the energy and contrast values using "3 levels" of quantization (explain the quantization used). (3) (c) Using both the indexed-color features in (a), and the GLCM features for in (b), what would be the feature vector length for each image? (1) (d) Suppose such feature vectors are extracted for all the 10,000 images in the database, and a new query arrives, what are the steps required to find the closest 10 database images to this query? (1) (a) A database containing 10,000 color images (each image of size =32by32 ). Explain the steps to produce an indexed-color histogram Feature-Vector of length 64 for each image. (Assume you are given a unified color-map (LUT) to use for all images) (1) (b) For the given 8-by-8 image block, construct the GLCM matrix and calculate the energy and contrast values using "3 levels" of quantization (explain the quantization used). (3) (c) Using both the indexed-color features in (a), and the GLCM features for in (b), what would be the feature vector length for each image? (1) (d) Suppose such feature vectors are extracted for all the 10,000 images in the database, and a new query arrives, what are the steps required to find the closest 10 database images to this query? (1)