Example: Color Histogram
• Each pixel has color ‘depth’ (e.g., 16 bits)
• Divide image into regions (e.g., 8x8 pixels)
• Create a histogram for each region (amount
of red, cyan, etc.)
• The set of histograms serves as a
quantitative representation for the image,
allowing comparisons and rankings
• Querying awkward (use QBE)