*Example.*
So the final image size for the left screen half (in 1080p) in this cartoonized-vectorized form is 40.1 KB. Using my new HUF1 (raw Huffman) format, of course. :) *Explanation.* *THE** **GAZELLE** **DATA** **WRANGLER* When an image is to be recognized, the "data wrangler" is Gazelle 22's first line of attack. We start with the raw true-color (24 bit) RGB image. "Data wrangling" typically includes the following operations on this image: 1. Blurring (optional) 2. Drastically reducing the number of colors (from 16 million to e.g. 64) 3. Finding all "regions" [A "region" is a maximal connected set of pixels of uniform color.] 4. Vectorization (detecting straight lines) --> Vectorized image can be saved too. 5. Compression (optional) - deleting some regions to save space 6. Image infilling (optional) - guessing pixels we dropped in step 4 or 5 [Because our current vectorization isn't perfect and can leave 1 or 2 pixel wide gaps between regions.] The list of pixels for each region is sent to the next recognition stage, for example a cache of known region shapes. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T2be76bad62b78f24-Mba14b24c69de843636c1c9a7 Delivery options: https://agi.topicbox.com/groups/agi/subscription