Abstract
I analyze the information content of scene labels and provide a measure for the complexity of line drawings. The Huffman-Clowes label set is found to contain surprisingly little additional information as compared to more basic label sets. The complexity of a line drawing is measured in terms of the amount of local labeling required to determine global labeling. A bound is obtained on the number of lines which must be labeled before a full labeling of a line drawing is uniquely determined. Methods are provided for obtaining subsets of lines whose labeling is sufficient to imply the labeling of the remaining lines. I present an algorithm which combines local sensory probing with knowledge of labeling constraints to proceed directly to a labeling analysis of a given scene.
| Original language | English |
|---|---|
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | Artificial Intelligence |
| Volume | 15 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 1980 |
| Externally published | Yes |