Abstract | ||
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A well-known string-encoding of 2D pictures is to use the picture alphabet π = { u , d , r , l }, where u ( d, r , and l ) means “draw a unit-line by moving the pen up (down, right, and left) from the current point”. A word over π is k -retreat-bounded ( k ⩾0) if it describes a picture in such a manner that the maximum distance of left-moves, ignoring up- and down-moves, from a rightmost point of any partially drawn picture is bounded by k . A set of such words forms a k -retreat-bounded language. A k-retreat-bounded picture language is a set of pictures described by a k -retreat-bounded language. There is a 1-retreat-bounded regular picture language (1-retreat-bounded vertical-stripe linear picture language) for which the membership problem is NP-complete. The membership problem can be solved in O ( n 4 ) time for each k -retreat-bounded nonvertical-stripe context-free picture language. The inclusion and intersection-emptiness problems are undecidable for a 1-retreat-bounded regular picture language and a 2-retreat-bounded regular picture language. The equivalence and ambiguity problems are undecidable for 2-retreat-bounded regular picture languages. The picture recognition algorithm presented is the first polynomial-time algorithm in the literature for a reasonably large subclass of context-free picture languages and the NP-completeness and undecidability results improve the previously known such results for regular picture languages with no structural restriction imposed. |
Year | DOI | Venue |
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1994 | 10.1016/0304-3975(94)90228-3 | Theor. Comput. Sci. |
Keywords | DocType | Volume |
bounded picture language | Journal | 132 |
Issue | ISSN | Citations |
1-2 | Theoretical Computer Science | 6 |
PageRank | References | Authors |
0.51 | 10 | 1 |
Name | Order | Citations | PageRank |
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Changwook Kim | 1 | 109 | 11.88 |