DocumentCode :
1125214
Title :
Iconic Indexing by 2-D Strings
Author :
Chang, Shi-Kuo ; Shi, Qing-Yun ; Yan, Cheng-Wen
Author_Institution :
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616; Department of Computer Science, University of Pittsburgh, Pittsburgh, PA 15260.
Issue :
3
fYear :
1987
fDate :
5/1/1987 12:00:00 AM
Firstpage :
413
Lastpage :
428
Abstract :
In this paper, we describe a new way of representing a symbolic picture by a two-dimensional string. A picture query can also be specified as a 2-D string. The problem of pictorial information retrieval then becomes a problem of 2-D subsequence matching. We present algorithms for encoding a symbolic picture into its 2-D string representation, reconstructing a picture from its 2-D string representation, and matching a 2-D string with another 2-D string. We also prove the necessary and sufficient conditions to characterize ambiguous pictures for reduced 2-D strings as well as normal 2-D strings. This approach thus allows an efficient and natural way to construct iconic indexes for pictures.
Keywords :
Indexing; Vocabulary; Iconic indexing; pictorial information retrieval; string matching algorithms; two-dimensional string representation;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1987.4767923
Filename :
4767923
Link To Document :
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