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Cheng-Wen Yan

dblp:04/9375 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 67% Data models and query languages · 33%
Theoretical computer science
1 paper
Algorithms and data structures · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › image retrieval
content-based image retrieval
0.011987
Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987
Information retrieval › multimedia analysis and retrieval › multimedia indexing
iconic indexing
0.011987
Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987
Data models and query languages › query language design
pictorial query language
0.011987
Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987
Algorithms and data structures › sequence algorithms › string algorithms
string matching
0.011987
Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987

Methods — techniques the papers use, named apart from their topics

symbolic picture representation · 0.02-d string encoding · 0.0
YearPublicationVenuePosition
1987 Iconic Indexing by 2-D Strings
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.
Shi-Kuo Chang, Qing-Yun Shi, Cheng-Wen Yan
IEEE Trans. Pattern Anal. Mach. Intell.3