Automatic understanding of images: integrated syntactic and semantic analysis of music notation

被引：0
|
作者：
Homenda, Wladyslaw [1 ]
机构：
[1] Warsaw Univ Technol, Fac Math & Informat Sci, PL-00661 Warsaw, Poland
来源：
2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper introduces an approach to image processing and recognition based on the perecption of images as subjects being exchanged in the mean-computer communication. The approach reveals the parallel syntactic and semantic attempts to automatic image understanding. Both attempts are reflected in the paradigms of information granulation and granular computing. The parallel syntactic and semantic processing of images allows for solving problems raised by difficulties and complexity of the detailed syntactic description of images as well as difficulties of detailed semantic analysis. The study presented in this paper is cast on the practical task of the music notation recognition.
引用
收藏
页码：3026 / 3033
页数：8
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