CAPTION TEXT EXTRACTION FOR INDEXING PURPOSES USING A HIERARCHICAL REGION-BASED IMAGE MODEL

被引：7
|
作者：
Leon, Miriam [1 ]
Vilaplana, Veronica [1 ]
Gasull, Antoni [1 ]
Marques, Ferran [1 ]
机构：
[1] Tech Univ Catalonia UPC, Barcelona, Spain
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
Image segmentation; feature extraction; object recognition; text recognition;
D O I：
10.1109/ICIP.2009.5413607
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a technique for detecting caption text for indexing purposes. This technique is to be included in a generic indexing system dealing with other semantic concepts. The various object detection algorithms are required to share a common image description which, in our case, is a hierarchical region-based image model. Caption text objects are detected combining texture and geometric features, which are estimated using wavelet analysis and taking advantage of the region-based image model, respectively. Analysis of the region hierarchy provides the final caption text objects.
引用
收藏
页码：1869 / 1872
页数：4
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