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

页码：1869 / 1872

页数：4

共 11 条

[1] Extracting semantic information from news and sport video [J].