DocumentCode
531833
Title
Region-based caption text extraction
Author
Leon, Miriam ; Vilaplana, Veronica ; Gasull, Antoni ; Marques, Ferran
Author_Institution
Tech. Univ. of Catalonia (UPC), Barcelona, Spain
fYear
2010
fDate
12-14 April 2010
Firstpage
1
Lastpage
4
Abstract
This paper presents a method for caption text detection. The proposed method will be included in a generic indexing system dealing with other semantic concepts which are to be automatically detected as well. To have a coherent detection system, the various object detection algorithms use a common image description. In our framework, the image description is a hierarchical region-based image model. The proposed method takes advantage of texture and geometric features to detect the caption text. Texture features are estimated using wavelet analysis and mainly applied for Text candidate spotting. In turn, Text characteristics verification is basically carry out relying on geometric features, which are estimated exploiting the region-based image model. Analysis of the region hierarchy provides the final caption text objects. The final step of Consistency analysis for output is performed by a binarization algorithm that robustly estimates the thresholds on the caption text area of support.
Keywords
feature extraction; image texture; indexing; object detection; text analysis; wavelet transforms; binarization algorithm; caption text detection; coherent detection system; consistency analysis; generic indexing system; geometric feature; hierarchical region-based image model; image description; object detection algorithm; region-based caption text extraction; text candidate spotting; text characteristics verification; texture feature estimation; wavelet analysis; Bars; Databases; Image color analysis; Merging; Optical character recognition software; Partitioning algorithms; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
Conference_Location
Desenzano del Garda
Print_ISBN
978-1-4244-7848-4
Electronic_ISBN
978-88-905328-0-1
Type
conf
Filename
5617687
Link To Document