@inbook{918bf3c02c6c438d9afcf6de5922effa,
title = "Efficient indexing for Query by String text retrieval",
abstract = "This paper deals with Query By String word spotting in scene images. A hierarchical text segmentation algorithm based on text specific selective search is used to find text regions. These regions are indexed per character n-grams present in the text region. An attribute representation based on Pyramidal Histogram of Characters (PHOC) is used to compare text regions with the query text. For generation of the index a similar attribute space based Pyramidal Histogram of character n-grams is used. These attribute models are learned using linear SVMs over the Fisher Vector [1] representation of the images along with the PHOC labels of the corresponding strings.",
author = "Ghosh, {Suman K.} and Lluis Gomez and Dimosthenis Karatzas and Ernest Valveny",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",
year = "2015",
month = nov,
day = "20",
doi = "10.1109/ICDAR.2015.7333961",
language = "English",
series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",
pages = "1236--1240",
booktitle = "13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings",
}