PT Unknown
AU Suman Ghosh
   Lluis Gomez
   Dimosthenis Karatzas
   Ernest Valveny
TI Efficient indexing for Query By String text retrieval
BT 6th IAPR International Workshop on Camera Based Document Analysis and Recognition CBDAR2015
PY 2015
BP 1236
EP 1240
DI 10.1109/ICDAR.2015.7333961
AB 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.
ER