Grid-based modelling and correction of arbitrarily warped historical document images for large-scale digitisation

2011 ◽  
Author(s):  
Po Yang ◽  
Apostolos Antonacopoulos ◽  
Christian Clausner ◽  
Stefan Pletschacher
Keyword(s):  
Large Scale ◽  
Document Images ◽  
Historical Document ◽  
Grid Based

scholarly journals The use of Gabor features for semi-automatically generated polyon-based ground truth of historical document images

2017 ◽  
Vol 32 (suppl_1) ◽  
pp. i134-i149 ◽  
Author(s):  
Hao Wei ◽  
Mathias Seuret ◽  
Marcus Liwicki ◽  
Rolf Ingold
Keyword(s):  
Ground Truth ◽  
Document Images ◽  
Historical Document ◽  
Gabor Features

Large-Scale Font Identification from Document Images

2020 ◽  
pp. 594-600
Author(s):  
Subhankar Ghosh ◽  
Prasun Roy ◽  
Saumik Bhattacharya ◽  
Umapada Pal
Keyword(s):  
Large Scale ◽  
Document Images ◽  
Font Identification

Dynamic Grid-Based Algorithms in DDM

2012 ◽  
Vol 433-440 ◽  
pp. 4297-4301
Author(s):  
Hui Ru Wang ◽  
Jing Ding
Keyword(s):  
Large Scale ◽  
Data Distribution ◽  
Experimental Results ◽  
Interactive Simulation ◽  
Distribution Management ◽  
Distributed Interactive Simulation ◽  
Dynamic Multicast ◽  
Grid Based

For large-scale distributed interactive simulation, it is important and difficult for data to communicate among thousands of objects. The purpose of the Data Distribution Management (DDM) service performs data filter and reduces irrelevant data between federations. Grid-based algorithm can only manage to filter part of irrelevant data. Experimental results show that, compare with normal grid-based algorithms, the dynamic multicast method can minimize.

Error Recovery for SLA-Based Workflows within the Business Grid

2012 ◽  
pp. 1349-1375
Author(s):  
Dang Minh Quan ◽  
Jörn Altmann ◽  
Laurence T. Yang
Keyword(s):  
Large Scale ◽  
Service Level Agreement ◽  
Error Recovery ◽  
Service Level ◽  
Small Scale ◽  
Grid System ◽  
Negative Effects ◽  
Recovery Mechanism ◽  
Recovery Mechanisms ◽  
Grid Based

This chapter describes the error recovery mechanisms in the system handling the Grid-based workflow within the Service Level Agreement (SLA) context. It classifies the errors into two main categories. The first is the large-scale errors when one or several Grid sites are detached from the Grid system at a time. The second is the small-scale errors which may happen inside an RMS. For each type of error, the chapter introduces a recovery mechanism with the SLA context imposing the goal to the mechanisms. The authors believe that it is very useful to have an error recovery framework to avoid or eliminate the negative effects of the errors.

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