Paper Info
Title
MultiDIAS - A Hierarchical Multi-layered Document Image Annotation System.
Abstract
Content of the document images are often shows hierarchical multi-layered tree structure. Further, the algorithms for document image applications like line detection, paragraph detection, word recognition, layout analysis etc. require pixel level annotation. In this paper, a Multi-layered Document Image Annotation System (MultiDIAS) has been introduced. The proposed system simultaneously provide a platform for hierarchical and pixel level annotation of document. MultiDIAS label the document image in four hierarchical layers (layout type, entity type, line type, word type) assigned by the user. The output generated are four ground-truth images and an XML file representing the metadata information. The MultiDIAS is tested on a complex handwritten manuscript written by renowned film director Satyajit Ray for the movie ‘Goopi Gyne Bagha Byne’. This annotated data generated using MultiDIAS can further be used in a wide range of applications of document image understanding and analysis.
Year
DOI
Venue
2018
10.1007/978-981-13-9361-7_1
DAR@ICVGIP
Field
DocType
Citations 
Metadata,Automatic image annotation,Annotation,XML,Information retrieval,Computer science,Word recognition,Paragraph,Tree structure,Pixel
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Arnab Poddar162.13
Rohan Mukherjee293.17
Jayanta Mukhopadhyay37226.05
Prabir Kumar Biswas441039.88