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Author
Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner
Title
Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation
Type
Journal
Year
2011
Publication
e-Perimetron
Abbreviated Journal
ePER
Volume
6
Issue
4
Pages
219-229
Keywords
Abstract
By means of computer vision algorithms scanned images of maps are processed in order to extract relevant geographic information from printed coordinate pairs. The meaningful information is then transformed into georeferencing information for each single map sheet, and the complete set is compiled to produce a graphical index sheet for the map series along with relevant metadata. The whole process is fully automated and trained to attain maximum effectivity and throughput.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
DAG
Approved
no
Call Number
Admin @ si @ RRL2011a
Serial
1765
Permanent link to this record
Author
Marçal Rusiñol; Lluis Pere de las Heras; Oriol Ramos Terrades
Title
Flowchart Recognition for Non-Textual Information Retrieval in Patent Search
Type
Journal Article
Year
2014
Publication
Information Retrieval
Abbreviated Journal
IR
Volume
17
Issue
5-6
Pages
545-562
Keywords
Flowchart recognition; Patent documents; Text/graphics separation; Raster-to-vector conversion; Symbol recognition
Abstract
Relatively little research has been done on the topic of patent image retrieval and in general in most of the approaches the retrieval is performed in terms of a similarity measure between the query image and the images in the corpus. However, systems aimed at overcoming the semantic gap between the visual description of patent images and their conveyed concepts would be very helpful for patent professionals. In this paper we present a flowchart recognition method aimed at achieving a structured representation of flowchart images that can be further queried semantically. The proposed method was submitted to the CLEF-IP 2012 flowchart recognition task. We report the obtained results on this dataset.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
1386-4564
ISBN
Medium
Area
Expedition
Conference
Notes
DAG; 600.077
Approved
no
Call Number
Admin @ si @ RHR2013
Serial
2342
Permanent link to this record
Author
Marçal Rusiñol; Lluis Gomez
Title
Avances en clasificación de imágenes en los últimos diez años. Perspectivas y limitaciones en el ámbito de archivos fotográficos históricos
Type
Journal
Year
2018
Publication
Revista anual de la Asociación de Archiveros de Castilla y León
Abbreviated Journal
Volume
21
Issue
Pages
161-174
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
DAG; 600.121; 600.129
Approved
no
Call Number
Admin @ si @ RuG2018
Serial
3239
Permanent link to this record
Author
Marçal Rusiñol; Josep Llados; Gemma Sanchez
Title
Symbol Spotting in Vectorized Technical Drawings Through a Lookup Table of Region Strings
Type
Journal Article
Year
2010
Publication
Pattern Analysis and Applications
Abbreviated Journal
PAA
Volume
13
Issue
3
Pages
321-331
Keywords
Abstract
In this paper, we address the problem of symbol spotting in technical document images applied to scanned and vectorized line drawings. Like any information spotting architecture, our approach has two components. First, symbols are decomposed in primitives which are compactly represented and second a primitive indexing structure aims to efficiently retrieve similar primitives. Primitives are encoded in terms of attributed strings representing closed regions. Similar strings are clustered in a lookup table so that the set median strings act as indexing keys. A voting scheme formulates hypothesis in certain locations of the line drawing image where there is a high presence of regions similar to the queried ones, and therefore, a high probability to find the queried graphical symbol. The proposed approach is illustrated in a framework consisting in spotting furniture symbols in architectural drawings. It has been proved to work even in the presence of noise and distortion introduced by the scanning and raster-to-vector processes.
Address
Corporate Author
Thesis
Publisher
Springer-Verlag
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
1433-7541
ISBN
Medium
Area
Expedition
Conference
Notes
DAG
Approved
no
Call Number
DAG @ dag @ RLS2010
Serial
1165
Permanent link to this record
Author
Marçal Rusiñol; Josep Llados
Title
A Performance Evaluation Protocol for Symbol Spotting Systems in Terms of Recognition and Location Indices
Type
Journal Article
Year
2009
Publication
International Journal on Document Analysis and Recognition
Abbreviated Journal
IJDAR
Volume
12
Issue
2
Pages
83-96
Keywords
Performance evaluation; Symbol Spotting; Graphics Recognition
Abstract
Symbol spotting systems are intended to retrieve regions of interest from a document image database where the queried symbol is likely to be found. They shall have the ability to recognize and locate graphical symbols in a single step. In this paper, we present a set of measures to evaluate the performance of a symbol spotting system in terms of recognition abilities, location accuracy and scalability. We show that the proposed measures allow to determine the weaknesses and strengths of different methods. In particular we have tested a symbol spotting method based on a set of four different off-the-shelf shape descriptors.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
1433-2833
ISBN
Medium
Area
Expedition
Conference
Notes
DAG
Approved
no
Call Number
DAG @ dag @ RuL2009a
Serial
1166
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