1. Document Analysis Group
Sophea Prum, Mickael Coustaty,
Gaël Ducerf, Van Nhu Nguyen,
Norbert Tsopze, Surapong Uttama

2. History… Starting date: Context: Scientific topics L3i members:
2000 / 2001
Context:
Administrative document analysis
Historical document analysis
Technical document analysis
Comics analysis
Scientific topics
Image analysis
Computer Vision
Pattern Recognition
Data mining
Knowledge Management
L3i members:
Permanent:8
Professor : 3
Assistant Professor : 5
PostDoc: 3
PhD:more than 10
Engineer:7
Permanent : (prof + mettre de conf)
PostDoc (+visiting researcher, etc

3. Scientific and technologic
...E D M...
Human made documents
High-level structuration
Huge amount of data
Specific features
Features extraction
Robust
Statististical
Structural
Indexing of data masses
Scientific and technologic
advances

4. Results Publications Software Collaborations with labs and companies
More than 20 journals paper (±2 per year)
More than 100 conferences (±10 per year)
Software
More than 20 libraries and applications
Collaborations with labs and companies
Europe (CVC, DKFI, …)
Asia (Vietnam, Cambodia, …)

5. Actually and future... Comics analysis Administrative documents
E-BDTheque
Administrative documents
Itesoft
SOOD
Reconomad
Historical documents
piXL

6. PEDIVHANDI Starting data: 10/2011 Duration: 3 years
Context: Education & equality chances
Collaboration:
L3i – Université de La Rochelle
IRMA – Université de Poitiers
– Université de La Rochelle
L3i members: (12)
Permanent: 6
PostDoc:
PhD: 3
Engineer: 3
Number of internship: 0

7. PEDIVHANDI Core system Audio Text Lecture video Video Sensor data
Capturing
Abstraction
Fusion & Structuration
Storage

8. PEDIVHANDI Project functionality
Automatic indexing of audiovisual educational podcasts
Definition of relevant indices of audiovisual content
Development tools for extracting indices
Development of multimodal combination strategies
To improve the quality of indexing
Construction of Rich-Media documents
Navigation in the audiovisual (Rich-Media) corpus
Efficient search engines, which rely on indexing

9. RecoNomad Starting date: 2008 Duration: 3 years Context: Eurêka
Collaboration: DocLedge, Belgium Company
L3i members: (11)
Permanents: 3
PostDoc: 1
PhD: 1
Engineers: 6
Internships: 2

10. characters recognition
RecoNomad
Project functionality ?
Step1:
Form identification
On-line signal
... ?
Step2:
Handwriting Isolated
characters recognition
Step 5:
Database
indexation
Step 4:
Writer
identification ?
Step3:
Handwriting cursive
words recognition ?

11. RecoNomad Result Perspective Publications : 5 papers for Inter. Conf.
Commercialized
Perspective
Handwriting words recognition to be completed
Industrialize and modularize the library
Vision : Create company

12. Madonne / Navidomass L3i members: Permanent: 5 / 6 PostDoc: 0 / 1
Starting date:
2003, January
Duration:
8 years
Context:
Historical document analysis
Collaboration:
8 labs from France
L3i members:
Permanent: 5 / 6
PostDoc: 0 / 1
PhD: 2 / 1
Engineer: 1 / 1
Number of internship: 6 / 4

13. Madonne Extract document content to characterize it
Text / Graphic separation
Image description using specific signatures

14. Navidomass To preserve their content To make them available
from degradations
To make them available
Online consultation
Simultaneous consultation
To navigate / retrieve similar images
To date them
To identify printer …

15. Navidomass Three-step process Image description Image annotation
Lettrine indexing and retrieval
CBIR
Image annotation
Associate keywords to images (or subpart)
Inference Rules
To reduce the semantic gap

16. Content-based Image Retrieval System
Navidomass
Lettrine Indexing and Retrieval
Content-based Image Retrieval System
feedback
Feature Extraction
Indexing
-With/ Without Segmentation
-Keypoint Localization
-Feature Extraction
Offline
Query Image
Matching
Database
Verify with ground truth
Result

17. Attribute values deduction
Navidomass
Image classification
Image Annotation
Final ontolgy -
Knowledge Database
Regions annotation
Regions
Image processing
tools
Inference rules
New attributes
Attribute values deduction
Consistency
Taxomony
...

18. Computer science knowledge
Inference rules
isLetter
Located in the center of the image
With few holes
The biggest region that satisfies the two first criteria
Computer science knowledge
Historian knowledge
Deduced knowledge
Spatial
relations
Complex
Knowledge
Database
Texture
Regions
Shapes regions
Inference
Rules
Historian
knowledge
User
Queries
Lettrine has a figurative pattern
The region has few holes
The region is light grey
The region is in the center of the lettrine
The region is not labelled as « isLetter »
isBody

19. Madonne / Navidomass Result Perspective 35 Publications
5 journals
30 conferences
Perspective
Extend this topic to other kinds of documents
piXL: Pole d’Excellence du Numérique
Meet together 7 labs and 8 Companies
2 big projects: BNF & SDP