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  • s t e m s A S h o r t P a p e r c a n a l s o d e s c r i b e t h e s y s t e m a s s o c i a t e d w i t h a d e m o t h a t t h e a u t h o r s w i s h t o p r e s e n t a t D A S 2 0 1 6 S u b j e c t t o s u c c e s s f u l r e v i e w s S h o r t P a p e r s w i l l b e d i s t r i b u t e d t o d e l e g a t e s a t t h e w o r k s h o p i n t h e f o r m o f t h e D A S 2 0 1 6 S h o r t P a p e r s b o o k l e t A c c e s s t h e s u b m i s s i o n s y s t e m h t t p s w w w e a s y c h a i r o r g c o n f e r e n c e s c o n f d a s 2 0 1 6 T O P I C S T E C H N O L O G I E S A l g o r i t h m s f o r g r a p h i c s r e c o g n i t i o n A p p l i c a t i o n s A u t h o r i n g a n n o t a t i o n a n d p r e s e n t a t i o n s y s t e m s C a m e r a b a s e d d o c u m e n t i m a g e a n a l y s i s D o c u m e n t a n a l y s i s f o r d i g i t a l h u m a n i t i e s D o c u m e n t a n a l y s i s f o r m o b i l e d e v i c e s D o c u m e n t a n a l y s i s f o r t h e i n t e r n e t D o c u m e n t a n a l y s i s s y s t e m s f o r l i b r a r i e s a n d a r c h i v e s D o c u m e n t d a t a b a s e s a n d d i g i t a l l i b r a r i e s D o c u m e n t i m a g e a n a l y s i s D I A s y s t e m s D o c u m e n t i m a g e w a t e r m a r k i n g D o c u m e n t r e t r i e v a l s y s t e m s D o c u m e n t u n d e r s t a n d i n g F o r e n s i c d o c u m e n t a n a l y s i s H i s t o r i c a l d o c u m e n t a n a l y s i s I n f o r m a t i o n e x t r a c t i o n f r o m d o c u m e n t i m a g e s M u l t i l i n g u a l d o c u m e n t a n a l y s i s M u l t i m e d i a d o c u m e n t a n a l y s i s P a g e l a y o u t a n a l y s i s P e n b a s e d u s e r i n t e r f a c e P e r f o r m a n c e e v a l u a t i o n C O M M I T T E E S G e n e r a l C h a i r s A p o s t o l o s A n t o n a c o p o u l o s U K B a s i l i s G a t o s G r e e c e P r o g r a m C h a i r s M i c h a e l B l u m e n s t e i n A u s t r a l i a J o s e p L L a d o s S p a i n D a n L o p r e s t i U S A T u t o r i a l C h a i r s D i m o s t h e n i s K a r a t z a s S p a i n C h e n g L i n L i u C h i n a P u b l i c i t y C h a i r s G e r n o t A F i n k G e r m a n y M a r c o B u c h l e r G e r m a n y C l e m e n s N e u d e c k e r G e r m a n y P u b l i c a t i o n s C h a i r S t e f a n P l e t s c h a c h e r U K O r g a n i s i n g C o m m i t t e e C h r i s t i a n C l a u s n e r U K G e o r g e L o u l o u d i s G r e e c e C h r i s t o s P a p a d o p o u l o s U K N i k o l a o s S t a m a t o p o u l o s G r e e c e P r o g r a m C o m m i t t e e s e e h t t p w w w p r i m a r e s e a r c h o r g d a s 2 0 1 6 C O N T A C T d a s 2 0 1 6 p r i m a r e s e a r c h o r g C a l l f o r C o m p e t i t i o n s I C F H R 2 0 1 6 T h e 1 5 t h I n t e r n a t i o n a l C o n f e r e n c e o n F r o n t i e r s i n H a n d w r i t i n g R e c o g n i t i o n I C F H R 2 0 1 6 w i l l t a k e p l a c e o n 2 3 2 6 O c t o b e r 2 0 1 6 i n S h e n z h e n C h i n a M o r e i n f o r m a t i o n c a n b e f o u n d a t h t t p w w w n l p r i a a c c n i c f h r 2 0 1 6 C a l l f o r C o m p e t i t i o n s T h e I C F H R 2 0 1 6 O r g a n i z i n g C o m m i t t e e i n v i t e s p r o p o s a l s f o r c o m p e t i t i o n s t o b e h e l d w i t h i n t h e f r a m e w o r k o f t h e C o n f e r e n c e C o m p e t i t i o n s s h o u l d a i m a t e v a l u a t i n g t h e p e r f o r m a n c e o f i n d i v i d u a l m e t h o d s a n d s y s t e m s r e l a t e d t o d i f f e r e n t t a s k s i n h a n d w r i t i n g r e c o g n i t i o n P r o p o s a l s m u s t c o n t a i n t h e f o l l o w i n g i n f o r m a t i o n 1 A b r i e f d e s c r i p t i o n o f t h e c o m p e t i t i o n i n c l u d i n g w h i c h i s t h e p a r t i c u l a r t a s k u n d e r e v a l u a t i o n a n d w h y t h i s c o m p e t i t i o n c o u l d b e o f i n t e r e s t t o t h e I C F H R c o m m u n i t y I f a s i m i l a r c o m p e t i t i o n h a s b e e n h e l d i n a p r e v i o u s e d i t i o n o f I C F H R t h e n o v e l a d d i t i o n s o f t h e p r o p o s e d o n e m u s t b e c l e a r l y e x p l a i n e d 2 A d r a f t o f t h e o u t l i n e o f t h e c o m p e t i t i o n d e s c r i b i n g w h i c h d a t a i s p l a n n e d t o b e u s e d a n d h o w i t w i l l b e m a d e p u b l i c l y a v a i l a b l e h o w w i l l t h e s u b m i t t e d m e t h o d s b e e v a l u a t e d a n d w h i c h p e r f o r m a n c e m e a s u r e s w i l l b e u s e d 3 T h e n a m e s c o n t a c t i n f o r m a t i o n a n d b r i e f C V s o f t h e c o m p e t i t i o n o r g a n i z e r s o u t l i n i n g p r e v i o u s e x p e r i e n c e i n p e r f o r m a n c e e v a l u a t i o n a n d o r o r g a n i z i n g c o m p e t i t i o n s S u b m i s s i o n P r o p o s a l s s h o u l d b e s u b m i t t e d b y e l e c t r o n i c m a i l t o t h e I C F H R 2 0 1 6 C o m p e t i t i o n s C h a i r s A p o s t o l o s A n t o n a c o p o u l o s A A n t o n a c o p o u l o s p r i m a r e s e a r c h o r g V o l k e r M ä r g n e r M a e r g n e r i f n i n g t u b s d e R u l e s T h e f o l l o w i n g r u l e s w i l l a p p l y t o t h e a c c e p t e d c o m p e t i t i o n s A l l c o m p e t i t i o n s m u s t r u n w e l l i n a d v a n c e o f t h e c o n f e r e n c e D a t a s e t s u s e d i n t h e c o m p e t i t i o n s m u s t b e m a d e a v a i l a b l e a f t e r t h e e n d o f t h e c o m p e t i t i o n s E v a l u a t i o n m e t h o d o l o g i e s a n d m e t r i c s u s e d m u s t b e d e s c r i b e d i n d e t a i l s o t h a t r e s u l t s c a n b e r e p l i c a t e d l a t e r T h e n a m e o f t h e c o m p e t i t i o n m u s t b e s t a n d a r d i z e d b y s t a r t i n g w i t h I C F H R 2 0 1 6 e g I C F H R 2 0 1 6 C o m p e t i t i o n o n R e p o r t s f u l l p a p e r s o n

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  • theoretical and practical aspects of real problems of Document Analysis Systems as well as examples of successful applications This year the school aims to provide an attractive opportunity for 40 young researchers post graduate and PhD students The participants will benefit from direct interaction and discussions with the renowned speakers and practice on real problems The Summer School registration 400 Euro will cover attendance dinners coffee breaks social events and transfer from Samos airport and back Important Dates APPLICATION 1 1 14 30 4 14 or up to 40 persons 13 1 2014 29 positions left Acceptance Notification 10 days after the application Local Arrangements Information available by 15 May 2014 Summer School 26 30 May 2014 Organization Apostolos Antonacopoulos PRImA University of Salford David Doermann University of Maryland Ergina Kavallieratou University of the Aegean Josep Llados CVC University Autonoma de Barcelona Daniel Lopresti Lehigh University Jean Marc Ogier Universite de La Rochelle Ioannis Pratikakis Democritus University of Thrace Efstathios Stamatatos University of the Aegean Irini Stathi University of the Aegean Call for Papers IJDAR Special Issue on Robust Reading Special Issue on Robust Reading International Journal on Document Analysis and Recognition Aims and Scope Document Image Analysis DIA was established to address the need for the automated analysis of scanned paper documents but has evolved to incorporate a great variety of text containers including digital born Web and email images scene images and video sequences These types of text containers introduce a range of new challenges for document image analysis stemming from perspective distortions a large variety of fonts and backgrounds anti aliasing and compression artefacts Addressing the need of reading textual content in such domains entails a paradigm shift in the document analysis field that calls for a change in the definition of document to include complex unconstrained text containers as opposed to the traditional scanned paper document The IJDAR Special Issue on Robust Reading invites original work on topics related to the detection extraction and recognition of textual content in such complex unconstrained text containers Topics of Interest The list of topics includes but is not limited to Scene text localisation segmentation and recognition Reading scene and or overlaid text in video sequences Text localisation segmentation and recognition in born digital images Restoration of camera captured documents dewarping deblurring etc Quality estimation and degradation modelling of camera captured text Performance evaluation and metrics Applications such as translation reading text for the blind etc Graphical content interpretation in complex settings Submission Process Authors are encouraged to submit high quality original work that has neither appeared in nor is under consideration by other journals All submissions will be peer reviewed subject to the standards of the journal Manuscripts based on previously published conference papers must be extended substantially Manuscripts should be submitted to http www editorialmanager com ijda All submissions are strictly limited to 15 pages in IJDAR format Detailed instructions are available on the IJDAR website Please select S I Robust Reading in the menu Choose Article Type

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  • 2 Full expression recognition as in the previous competitions 3 Full expression recognition with matrices new The task 1 isolated symbols aims to compare state of the art recognizer feature extraction classification Rejection of wrong segmented symbols capability will be tested Open source solutions will be highlighted The task 2 full expressions will use exactly the same grammar and symbol set as in CROHME 2013 The task 3 matrices is an experimental benchmark to introduce a new level of difficulty in the competition with data and suitable evaluation tools The final ranking of the competition will be computed on the task 2 More information on line File Formats and Tools Training data will be provided in the same InkML format used in previous competitions Outputs will be Comma Separated Variable CSV format representing a labeled graphs LG Libraries for conversion between InkML and LG formats along with tools for evaluation and visualization are available on line Please forward this email to any researchers companies or students that may be interested in the competition Sincerely The ICFHR 2014 CROHME Organizing Committee Utpal Garain Indian Statistical Institute India Harold Mouche re University of Nantes France Christian Viard Gaudin University of Nantes France Richard Zanibbi Rochester Institute of Technology USA Call for Participation IDIPS 2014 2nd Internationdal Document Image Processing Summer School IDIPS2014 Fourni Island Greece May 26 30 2014 http samosweb aegean gr idips2014 SPONSORING TCs IAPR TC10 IAPR TC11 After the successful first Summer School on Document Image Processing IDIPS2013 http www iapr org docs newsletter 2013 03 pdf p 13 14 the second Summer School on Document Image Processing IDIPS2014 aims to provide both an objective overview and an in depth analysis of the state of the art of the Document Analysis Systems DAS and their current open issues The courses will be delivered by world renowned researchers in the field and relevant companies covering both theoretical and practical aspects of real problems of Document Analysis Systems as well as examples of successful applications This year the school aims to provide an attractive opportunity for 40 young researchers post graduate and PhD students The participants will benefit from direct interaction and discussions with the renowned speakers and practice on real problems The Summer School registration 400 Euro will cover attendance dinners coffee breaks social events and transfer from Samos airport and back Important Dates APPLICATION 1 1 14 30 4 14 or up to 40 persons 13 1 2014 29 positions left Acceptance Notification 10 days after the application Local Arrangements Information available by 15 May 2014 Summer School 26 30 May 2014 Organization Apostolos Antonacopoulos PRImA University of Salford David Doermann University of Maryland Ergina Kavallieratou University of the Aegean Josep Llados CVC University Autonoma de Barcelona Daniel Lopresti Lehigh University Jean Marc Ogier Universite de La Rochelle Ioannis Pratikakis Democritus University of Thrace Efstathios Stamatatos University of the Aegean Irini Stathi University of the Aegean Call for Papers IJDAR Special Issue on Robust Reading Special Issue on Robust

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  • l l b e p u b l i s h e d b y S p r i n g e r a s a n L N C S v o l u m e h t t p w w w i s i c a l a c i n i w c f 2 0 1 4 C A L L F O R P A P E R S W i t h t h e a d v e n t o f h i g h e n d t e c h n o l o g y f r a u d u l e n t e f f o r t s a r e o n r i s e i n m a n y a r e a s o f o u r d a i l y l i f e m a y i t b e f a k e p a p e r d o c u m e n t s f o r g e r y i n t h e d i g i t a l d o m a i n o r c o p y r i g h t i n f r i n g e m e n t I n s o l v i n g t h e r e l a t e d c r i m i n a l c a s e s u s e o f p a t t e r n r e c o g n i t i o n P R p r i n c i p l e s i s a l s o g a i n i n g a n i m p o r t a n t p l a c e b e c a u s e o f t h e i r a b i l i t y i n s u c c e s s f u l l y a s s i s t i n g t h e f o r e n s i c e x p e r t s t o s o l v e m a n y o f s u c h c a s e s T h e w o r k s h o p s o n C o m p u t a t i o n a l F o r e n s i c s g e n e r a l l y a i m s a t a d d r e s s i n g t h e t h e o r e t i c a l a n d p r a c t i c a l i s s u e s r e l a t e d t o t h i s f i e l d i e r o l e o f P R t e c h n i q u e s f o r a n a l y s i n g p r o b l e m s i n f o r e n s i c s T h e 6 t h I n t e r n a t i o n a l W o r k s h o p o n C o m p u t a t i o n a l F o r e n s i c s I W C F w i l l p u t e m p h a s i s o n f o r g e d d o c u m e n t a n a l y s i s b o t h i n h a r d c o p y a n d d i g i t a l m e d i u m A n a l y s i s o f h a n d w r i t i n g o r s i g n a t u r e d e t e c t i o n o f c h a n g e i n o r i g i n a l d o c u m e n t s w r i t e r s p e a k e r i d e n t i f i c a t i o n a n d v e r i f i c a t i o n a n d c o p y r i g h t v i o l a t i o n w i l l b e d i s c u s s e d a t l e n g t h E f f o r t i s t o b r i n g t h e p e o p l e t o g e t h e r w h o a r e w o r k i n g o n t h e s e i s s u e s i n d i f f e r e n t a r e a s i n c l u d i n g d o c u m e n t a n d s p e e c h p r o c e s s i n g m u s i c a n a l y s i s d i g i t a l s e c u r i t y f o r e n s i c s c i e n c e s e t c S o m e b r o a d a r e a s t h o u g h n o t l i m i t e d t o o f t h e w o r k s h o p a r e D e t e c t i o n o f f a k e d o c u m e n t s A u t h e n t i c a t i o n o f s e c u r i t y d o c u m e n t s C h a n g e d e t e c t i o n C o p y r i g h t p r o t e c t i o n E n c r y p t i o n a n d w a t e r m a r k i n g D i g i t a l f o r e n s i c s H a n d w r i t i n g a n d S p e e c h a n a l y s i s F a c e P a l m a n d I r i s r e c o g n i t i o n L i k e i n t h e p r e v i o u s y e a r s t h e w o r k s h o p w i l l b e a p l a c e f o r e l a b o r a t e d i s c u s s i o n o f t h e a c a d e m i c a n d i n d u s t r i a l w o r k s d o c u m e n t i n g t h e a d v a n c e s i n t h e r e l a t e d f i e l d a n d c r e a t i n g m u t u a l c o l l a b o r a t i o n o n r e l a t e d a r e a s I n t e r a c t i o n a m o n g p r a c t i t i o n e r s a n d a c a d e m i c r e s e a r c h e r s w i l l r e c e i v e s p e c i a l a t t e n t i o n i n t h i s w o r k s h o p P a p e r S u b m i s s i o n A l l s u b m i s s i o n s w i l l b e f u l l y p e e r r e v i e w e d T h e p o s t p r o c e e d i n g s w h i c h w i l l i n c l u d e a c c e p t e d p a p e r s a n d p o s t e r s w i l l b e p u b l i s h e d b y S p r i n g e r a s a n L N C S v o l u m e F u l l d e t a i l s o n t h e p r e p a r a t i o n o f s u b m i s s i o n s c a n b e f o u n d o n t h e c o n f e r e n c e w e b s i t e h t t p w w w i s i c a l a c i n i w c f 2 0 1 4 s u b m i s s i o n S u b m i s s i o n D a t e s P r o p o s a l f o r S h a r e d T a s k N o v e m b e r 1 5 2 0 1 3 A c c e p t a n c e n o t i f i c a t i o n N o v 2 2 2 0 1 3 S u b m i s s i o n s i t e o p e n J a n u a r y 1 3 2 0 1 4 S i t e o p e n e d P a p e r S u b m i s s i o n d e a d l i n e M a r c h 1 4 2 0 1 4 E x t e n d e d t o M a r c h 3 1 2 0 1 4 N o t i f i c a t i o n o f a c c e p t a n c e A p r i l 2 1 2 0 1 4 C a m e r a r e a d y s u b m i s s i o n a n d E a r l y b i r d r e g i s t r a t i o n M a y 2 1 2 0 1 4 S u b m i s s i o n d e a d l i n e f o r p o s t c o n f e r e n c e p r o c e e d i n g s O c t o b e r 2 0 1 4 S h a r e d t a s k c o m p e t i t i o n T h e I W C F 2 0 1 4 R e c o g n i t i o n o f A n d r o i d M a l w a r e P a t t e r n s R A M P c o m p e t i t i o n a i m s t o s t r e n g t h e n t h e e f f o r t s i n d e v e l o p i n g t e c h n i q u e s t o o l s a n d a l g o r i t h m s a n a l y s i s o f A n d r o i d m a l w a r e s T h e t a s k h a s b e e n c o n f i g u r e d a s a p a t t e r n a n a l y s i s b a s e d p r o b l e m T h e r e f o r e t h e c o m p e t i t i o n e n c o u r a g e s p a t t e r n r e c o g n i t i o n c o m m u n i t y t o c o m e u p w i t h o u t o f t h e b o x a n d i n n o v a t i v e s o l u t i o n s f o r m a l w a r e a n a l y s i s T h e d e t a i l s o f t h i s c o m p e t i t i o n c a n b e f o u n d a t t h e w o r k s h o p w e b s i t e O r g a n i s i n g C o m m i t t e e W o r k s h o p C h a i r s U t p a l G a r a i n I n d i a n S t a t i s t i c a l I n s t i t u t e F a i s a l S h a f a i t T h e U n i v e r s i t y o f W e s t e r n A u s t r a l i a P r o g r a m C o m m i t t e e A l i D e h g h a n t a n h a M a l a y s i a A r u n R o s s U S A C J V e e n m a n T h e N e t h e r l a n d s D a v i d D o e r m a n n U S A H i r o s h i S a k o J a p a n J e a n M a r c O g i e r F r a n c e J o s e p L L a d ó s S p a i n K a r t h i k N a n d a k u m a r S i n g a p o r e K a t r i n F r a n k e N o r w a y M a r c u s L i w i c k i S w i t z e r l a n d M a s s i m o T i s t a r e l l i I t a l y M u h a m m a d I m r a n M a l i k G e r m a n y R a j e s h K u m a r I n d i a S a g u r N S r i h a r i U S A S e r g i o D a m a s S p a i n T h o m a s W a l m a n n N o r w a y V e n u G o v i n d a r a j u U S A Y o s h i n o r i A k a o J a p a n Z e n o G e r a d t s T h e N e t h e r l a n d s C a l l f o r P a r t i c i p a t i o n I C F H R 2 0 1 4 C o m p e t i t i o n s I C F H R 2 0 1 4 A N N O U N C E M E N T O F C O M P E T I T I O N S T h e 1 4 t h I n t e r n a t i o n a l C o n f e r e n c e o n F r o n t i e r s i n H a n d w r i t i n g R e c o g n i t i o n I C F H R 2 0 1 4 V e n u e C r e t a M a r i s B e a c h R e s o r t H e r s o n i s s o s C r e t e I s l a n d G r e e c e D a t e s S e p t e m b e r 1 4 2 0 1 4 W e b s i t e h t t p w w w i c f h r 2 0 1 4 o r g T h e I C F H R 2 0 1 4 O r g a n i z i n g C o m m i t t e e w i t h p l e a s u r e i n v i t e s p a r t i c i p a t i o n s t o t h e f o l l o w i n g c o m p e t i t i o n s 1 C o m p e t i t i o n o n H a n d w r i t t e n D i g i t S t r i n g R e c o g n i t i o n i n C h a l l e n g i n g D a t a s e t s O r g a n i z e r s R o b e r t S a b l a t n i g M a r k u s D i e m S t e f a n F i e l F l o r i a n K l e b e r J o s é M S a a v e d r a J u a n M B a r r i o s M a u r i c i o P a l m a D a v i d C o n t r e r a s L u i z S O l i v e i r a C o m p e t i t i o n U R L h t t p w w w o r a n d c l e n i c f h r 2 0 1 4 h d s r 2 H a n d w r i t t e n T e x t R e c o g n i t i o n o n a t r a n S c r i p t o r i u m D a t a s e t H T R t S O r g a n i z e r s J o a n A n d r e u S á n c h e z V e r ó n i c a R o m e r o A l e j a n d r o H T o s e l l i E n r i q u e V i d a l C o m p e t i t i o n U R L h t t p w w w t r a n s c r i p t o r i u m e u h t r c o n t e s t 3 C o m p e t i t i o n o n R e c o g n i t i o n o f H a n d w r i t t e n M a t h e m a t i c a l E x p r e s s i o n s C R O H M E O r g a n i z e r s H a r o l d M o u c h è r e C h r i s t i a n V i a r d G a u d i n R i c h a r d Z a n i b b i U t p a l G a r a i n C o m p e t i t i o n U R L h t t p w w w i s i c a l a c i n c r o h m e i n d e x h t m l 4 1 s t E d i t i o n o f t h e A r a b i c W r i t e r I d e n t i f i c a t i o n C o m p e t i t i o n u s i n g A H T I D M W a n d K H A T T D a t a b a s e s O r g a n i z e r s F o u a d S l i m a n e S a m e h A w a i d a A n i s M e z g h a n i M o h a m m a d T a n v i r P a r v e z S l i m K a n o u n S a b r i A M a h m o u d V o l k e r M ä r g n e r C o m p e t i t i o n U R L h t t p w w w i f n i n g t u b s d e n e w s i c f h r 2 0 1 4 5 A N W R E S H 2 0 1 4 C o m p e t i t i o n o n W o r d R e c o g n i t i o n f r o m S e g m e n t e d H i s t o r i c a l D o c u m e n t s O r g a n i z e r s S h a w n R e i d J a c k R e e s e a n d M i c h a e l M u r d o c k C o m p e t i t i o n U R L h t t p c o l l e c t i o n s A n c e s t r y c o m A N W R E S H 2 0 1 4 6 H a n d w r i t t e n D o c u m e n t I m a g e B i n a r i z a t i o n C O m p e t i t i o n H D I B C O 2 0 1 4 O r g a n i z e r s K o n s t a n t i n o s N t i r o g i a n n i s B a s i l i s G a t o s I o a n n i s P r a t i k a k i s C o m p e t i t i o n U R L h t t p u s e r s i i t d e m o k r i t o s g r k n t i r H D I B C O 2 0 1 4 7 H a n d w r i t t e n K e y w o r d S p o t t i n g C o m p e t i t i o n H K W S 2 0 1 4 O r g a n i z e r s I o a n n i s P r a t i k a k i s K o n s t a n t i n o s Z a g o r i s B a s i l i s G a t o s G e o r g i o s L o u l o u d i s N i k o l a o s S t a m a t o p o u l o s C o m p e t i t i o n U R L h t t p v c e e d u t h g r h k w s 2 0 1 4 F o r m o r e i n f o r m a t i o n p l e a s e v i s i t t h e U R L s o f t h e c o m p e t i t i o n s C a l l f o r P a r t i c i p a t i o n I D I P S 2 0 1 4 2 n d I n t e r n a t i o n d a l D o c u m e n t I m a g e P r o c e s s i n g S u m m e r S c h o o l I D I P S 2 0 1 4 F o u r n i I s l a n d G r e e c e M a y 2 6 3 0 2 0 1 4 h t t p s a m o s w e b a e g e a n g r i d i p s 2 0 1 4 S P O N S O R I N G b y I A P R I A P R T C 1 0 I A P R T C 1 1 A f t e r t h e s u c c e s s f u l f i r s t S u m m e r S c h o o l o n D o c u m e n t I m a g e P r o c e s s i n g I D I P S 2 0 1 3 h t t p w w w i a p r o r g d o c s n e w s l e t t e r 2 0 1 3 0 3 p d f p 1 3 1 4 t h e s e c o n d S u m m e r S c h o o l o n D o c u m e n t I m a g e P r o c e s s i n g I D I P S 2 0 1 4 a i m s t o p r o v i d e b o t h a n o b j e c t i v e o v e r v i e w a n d a n i n d e p t h a n a l y s i s o f t h e s t a t e o f t h e a r t o f t h e D o c u m e n t A n a l y s i s S y s t e m s D A S a n d t h e i r c u r r e n t o p e n i s s u e s T h e c o u r s e s w i l l b e d e l i v e r e d b y w o r l d r e n o w n e d r e s e a r c h e r s i n t h e f i e l d a n d r e l e v a n t c o m p a n i e s c o v e r i n g b o t h t h e o r e t i c a l a n d p r a c t i c a l a s p e c t s o f r e a l p r o b l e m s o f D o c u m e n t A n a l y s i s S y s t e m s a s w e l l a s e x a m p l e s o f s u c c e s s f u l a p p l i c a t i o n s T h i s y e a r t h e s c h o o l a i m s t o p r o v i d e a n a t t r a c t i v e o p p o r t u n i t y f o r 4 0 y o u n g r e s e a r c h e r s p o s t g r a d u a t e a n d P h D s t u d e n t s T h e p a r t i c i p a n t s w i l l b e n e f i t f r o m d i r e c t i n t e r a c t i o n a n d d i s c u s s i o n s w i t h t h e r e n o w n e d s p e a k e r s a n d p r a c t i c e o n r e a l p r o b l e m s T h e S u m m e r S c h o o l r e g i s t r a t i o n 3 0 0 E u r o s I A P R m e m b e r s 4 0 0 E u r o s o t h e r w i l l c o v e r a t t e n d a n c e d i n n e r s c o f f e e b r e a k s s o c i a l e v e n t s a n d t r a n s f e r f r o m S a m o s a i r p o r t a n d b a c k T h e a c c o m m o d a t i o n i n s p e c i a l o f f e r s f o r t h e S u m m e r S c h o o l s t a r t s f r o m 1 5 e u r o p e r r o o m n i g h t h t t p s a m o s w e b a e g e a n g r i d i p s 2 0 1 4 i n d e x p h p a c c o m o d a t i o n I m p o r t a n t D a t e s A P P L I C A T I O N 1 1 1 4 3 0 4 1 4 o r u p t o 4 0 p e r s o n s n o e x t e n s i o n p o s s i b l e A c c e p t a n c e N o t i f i c a t i o n 1 0 d a y s a f t e r t h e a p p l i c a t i

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  • Arabic document analysis methods from segmentation to character recognition Samia Snoussi Maddouri Half day Tutorial Statistical Models for Handwriting Recognition and Retrieval Gernot A Fink For more information please visit http www icfhr2014 org page id 543 Job Advertisement PostDoc in Osaka A position of postdoc researcher research assistant or associate professor in Osaka Japan 1 Project The position is for a CREST project entitled Development of Fundamental Technologies for Innovative Use of Character Document Media and Their Application to Creating Human Harmonized Information Environment http www u pat org CREST index e shtml 2 Position A position of postdoc or research assistant professor associate professor is available at Osaka Prefecture University which may be modified upon request 3 Period of employment One year which can be extended every year until March 2016 based on the evaluation 4 Eligibility Applicants should have had or expect to have a Ph D degree in computer science or other related areas We are looking for applicants who have experiences in human computer interaction pattern recognition and computer vision and or who can work on a research on understanding a person through reading activity analysis The programming skill of C C is necessary to do the research 5 Place of work Osaka Prefecture University 1 1 Gakuencho Naka Sakai Osaka 599 8531 Japan 6 Salary It is about 6 5 million JPY for one year 46k EUR 65K USD though it depends on the experience and achievements of an applicant 7 Closing date of application 2 June 2014 8 Documents to be submitted 1 CV picture of the applicant contact address and phone number email academic and employment records reward and punishment 2 List of publications journal papers conference papers books patents 3 Reprints of representative papers up to three 4 Summary of research experiences and future directions in total up to 3 pages 5 Letters of recommendations from two persons 9 Address to send the documents Please send the above documents to Prof Koichi Kise kise cs osakafu u ac jp via email The maximum size is 5MB Call for Papers IJDAR Special Issue on Robust Reading Special Issue on Robust Reading International Journal on Document Analysis and Recognition Aims and Scope Document Image Analysis DIA was established to address the need for the automated analysis of scanned paper documents but has evolved to incorporate a great variety of text containers including digital born Web and email images scene images and video sequences These types of text containers introduce a range of new challenges for document image analysis stemming from perspective distortions a large variety of fonts and backgrounds anti aliasing and compression artefacts Addressing the need of reading textual content in such domains entails a paradigm shift in the document analysis field that calls for a change in the definition of document to include complex unconstrained text containers as opposed to the traditional scanned paper document The IJDAR Special Issue on Robust Reading invites original work on topics related to the detection

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  • Ctr United States Ergina Kavallieratou Univ of the Aegean Greece Christopher Kermorvant A2iA SA France Laurence Likforman Sulem Telecom ParisTech France Xiaofan Lin A9 com Inc United States Marcus Liwicki Deutsches Forschungszentrum fu r Ku nstliche Intelligenz GmbH Germany Daniel P Lopresti Lehigh Univ United States Umapada Pal Indian Statistical Institute India Sargur N Srihari Univ at Buffalo United States Venkata Subramaniam IBM India Research Lab India Kazem Taghva Univ of Nevada Las Vegas United States George R Thoma National Library of Medicine United States Christian Viard Gaudin Univ de Nantes France Berrin Yanikoglu Sabanci Univ Turkey Pingping Xiu Microsoft United States Richard Zanibbi Rochester Institute of Technology United States Jie Zou National Library of Medicine United States Call for Papers IWRR 2014 First International Workshop on Robust Reading in conjunction with ACCV 2014 November 1 or 2 2014 National University of Singapore Singapore Web http imlab jp iwrr2014 Interpreting written communication textual or symbolic is one of the most important human activities It is however one of the most difficult ones for computers to realize and has been recognized as an unsolved challenge In the community of Document Analysis and Recognition DAR research on unconstrained reading systems has been of central interest The series of ICDAR Robust Reading Competition RRC which is held in conjunction with biannual International Conference of Document Analysis and Recognition ICDAR has played an important role especially by providing standardized datasets that have become the de facto evaluation benchmarks in the area and providing an opportunity to compare methods Recently this kind of research especially research on reading scene text has attracted the interest and is increasingly accepted by the wider computer vision CV community Papers on related topics have been consistently presented in major CV conferences such as CVPR ICCV ECCV and ACCV In these papers ICDAR RRC datasets are used as standard measures of methods Responding to this trend we organize the First International Workshop on Robust Reading IWRR 2014 in conjunction with ACCV 2014 The workshop aims at turning the spotlight on the challenge of unconstrained reading systems The goal of the workshop is to attract the wider CV community to put research efforts on this challenging research topic as well as to motivate many researchers from the DAR community to attend ACCV 2014 Topics of Interest Topics of interest include but are not limited to Scene text localisation segmentation and recognition Reading scene and or overlaid text in video sequences Text localisation segmentation and recognition in born digital images Restoration of camera captured documents dewarping deblurring etc Quality estimation and degradation modelling of camera captured text Performance evaluation and metrics Applications such as translation reading text for the blind etc Graphical content interpretation in complex settings Submission and Publication The workshop organizers welcome technical papers with novel thought provoking work and ideas relating to the workshop topics All submissions must be formatted in ACCV 2014 format and contain original work that is not being published or under review elsewhere Each submission

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  • used including elements of comparison between them Each chapter is structured in the same way It starts with an introductory text concludes with a summary of the main points addressed in the chapter and ends with a comprehensive list of references Whenever appropriate the authors include specific sections describing and pointing to consolidated software and or reference datasets Numerous cross references between the chapters ensure this is a truly integrated work without unnecessary duplications and overlaps between chapters This reference work is intended for the use by a wide audience of readers from around the world such as graduate students researchers librarians lecturers professionals and many other people from the Springer Product Flyer For more information and a electronic Product Flyer see the books announcement at Springer online http www springer com computer image processing book 978 0 85729 858 4 otherVe rsion 978 0 85729 860 7 Call for Papers IWRR 2014 First International Workshop on Robust Reading in conjunction with ACCV 2014 November 1 or 2 2014 National University of Singapore Singapore Web http imlab jp iwrr2014 Interpreting written communication textual or symbolic is one of the most important human activities It is however one of the most difficult ones for computers to realize and has been recognized as an unsolved challenge In the community of Document Analysis and Recognition DAR research on unconstrained reading systems has been of central interest The series of ICDAR Robust Reading Competition RRC which is held in conjunction with biannual International Conference of Document Analysis and Recognition ICDAR has played an important role especially by providing standardized datasets that have become the de facto evaluation benchmarks in the area and providing an opportunity to compare methods Recently this kind of research especially research on reading scene text has attracted the interest and is increasingly accepted by the wider computer vision CV community Papers on related topics have been consistently presented in major CV conferences such as CVPR ICCV ECCV and ACCV In these papers ICDAR RRC datasets are used as standard measures of methods Responding to this trend we organize the First International Workshop on Robust Reading IWRR 2014 in conjunction with ACCV 2014 The workshop aims at turning the spotlight on the challenge of unconstrained reading systems The goal of the workshop is to attract the wider CV community to put research efforts on this challenging research topic as well as to motivate many researchers from the DAR community to attend ACCV 2014 Topics of Interest Topics of interest include but are not limited to Scene text localisation segmentation and recognition Reading scene and or overlaid text in video sequences Text localisation segmentation and recognition in born digital images Restoration of camera captured documents dewarping deblurring etc Quality estimation and degradation modelling of camera captured text Performance evaluation and metrics Applications such as translation reading text for the blind etc Graphical content interpretation in complex settings Submission Updated The workshop organizers welcome original technical papers related to the workshop topics All

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  • from OCR output and text categorization Query languages and modalities content based image retrieval CBIR for documents keyword spotting non textual query by example e g tables figures math querying by document geometry and or logical structure approximate string matching algorithms for OCR output retrieval of noisy text documents messages blogs etc cross and multi lingual retrieval Discovery and browsing pattern discovery trend mining topic modeling and analysis clustering Evaluation relevance and performance metrics evaluation protocols and benchmarking Additional topics relevance feedback impact of recognition accuracy on retrieval performance and digital libraries including systems engineering and quality assurance IMPORTANT DATES 16 July 2014 Submit abstract 28 July 2014 Full paper submission deadline Deadline extended 7 October 2014 Author notifications 1 December 2014 Submission deadline Manuscript for On site Proceedings 11 12 February 2015 Conference PAPER SUBMISSION Standard minimum paper length for all SPIE events is 6 pages However for DRR we strongly encourage the authors to submit longer papers ideally 8 12 pages The review process will take into account both the quality and the depth of development of the scientific and experimental content of a paper Papers should clearly identify the problem addressed in the work identify the original contribution s of the paper relate the paper to previous work justify and document the methods of the paper and provide substantive experimental and or theoretical evaluation The program committee will favor papers that take advantage of the opportunity to develop argue and provide compelling experimental evidence We recommend using the SPIE LaTeX template for preparing submissions http kmh lanl hansonhub com spie Submissions should be uploaded through the SPIE conference website http spie org For accepted submissions the final manuscripts to be published in the proceedings are expected also to be a minimum of 6 pages in the same format For more information visit http nlp cs byu edu drr2015 Questions concerning the conference may also be addressed to drr2015 googlegroups com CONFERENCE CHAIRS Eric K Ringger Brigham Young Univ United States Bart Lamiroy Universite de Lorraine LORIA France PROGRAM COMMITTEE Gady Agam Illinois Institute of Technology United States Sameer K Antani National Library of Medicine United States Elisa H Barney Smith Boise State Univ United States William A Barrett Brigham Young Univ United States Kathrin Berkner Ricoh Innovations Inc United States Bertrand Cou asnon Institut National des Sciences Applique es de Rennes France Herve De jean Xerox Research Ctr Europe Grenoble France Xiaoqing Ding Tsinghua Univ China David S Doermann Univ of Maryland College Park United States Jianying Hu IBM Thomas J Watson Research Ctr United States Ergina Kavallieratou Univ of the Aegean Greece Christopher Kermorvant A2iA SA France Laurence Likforman Sulem Telecom ParisTech France Xiaofan Lin A9 com Inc United States Marcus Liwicki Deutsches Forschungszentrum fu r Ku nstliche Intelligenz GmbH Germany Daniel P Lopresti Lehigh Univ United States Umapada Pal Indian Statistical Institute India Sargur N Srihari Univ at Buffalo United States Venkata Subramaniam IBM India Research Lab India Kazem Taghva Univ of Nevada Las Vegas

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  •