|
Records |
Links |
|
Author |
Minesh Mathew; Ruben Tito; Dimosthenis Karatzas; R.Manmatha; C.V. Jawahar |
|
|
Title |
Document Visual Question Answering Challenge 2020 |
Type |
Conference Article |
|
Year |
2020 |
Publication |
33rd IEEE Conference on Computer Vision and Pattern Recognition – Short paper |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
This paper presents results of Document Visual Question Answering Challenge organized as part of “Text and Documents in the Deep Learning Era” workshop, in CVPR 2020. The challenge introduces a new problem – Visual Question Answering on document images. The challenge comprised two tasks. The first task concerns with asking questions on a single document image. On the other hand, the second task is set as a retrieval task where the question is posed over a collection of images. For the task 1 a new dataset is introduced comprising 50,000 questions-answer(s) pairs defined over 12,767 document images. For task 2 another dataset has been created comprising 20 questions over 14,362 document images which share the same document template. |
|
|
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 |
CVPR |
|
|
Notes |
DAG; 600.121 |
Approved |
no |
|
|
Call Number |
Admin @ si @ MTK2020 |
Serial |
3558 |
|
Permanent link to this record |
|
|
|
|
Author |
Josep Llados |
|
|
Title |
Computer Vision: Progress of Research and Development |
Type |
Book Whole |
|
Year |
2006 |
Publication |
1st CVC Internal Workshop Computer Vision: Progress of Research and Development, |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
J. Llados (ed.), |
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
84-933652-8-9 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CVCRD |
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
DAG @ dag @ Lla2006b |
Serial |
766 |
|
Permanent link to this record |
|
|
|
|
Author |
Ariel Amato; Angel Sappa; Alicia Fornes; Felipe Lumbreras; Josep Llados |
|
|
Title |
Divide and Conquer: Atomizing and Parallelizing A Task in A Mobile Crowdsourcing Platform |
Type |
Conference Article |
|
Year |
2013 |
Publication |
2nd International ACM Workshop on Crowdsourcing for Multimedia |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
21-22 |
|
|
Keywords |
|
|
|
Abstract |
In this paper we present some conclusions about the advantages of having an efficient task formulation when a crowdsourcing platform is used. In particular we show how the task atomization and distribution can help to obtain results in an efficient way. Our proposal is based on a recursive splitting of the original task into a set of smaller and simpler tasks. As a result both more accurate and faster solutions are obtained. Our evaluation is performed on a set of ancient documents that need to be digitized. |
|
|
Address |
Barcelona; October 2013 |
|
|
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 |
978-1-4503-2396-3 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CrowdMM |
|
|
Notes |
ADAS; ISE; DAG; 600.054; 600.055; 600.045; 600.061; 602.006 |
Approved |
no |
|
|
Call Number |
Admin @ si @ SLA2013 |
Serial |
2335 |
|
Permanent link to this record |
|
|
|
|
Author |
Ali Furkan Biten; R. Tito; Andres Mafla; Lluis Gomez; Marçal Rusiñol; M. Mathew; C.V. Jawahar; Ernest Valveny; Dimosthenis Karatzas |
|
|
Title |
ICDAR 2019 Competition on Scene Text Visual Question Answering |
Type |
Conference Article |
|
Year |
2019 |
Publication |
3rd Workshop on Closing the Loop Between Vision and Language, in conjunction with ICCV2019 |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
This paper presents final results of ICDAR 2019 Scene Text Visual Question Answering competition (ST-VQA). ST-VQA introduces an important aspect that is not addressed
by any Visual Question Answering system up to date, namely the incorporation of scene text to answer questions asked about an image. The competition introduces a new dataset comprising 23, 038 images annotated with 31, 791 question / answer pairs where the answer is always grounded on text instances present in the image. The images are taken from 7 different public computer vision datasets, covering a wide range of scenarios.
The competition was structured in three tasks of increasing difficulty, that require reading the text in a scene and understanding it in the context of the scene, to correctly answer a given question. A novel evaluation metric is presented, which elegantly assesses both key capabilities expected from an optimal model: text recognition and image understanding. A detailed analysis of results from different participants is showcased, which provides insight into the current capabilities of VQA systems that can read. We firmly believe the dataset proposed in this challenge will be an important milestone to consider towards a path of more robust and general models that
can exploit scene text to achieve holistic image understanding. |
|
|
Address |
Sydney; Australia; September 2019 |
|
|
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 |
CLVL |
|
|
Notes |
DAG; 600.129; 601.338; 600.135; 600.121 |
Approved |
no |
|
|
Call Number |
Admin @ si @ BTM2019a |
Serial |
3284 |
|
Permanent link to this record |
|
|
|
|
Author |
Marçal Rusiñol; Lluis Pere de las Heras; Joan Mas; Oriol Ramos Terrades; Dimosthenis Karatzas; Anjan Dutta; Gemma Sanchez; Josep Llados |
|
|
Title |
CVC-UAB's participation in the Flowchart Recognition Task of CLEF-IP 2012 |
Type |
Conference Article |
|
Year |
2012 |
Publication |
Conference and Labs of the Evaluation Forum |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
Roma |
|
|
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 |
CLEF |
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
Admin @ si @ RHM2012 |
Serial |
2072 |
|
Permanent link to this record |
|
|
|
|
Author |
Stepan Simsa; Michal Uricar; Milan Sulc; Yash Patel; Ahmed Hamdi; Matej Kocian; Matyas Skalicky; Jiri Matas; Antoine Doucet; Mickael Coustaty; Dimosthenis Karatzas |
|
|
Title |
Overview of DocILE 2023: Document Information Localization and Extraction |
Type |
Conference Article |
|
Year |
2023 |
Publication |
International Conference of the Cross-Language Evaluation Forum for European Languages |
Abbreviated Journal |
|
|
|
Volume |
14163 |
Issue |
|
Pages |
276–293 |
|
|
Keywords |
Information Extraction; Computer Vision; Natural Language Processing; Optical Character Recognition; Document Understanding |
|
|
Abstract |
This paper provides an overview of the DocILE 2023 Competition, its tasks, participant submissions, the competition results and possible future research directions. This first edition of the competition focused on two Information Extraction tasks, Key Information Localization and Extraction (KILE) and Line Item Recognition (LIR). Both of these tasks require detection of pre-defined categories of information in business documents. The second task additionally requires correctly grouping the information into tuples, capturing the structure laid out in the document. The competition used the recently published DocILE dataset and benchmark that stays open to new submissions. The diversity of the participant solutions indicates the potential of the dataset as the submissions included pure Computer Vision, pure Natural Language Processing, as well as multi-modal solutions and utilized all of the parts of the dataset, including the annotated, synthetic and unlabeled subsets. |
|
|
Address |
Thessaloniki; Greece; September 2023 |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CLEF |
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
Admin @ si @ SUS2023a |
Serial |
3924 |
|
Permanent link to this record |
|
|
|
|
Author |
Ernest Valveny; Miquel Ferrer |
|
|
Title |
Application of Graph Embedding to Solve Graph Matchin Problems |
Type |
Conference Article |
|
Year |
2008 |
Publication |
Colloque International Francophone sur l’Ecrit et le Document |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
13–18 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
Rouen (France) |
|
|
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 |
CIFED’08 |
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
DAG @ dag @ VaF2008 |
Serial |
1063 |
|
Permanent link to this record |
|
|
|
|
Author |
Muhammad Muzzamil Luqman; Thierry Brouard; Jean-Yves Ramel; Josep Llados |
|
|
Title |
Recherche de sous-graphes par encapsulation floue des cliques d'ordre 2: Application à la localisation de contenu dans les images de documents graphiques |
Type |
Conference Article |
|
Year |
2012 |
Publication |
Colloque International Francophone sur l'Écrit et le Document |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
149-162 |
|
|
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 |
CIFED |
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
Admin @ si @ LBR2012 |
Serial |
2382 |
|
Permanent link to this record |
|
|
|
|
Author |
Muhammad Muzzamil Luqman; Thierry Brouard; Jean-Yves Ramel; Josep Llados |
|
|
Title |
Vers une approche foue of encapsulation de graphes: application a la reconnaissance de symboles |
Type |
Conference Article |
|
Year |
2010 |
Publication |
Colloque International Francophone sur l'Écrit et le Document |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
169-184 |
|
|
Keywords |
Fuzzy interval; Graph embedding; Bayesian network; Symbol recognition |
|
|
Abstract |
We present a new methodology for symbol recognition, by employing a structural approach for representing visual associations in symbols and a statistical classifier for recognition. A graphic symbol is vectorized, its topological and geometrical details are encoded by an attributed relational graph and a signature is computed for it. Data adapted fuzzy intervals have been introduced for addressing the sensitivity of structural representations to noise. The joint probability distribution of signatures is encoded by a Bayesian network, which serves as a mechanism for pruning irrelevant features and choosing a subset of interesting features from structural signatures of underlying symbol set, and is deployed in a supervised learning scenario for recognizing query symbols. Experimental results on pre-segmented 2D linear architectural and electronic symbols from GREC databases are presented. |
|
|
Address |
Sousse, Tunisia |
|
|
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 |
CIFED |
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
DAG @ dag @ LBR2010a |
Serial |
1293 |
|
Permanent link to this record |
|
|
|
|
Author |
Herve Locteau; Sebastien Mace; Ernest Valveny; Salvatore Tabbone |
|
|
Title |
Extraction des pieces de un plan de habitation |
Type |
Conference Article |
|
Year |
2010 |
Publication |
Colloque Internacional Francophone de l´Ecrit et le Document |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
1–12 |
|
|
Keywords |
|
|
|
Abstract |
In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results. |
|
|
Address |
Sousse, Tunisia |
|
|
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 |
CIFED |
|
|
Notes |
DAG |
Approved |
no |
|
|
Call Number |
DAG @ dag @ LMV2010 |
Serial |
1440 |
|
Permanent link to this record |