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Author |
Graham D. Finlayson; Javier Vazquez; Fufu Fang |
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Title |
The Discrete Cosine Maximum Ignorance Assumption |
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Conference Article |
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Year |
2021 |
Publication |
29th Color and Imaging Conference |
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13-18 |
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the performance of colour correction algorithms are dependent on the reflectance sets used. Sometimes, when the testing reflectance set is changed the ranking of colour correction algorithms also changes. To remove dependence on dataset we can
make assumptions about the set of all possible reflectances. In the Maximum Ignorance with Positivity (MIP) assumption we assume that all reflectances with per wavelength values between 0 and 1 are equally likely. A weakness in the MIP is that it fails to take into account the correlation of reflectance functions between
wavelengths (many of the assumed reflectances are, in reality, not possible).
In this paper, we take the view that the maximum ignorance assumption has merit but, hitherto it has been calculated with respect to the wrong coordinate basis. Here, we propose the Discrete Cosine Maximum Ignorance assumption (DCMI), where
all reflectances that have coordinates between max and min bounds in the Discrete Cosine Basis coordinate system are equally likely.
Here, the correlation between wavelengths is encoded and this results in the set of all plausible reflectances ’looking like’ typical reflectances that occur in nature. This said the DCMI model is also a superset of all measured reflectance sets.
Experiments show that, in colour correction, adopting the DCMI results in similar colour correction performance as using a particular reflectance set. |
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Virtual; November 2021 |
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FVF2021 |
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3596 |
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Author |
Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
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Title |
Indistinct frame detection in colonoscopy videos |
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2009 |
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Machine Vision and Image Processing Conference |
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47-52 |
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fernando @ fernando @ |
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2424 |
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Mirko Arnold; Stephan Ameling; Anarta Ghosh; Gerard Lacey |
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Title |
Quality Improvement of Endoscopy Videos |
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Conference Article |
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2011 |
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Proceedings of the 8th IASTED International Conference on Biomedical Engineering |
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723 |
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fernando @ fernando @ |
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2426 |
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Mirko Arnold; Anarta Ghosh; Glen Doherty; Hugh Mulcahy; Stephen Patchett; Gerard Lacey |
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Title |
Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy |
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2013 |
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Proceedings of the International Conference on Computer Vision Theory and Applications |
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48-53 |
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800 |
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VISIGRAPP |
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MV |
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fernando @ fernando @ |
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2427 |
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Author |
Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño |
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Title |
Texture-based Polyp Detection in Colonoscopy |
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Conference Article |
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2009 |
Publication |
Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN |
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MV;SIAI |
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fernando @ fernando @ |
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2428 |
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Author |
Fernando Vilariño; Gerard Lacey |
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Title |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
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Conference Article |
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Year |
2009 |
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in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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800 |
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MV;SIAI |
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fernando @ fernando @ |
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2430 |
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Author |
Fernando Vilariño; Gerard Lacey; Jiang Zhou; Hugh Mulcahy; Stephen Patchett |
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Title |
Automatic Labeling of Colonoscopy Video for Cancer Detection |
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Conference Article |
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2007 |
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In Proc. berian Conference, IbPRIA |
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290-297 |
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fernando @ fernando @ |
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2431 |
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Sergio Escalera; Mercedes Torres-Torres; Brais Martinez; Xavier Baro; Hugo Jair Escalante; Isabelle Guyon; Georgios Tzimiropoulos; Ciprian Corneanu; Marc Oliu Simón; Mohammad Ali Bagheri; Michel Valstar |
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Title |
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016 |
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Conference Article |
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2016 |
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29th IEEE Conference on Computer Vision and Pattern Recognition Workshops |
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We present the 2016 ChaLearn Looking at People and Faces of the World Challenge and Workshop, which ran three competitions on the common theme of face analysis from still images. The first one, Looking at People, addressed age estimation, while the second and third competitions, Faces of the World, addressed accessory classification and smile and gender classification, respectively. We present two crowd-sourcing methodologies used to collect manual annotations. A custom-build application was used to collect and label data about the apparent age of people (as opposed to the real age). For the Faces of the World data, the citizen-science Zooniverse platform was used. This paper summarizes the three challenges and the data used, as well as the results achieved by the participants of the competitions. Details of the ChaLearn LAP FotW competitions can be found at http://gesture.chalearn.org. |
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Las Vegas; USA; June 2016 |
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CVPRW |
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HuPBA;MV; |
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ETM2016 |
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2849 |
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Author |
Ernest Valveny; Salvatore Tabbone; Oriol Ramos Terrades; Emilie Jean-Marie Odile |
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Title |
Performance Characterization of Shape Descriptors for Symbol Representation |
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Conference Article |
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2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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82–83 |
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Curitiba (Brazil) |
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GREC |
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DAG @ dag @ VTR2007 |
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889 |
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Author |
Ernest Valveny; Miquel Ferrer |
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Title |
Application of Graph Embedding to Solve Graph Matchin Problems |
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2008 |
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Colloque International Francophone sur l’Ecrit et le Document |
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13–18 |
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Rouen (France) |
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CIFED’08 |
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DAG @ dag @ VaF2008 |
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1063 |
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Author |
Oriol Ramos Terrades; N. Serrano; Albert Gordo; Ernest Valveny; Alfons Juan-Ciscar |
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Title |
Interactive-predictive detection of handwritten text blocks |
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Conference Article |
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2010 |
Publication |
17th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium |
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7534 |
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75340Q–75340Q–10 |
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A method for text block detection is introduced for old handwritten documents. The proposed method takes advantage of sequential book structure, taking into account layout information from pages previously transcribed. This glance at the past is used to predict the position of text blocks in the current page with the help of conventional layout analysis methods. The method is integrated into the GIDOC prototype: a first attempt to provide integrated support for interactive-predictive page layout analysis, text line detection and handwritten text transcription. Results are given in a transcription task on a 764-page Spanish manuscript from 1891. |
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DRR |
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DAG @ dag @ TSG2010 |
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1479 |
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Author |
Salvatore Tabbone; Josep Llados |
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Title |
A Propos de la Reconnaissance de Documents Graphiques: Synthese et Perspectives |
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2007 |
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Traitement et Analyse de l’Information: Methodes et Applications |
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247–258 |
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Hammamet (Tunis) |
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TAIMA’07 |
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DAG @ dag @ TaL2007 |
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890 |
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Author |
Oriol Ramos Terrades; Ernest Valveny; Salvatore Tabbone |
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On the Combination of Ridgelets Descriptors for Symbol Recognition |
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2007 |
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Seventh IAPR International Workshop on Graphics Recognition |
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18–20 |
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Curitiba (Brazil) |
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GREC |
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DAG @ dag @ RVT2007 |
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886 |
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Author |
Marçal Rusiñol; Josep Llados |
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Title |
Efficient Logo Retrieval Through Hashing Shape Context Descriptors |
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Conference Article |
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2010 |
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9th IAPR International Workshop on Document Analysis Systems |
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215–222 |
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In this paper, we present an approach towards the retrieval of words from graphical document images. In graphical documents, due to presence of multi-oriented characters in non-structured layout, word indexing is a challenging task. The proposed approach uses recognition results of individual components to form character pairs with the neighboring components. An indexing scheme is designed to store the spatial description of components and to access them efficiently. Given a query text word (ascii/unicode format), the character pairs present in it are searched in the document. Next the retrieved character pairs are linked sequentially to form character string. Dynamic programming is applied to find different instances of query words. A string edit distance is used here to match the query word as the objective function. Recognition of multi-scale and multi-oriented character component is done using Support Vector Machine classifier. To consider multi-oriented character strings the features used in the SVM are invariant to character orientation. Experimental results show that the method is efficient to locate a query word from multi-oriented text in graphical documents. |
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Boston; USA |
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DAG @ dag @ RuL2010b |
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1434 |
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Marçal Rusiñol; Josep Llados |
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Title |
Logo Spotting by a Bag-of-words Approach for Document Categorization |
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Conference Article |
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2009 |
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10th International Conference on Document Analysis and Recognition |
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111–115 |
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In this paper we present a method for document categorization which processes incoming document images such as invoices or receipts. The categorization of these document images is done in terms of the presence of a certain graphical logo detected without segmentation. The graphical logos are described by a set of local features and the categorization of the documents is performed by the use of a bag-of-words model. Spatial coherence rules are added to reinforce the correct category hypothesis, aiming also to spot the logo inside the document image. Experiments which demonstrate the effectiveness of this system on a large set of real data are presented. |
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Barcelona; Spain |
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1520-5363 |
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978-1-4244-4500-4 |
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ICDAR |
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DAG @ dag @ RuL2009b |
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1179 |
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