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Author |
Ahmed Mounir Gad |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Object Localization Enhancement by Multiple Segmentation Fusion |
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Report |
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2010 |
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CVC Technical Report |
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152 |
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Master's thesis |
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no |
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Admin @ si @ Mou2010 |
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1346 |
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Author |
Agnes Borras; Josep Llados |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Object Image Retrieval by Shape Content in Complex Scenes Using Geometric Constraints |
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Year |
2005 |
Publication |
Pattern Recognition And Image Analysis |
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LNCS |
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Volume |
3522 |
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Pages |
325–332 |
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This paper presents an image retrieval system based on 2D shape information. Query shape objects and database images are repre- sented by polygonal approximations of their contours. Afterwards they are encoded, using geometric features, in terms of predefined structures. Shapes are then located in database images by a voting procedure on the spatial domain. Then an alignment matching provides a probability value to rank de database image in the retrieval result. The method al- lows to detect a query object in database images even when they contain complex scenes. Also the shape matching tolerates partial occlusions and affine transformations as translation, rotation or scaling. |
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Estoril (Portugal) |
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Springer Link |
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DAG; |
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no |
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DAG @ dag @ BoL2005; IAM @ iam @ BoL2005 |
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556 |
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Author |
Marc Bolaños; Maite Garolera; Petia Radeva |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Object Discovery using CNN Features in Egocentric Videos |
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Conference Article |
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2015 |
Publication |
Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015 |
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9117 |
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67-74 |
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Object discovery; Egocentric videos; Lifelogging; CNN |
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Lifelogging devices based on photo/video are spreading faster everyday. This growth can represent great benefits to develop methods for extraction of meaningful information about the user wearing the device and his/her environment. In this paper, we propose a semi-supervised strategy for easily discovering objects relevant to the person wearing a first-person camera. The egocentric video sequence acquired by the camera, uses both the appearance extracted by means of a deep convolutional neural network and an object refill methodology that allow to discover objects even in case of small amount of object appearance in the collection of images. We validate our method on a sequence of 1000 egocentric daily images and obtain results with an F-measure of 0.5, 0.17 better than the state of the art approach. |
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Santiago de Compostela; España; June 2015 |
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LNCS |
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0302-9743 |
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978-3-319-19389-2 |
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IbPRIA |
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MILAB |
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no |
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Admin @ si @ BGR2015 |
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2596 |
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Author |
Rafael E. Rivadeneira; Henry Velesaca; Angel Sappa |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach |
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Conference Article |
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2023 |
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17th International Conference on Signal-Image Technology & Internet-Based Systems |
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This work proposes a novel approach that integrates super-resolution techniques with off-the-shelf object detection methods to tackle the problem of handling very low-resolution thermal images. The suggested approach begins by enhancing the low-resolution (LR) thermal images through a guided super-resolution strategy, leveraging a high-resolution (HR) visible spectrum image. Subsequently, object detection is performed on the high-resolution thermal image. The experimental results demonstrate tremendous improvements in comparison with both scenarios: when object detection is performed on the LR thermal image alone, as well as when object detection is conducted on the up-sampled LR thermal image. Moreover, the proposed approach proves highly valuable in camouflaged scenarios where objects might remain undetected in visible spectrum images. |
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SITIS |
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MSIAU |
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no |
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Admin @ si @ RVS2023 |
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4010 |
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Author |
Ernest Valveny; Antonio Lopez |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Numeral Recognition for Quality Control of Surgical Sachets |
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Miscellaneous |
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2003 |
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Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR´03), 379–383 |
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DAG;ADAS |
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ADAS @ adas @ VaL2003 |
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423 |
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Author |
M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Petia Radeva; David Rotger; V. Valle |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria. |
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Miscellaneous |
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2002 |
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Congreso de las Enfermedades Cardiovasculares, XXXVIII Congreso de la Sociedad Española de Cardiologia. |
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Madrid, Espanya |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ GMF2002c |
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309 |
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Author |
Yawei Li; Yulun Zhang; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li; Xiaofei Wang; Jie Hu; Yunhe Wang; Xiangyu Kong; Jinlong Wu; Dafeng Zhang; Jianxing Zhang; Shuai Liu; Furui Bai; Chaoyu Feng; Hao Wang; Yuqian Zhang; Guangqi Shao; Xiaotao Wang; Lei Lei; Rongjian Xu; Zhilu Zhang; Yunjin Chen; Dongwei Ren; Wangmeng Zuo; Qi Wu; Mingyan Han; Shen Cheng; Haipeng Li; Ting Jiang; Chengzhi Jiang; Xinpeng Li; Jinting Luo; Wenjie Lin; Lei Yu; Haoqiang Fan; Shuaicheng Liu; Aditya Arora; Syed Waqas Zamir; Javier Vazquez; Konstantinos G. Derpanis; Michael S. Brown; Hao Li; Zhihao Zhao; Jinshan Pan; Jiangxin Dong; Jinhui Tang; Bo Yang; Jingxiang Chen; Chenghua Li; Xi Zhang; Zhao Zhang; Jiahuan Ren; Zhicheng Ji; Kang Miao; Suiyi Zhao; Huan Zheng; YanYan Wei; Kangliang Liu; Xiangcheng Du; Sijie Liu; Yingbin Zheng; Xingjiao Wu; Cheng Jin; Rajeev Irny; Sriharsha Koundinya; Vighnesh Kamath; Gaurav Khandelwal; Sunder Ali Khowaja; Jiseok Yoon; Ik Hyun Lee; Shijie Chen; Chengqiang Zhao; Huabin Yang; Zhongjian Zhang; Junjia Huang; Yanru Zhang |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
NTIRE 2023 challenge on image denoising: Methods and results |
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Conference Article |
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2023 |
Publication |
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops |
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1904-1920 |
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This paper reviews the NTIRE 2023 challenge on image denoising (σ = 50) with a focus on the proposed solutions and results. The aim is to obtain a network design capable to produce high-quality results with the best performance measured by PSNR for image denoising. Independent additive white Gaussian noise (AWGN) is assumed and the noise level is 50. The challenge had 225 registered participants, and 16 teams made valid submissions. They gauge the state-of-the-art for image denoising. |
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Vancouver; Canada; June 2023 |
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CVPRW |
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MACO; CIC |
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no |
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Admin @ si @ LZT2023 |
Serial |
3910 |
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Permanent link to this record |
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Author |
Mireia Sole; Joan Blanco; Debora Gil; G. Fonseka; Richard Frodsham; Francesca Vidal; Zaida Sarrate |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Noves perspectives en l estudi de la territorialitat cromosomica de cel·lules germinals masculines: estudis tridimensionals |
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Journal |
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2017 |
Publication |
Biologia de la Reproduccio |
Abbreviated Journal |
JBR |
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15 |
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73-78 |
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In somatic cells, chromosomes occupy specific nuclear regions called chromosome territories which are involved in the
maintenance and regulation of the genome. Preliminary data in male germ cells also suggest the importance of chromosome
territoriality in cell functionality. Nevertheless, the specific characteristics of testicular tissue (presence of different
cell types with different morphological characteristics, in different stages of development and with different ploidy)
makes difficult to achieve conclusive results. In this study we have developed a methodology to approach the threedimensional
study of all chromosome territories in male germ cells from C57BL/6J mice (Mus musculus). The method
includes the following steps: i) Optimized cell fixation to obtain an optimal preservation of the three-dimensionality cell
morphology, ii) Chromosome identification by FISH (Chromoprobe Multiprobe® OctoChrome™ Murine System; Cytocell)
and confocal microscopy (TCS-SP5, Leica Microsystems), iii) Cell type identification by immunofluorescence
iv) Image analysis using Matlab scripts, v) Numerical data extraction related to chromosome features, chromosome
radial position and chromosome relative position. This methodology allows the unequivocally identification and the
analysis of the chromosome territories of all spermatogenic stages. Results will provide information about the features
that determine chromosomal position, preferred associations between chromosomes, and the relationship between chromosome
positioning and genome regulation. |
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978-84-697-3767-5 |
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IAM; 600.096; 600.145 |
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no |
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Call Number |
Admin @ si @ SBG2017c |
Serial |
2961 |
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Permanent link to this record |
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Author |
Jose Luis Alba; A. Pujol; Juan J. Villanueva |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Novel SOM-PCA Network for Face Identification. |
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Miscellaneous |
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2001 |
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Applications and Science of Neural Networks, Fuzzy Systems and Evolutonary Computation IV, SPIE´s International Symposium on Optical Science and Technology. |
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ISE @ ise @ APV2001a |
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69 |
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Author |
Hongxing Gao; Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados; R.Jain; D.Doermann |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Novel Line Verification for Multiple Instance Focused Retrieval in Document Collections |
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Conference Article |
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2015 |
Publication |
13th International Conference on Document Analysis and Recognition ICDAR2015 |
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481-485 |
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Nancy; France; August 2015 |
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ICDAR |
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DAG; 600.077; 601.223; 600.084; 600.061 |
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no |
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Admin @ si @ GRK2015 |
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2683 |
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Author |
Jose Manuel Alvarez; Antonio Lopez |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Novel Index for Objective Evaluation of Road Detection Algorithms |
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2008 |
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Intelligent Transportation Systems. 11th International IEEE Conference on, |
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815–820 |
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road detection |
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Beijing (Xina) |
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ITSC |
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ADAS |
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ADAS @ adas @ AlL2008 |
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1074 |
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Author |
Lluis Pere de las Heras; Joan Mas; Gemma Sanchez; Ernest Valveny |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Notation-invariant patch-based wall detector in architectural floor plans |
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2013 |
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Graphics Recognition. New Trends and Challenges |
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7423 |
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79--88 |
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Architectural floor plans exhibit a large variability in notation. Therefore, segmenting and identifying the elements of any kind of plan becomes a challenging task for approaches based on grouping structural primitives obtained by vectorization. Recently, a patch-based segmentation method working at pixel level and relying on the construction of a visual vocabulary has been proposed in [1], showing its adaptability to different notations by automatically learning the visual appearance of the elements in each different notation. This paper presents an evolution of that previous work, after analyzing and testing several alternatives for each of the different steps of the method: Firstly, an automatic plan-size normalization process is done. Secondly we evaluate different features to obtain the description of every patch. Thirdly, we train an SVM classifier to obtain the category of every patch instead of constructing a visual vocabulary. These variations of the method have been tested for wall detection on two datasets of architectural floor plans with different notations. After studying in deep each of the steps in the process pipeline, we are able to find the best system configuration, which highly outperforms the results on wall segmentation obtained by the original paper. |
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Springer Berlin Heidelberg |
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LNCS |
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0302-9743 |
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978-3-642-36823-3 |
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DAG; 600.045; 600.056; 605.203 |
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no |
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Admin @ si @ HMS2013 |
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2322 |
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Author |
Robert Benavente; Gemma Sanchez; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Normalized colour segmentation for human appearance description. |
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Conference Article |
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2000 |
Publication |
15 th International Conference on Pattern Recognition |
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3 |
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637-641 |
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Barcelona. |
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CAT @ cat @ BSB2000 |
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223 |
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Author |
Marçal Rusiñol; J. Chazalon; Jean-Marc Ogier |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Normalisation et validation d'images de documents capturées en mobilité |
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Conference Article |
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2014 |
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Colloque International Francophone sur l'Écrit et le Document |
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109-124 |
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Keywords |
mobile document image acquisition; perspective correction; illumination correction; quality assessment; focus measure; OCR accuracy prediction |
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Abstract |
Mobile document image acquisition integrates many distortions which must be corrected or detected on the device, before the document becomes unavailable or paying data transmission fees. In this paper, we propose a system to correct perspective and illumination issues, and estimate the sharpness of the image for OCR recognition. The correction step relies on fast and accurate border detection followed by illumination normalization. Its evaluation on a private dataset shows a clear improvement on OCR accuracy. The quality assessment
step relies on a combination of focus measures. Its evaluation on a public dataset shows that this simple method compares well to state of the art, learning-based methods which cannot be embedded on a mobile, and outperforms metric-based methods. |
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Nancy; France; March 2014 |
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CIFED |
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DAG; 601.223; 600.077 |
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no |
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Admin @ si @ RCO2014b |
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2546 |
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Author |
M. Bressan; Jordi Vitria |
![goto web page (via DOI) doi](img/doi.gif)
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Nonparametric Discriminant Analysis and Nearest Neighbor Classification |
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Journal Article |
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2003 |
Publication |
Pattern Recognition Letters |
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PRL |
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24 |
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15 |
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2743–2749 |
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Abstract |
IF: 0.809 |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2003b |
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367 |
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