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Author | Felipe Lumbreras; Ramon Baldrich; Maria Vanrell; Joan Serrat; Juan J. Villanueva | ||||
Title | Multiresolution colour texture representations for tile classification | Type | Miscellaneous | ||
Year | 1999 | Publication | Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes | Abbreviated Journal | |
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Address | Bilbao | ||||
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Notes | ADAS;CIC | Approved | no | ||
Call Number | ADAS @ adas @ LBV1999a | Serial | 3 | ||
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Author | Xavier Roca; Jordi Vitria; Maria Vanrell; Juan J. Villanueva | ||||
Title | Visual behaviours for binocular navigation with autonomous systems. | Type | Miscellaneous | ||
Year | 1999 | Publication | Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes | Abbreviated Journal | |
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Address | Bilbao | ||||
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Notes | OR;ISE;CIC;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ RVV1999a | Serial | 13 | ||
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Author | Ricardo Toledo; Ramon Baldrich; Ernest Valveny; Petia Radeva | ||||
Title | Enhancing snakes for vessel detection in angiography images. | Type | Miscellaneous | ||
Year | 2002 | Publication | Proceedings of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002: 139–144. | Abbreviated Journal | |
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Notes | MILAB;DAG;CIC;ADAS | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ TBV2002 | Serial | 300 | ||
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Author | Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier | ||||
Title | Automatic text localisation in scanned comic books | Type | Conference Article | ||
Year | 2013 | Publication | Proceedings of the International Conference on Computer Vision Theory and Applications | Abbreviated Journal | |
Volume | Issue | Pages | 814-819 | ||
Keywords | Text localization; comics; text/graphic separation; complex background; unstructured document | ||||
Abstract | Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent document understanding enable direct content-based search as opposed to metadata only search (e.g. album title or author name). Few studies have been done in this direction. In this work we detail a novel approach for the automatic text localization in scanned comics book pages, an essential step towards a fully automatic comics book understanding. We focus on speech text as it is semantically important and represents the majority of the text present in comics. The approach is compared with existing methods of text localization found in the literature and results are presented. | ||||
Address | Barcelona; February 2013 | ||||
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Area | Expedition | Conference | VISAPP | ||
Notes | DAG; CIC; 600.056 | Approved | no | ||
Call Number | Admin @ si @ RKW2013b | Serial | 2261 | ||
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Author | Marcos V Conde; Florin Vasluianu; Javier Vazquez; Radu Timofte | ||||
Title | Perceptual image enhancement for smartphone real-time applications | Type | Conference Article | ||
Year | 2023 | Publication | Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 1848-1858 | ||
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Abstract | Recent advances in camera designs and imaging pipelines allow us to capture high-quality images using smartphones. However, due to the small size and lens limitations of the smartphone cameras, we commonly find artifacts or degradation in the processed images. The most common unpleasant effects are noise artifacts, diffraction artifacts, blur, and HDR overexposure. Deep learning methods for image restoration can successfully remove these artifacts. However, most approaches are not suitable for real-time applications on mobile devices due to their heavy computation and memory requirements. In this paper, we propose LPIENet, a lightweight network for perceptual image enhancement, with the focus on deploying it on smartphones. Our experiments show that, with much fewer parameters and operations, our model can deal with the mentioned artifacts and achieve competitive performance compared with state-of-the-art methods on standard benchmarks. Moreover, to prove the efficiency and reliability of our approach, we deployed the model directly on commercial smartphones and evaluated its performance. Our model can process 2K resolution images under 1 second in mid-level commercial smartphones. | ||||
Address | Waikoloa; Hawai; USA; January 2023 | ||||
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Area | Expedition | Conference | WACV | ||
Notes | MACO; CIC | Approved | no | ||
Call Number | Admin @ si @ CVV2023 | Serial | 3900 | ||
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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 | ||||
Title | NTIRE 2023 challenge on image denoising: Methods and results | Type | Conference Article | ||
Year | 2023 | Publication | Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops | Abbreviated Journal | |
Volume | Issue | Pages | 1904-1920 | ||
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Abstract | 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. | ||||
Address | Vancouver; Canada; June 2023 | ||||
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Area | Expedition | Conference | CVPRW | ||
Notes | MACO; CIC | Approved | no | ||
Call Number | Admin @ si @ LZT2023 | Serial | 3910 | ||
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Author | Ramon Baldrich; Maria Vanrell; Robert Benavente; Anna Salvatella | ||||
Title | Color Enhancement based on perceptual sharpening | Type | Miscellaneous | ||
Year | 2003 | Publication | Proceedings of the IEEE International Conference on Image Processing | Abbreviated Journal | |
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Address | Barcelona | ||||
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ BVB2003 | Serial | 370 | ||
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Author | Naila Murray; Eduard Vazquez | ||||
Title | Lacuna Restoration: How to choose a neutral colour? | Type | Conference Article | ||
Year | 2010 | Publication | Proceedings of The CREATE 2010 Conference | Abbreviated Journal | |
Volume | Issue | Pages | 248–252 | ||
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Abstract | Painting restoration which involves filling in material loss (called lacuna) is a complex process. Several standard techniques exist to tackle lacuna restoration,
and this article focuses on those techniques that employ a “neutral” colour to mask the defect. Restoration experts often disagree on the choice of such a colour and in fact, the concept of a neutral colour is controversial. We posit that a neutral colour is one that attracts relatively little visual attention for a specific lacuna. We conducted an eye tracking experiment to compare two common neutral colour selection methods, specifically the most common local colour and the mean local colour. Results obtained demonstrate that the most common local colour triggers less visual attention in general. Notwithstanding, we have observed instances in which the most common colour triggers a significant amount of attention when subjects spent time resolving their confusion about whether or not a lacuna was part of the painting. |
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Address | Gjovik, Norway | ||||
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Area | Expedition | Conference | CREATE | ||
Notes | CIC | Approved | no | ||
Call Number | Admin @ si @ MuV2010 | Serial | 1297 | ||
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Author | Eduard Vazquez; Ramon Baldrich | ||||
Title | Non-supervised goodness measure for image segmentation | Type | Conference Article | ||
Year | 2010 | Publication | Proceedings of The CREATE 2010 Conference | Abbreviated Journal | |
Volume | Issue | Pages | 334–335 | ||
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Address | Gjovik, Norway | ||||
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Area | Expedition | Conference | CREATE | ||
Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ VaB2010 | Serial | 1299 | ||
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Author | Jaime Moreno; Xavier Otazu; Maria Vanrell | ||||
Title | Contribution of CIWaM in JPEG2000 Quantization for Color Images | Type | Conference Article | ||
Year | 2010 | Publication | Proceedings of The CREATE 2010 Conference | Abbreviated Journal | |
Volume | Issue | Pages | 132–136 | ||
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Abstract | The aim of this work is to explain how to apply perceptual concepts to define a perceptual pre-quantizer and to improve JPEG2000 compressor. The approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth when the imagery is transmitted. Perceptual pre-quantization reduces unperceivable details and thus improve both visual impression and transmission properties. The comparison between JPEG2000 without and with perceptual pre-quantization shows that the latter is not favorable in PSNR, but the recovered image is more compressed at the same or even better visual quality measured with a weighted PSNR. Perceptual criteria were taken from the CIWaM(ChromaticInductionWaveletModel). | ||||
Address | Gjovik (Norway) | ||||
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Area | Expedition | Conference | CREATE | ||
Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ MOV2010b | Serial | 1308 | ||
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Author | Javier Vazquez; Maria Vanrell; Robert Benavente | ||||
Title | Color names as a constraint for Computer Vision problems | Type | Conference Article | ||
Year | 2010 | Publication | Proceedings of The CREATE 2010 Conference | Abbreviated Journal | |
Volume | Issue | Pages | 324–328 | ||
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Abstract | Computer Vision Problems are usually ill-posed. Constraining de gamut of possible solutions is then a necessary step. Many constrains for different problems have been developed during years. In this paper, we present a different way of constraining some of these problems: the use of color names. In particular, we will focus on segmentation, representation ans constancy. | ||||
Address | Gjovik (Norway) | ||||
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Area | Expedition | Conference | CREATE | ||
Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ VVB2010 | Serial | 1328 | ||
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Author | Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell | ||||
Title | Who Painted this Painting? | Type | Conference Article | ||
Year | 2010 | Publication | Proceedings of The CREATE 2010 Conference | Abbreviated Journal | |
Volume | Issue | Pages | 329–333 | ||
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Address | Gjovik (Norway) | ||||
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Area | Expedition | Conference | CREATE | ||
Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ KWV2010 | Serial | 1329 | ||
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Author | Shida Beigpour; Joost Van de Weijer | ||||
Title | Photo-Realistic Color Alteration for Architecture and Design | Type | Conference Article | ||
Year | 2010 | Publication | Proceedings of The CREATE 2010 Conference | Abbreviated Journal | |
Volume | Issue | Pages | 84–88 | ||
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Abstract | As color is a strong stimuli we receive from the exterior world, choosing the right color can prove crucial in creating the desired architecture and desing. We propose a framework to apply a realistic color change on both objects and their illuminant lights for snapshots of architectural designs, in order to visualize and choose the right color before actully applying the change in the real world. The proposed framework is based on the laws of physics in order to accomplish realistic and physically plausible results. | ||||
Address | Gjovik (Norway) | ||||
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Area | Expedition | Conference | CREATE | ||
Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ BeW2010 | Serial | 1330 | ||
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Author | Naila Murray; Sandra Skaff; Luca Marchesotti; Florent Perronnin | ||||
Title | Towards Automatic Concept Transfer | Type | Conference Article | ||
Year | 2011 | Publication | Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering | Abbreviated Journal | |
Volume | Issue | Pages | 167.176 | ||
Keywords | chromatic modeling, color concepts, color transfer, concept transfer | ||||
Abstract | This paper introduces a novel approach to automatic concept transfer; examples of concepts are “romantic”, “earthy”, and “luscious”. The approach modifies the color content of an input image given only a concept specified by a user in natural language, thereby requiring minimal user input. This approach is particularly useful for users who are aware of the message they wish to convey in the transferred image while being unsure of the color combination needed to achieve the corresponding transfer. The user may adjust the intensity level of the concept transfer to his/her liking with a single parameter. The proposed approach uses a convex clustering algorithm, with a novel pruning mechanism, to automatically set the complexity of models of chromatic content. It also uses the Earth-Mover's Distance to compute a mapping between the models of the input image and the target chromatic concept. Results show that our approach yields transferred images which effectively represent concepts, as confirmed by a user study. | ||||
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Publisher | ACM Press | Place of Publication | Editor | ||
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ISSN | ISBN | 978-1-4503-0907-3 | Medium | ||
Area | Expedition | Conference | NPAR | ||
Notes | CIC | Approved | no | ||
Call Number | Admin @ si @ MSM2011 | Serial | 1866 | ||
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Author | A. Pujol; Jordi Vitria; Petia Radeva; Xavier Binefa; Robert Benavente; Ernest Valveny; Craig Von Land | ||||
Title | Real time pharmaceutical product recognition using color and shape indexing. | Type | Conference Article | ||
Year | 1999 | Publication | Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing. | Abbreviated Journal | |
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Address | Wales | ||||
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Notes | OR;MILAB;DAG;CIC;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ PVR1999 | Serial | 24 | ||
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Author | M. Gonzalez-Audicana; Xavier Otazu; O. Fors; R Garcia; J. Nuñez | ||||
Title | Fusion of different spatial and spectral resolution images: development, apllication and comparison of new methods based on wavelets. | Type | Miscellaneous | ||
Year | 2002 | Publication | Proceedings of the 1st. International Symposium Recent Advances in Quantitative Remote Sensing. | Abbreviated Journal | |
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ GOF2002 | Serial | 291 | ||
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Author | Robert Benavente; Francesc Tous; Ramon Baldrich; Maria Vanrell | ||||
Title | Statical Modelling of a Colour Naming Space. | Type | Miscellaneous | ||
Year | 2002 | Publication | Proceedings of the 1st. European Conference on Colour in Graphics Imaging and Vision: 406–411. | Abbreviated Journal | |
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ BTB2002 | Serial | 289 | ||
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Author | Bojana Gajic; Eduard Vazquez; Ramon Baldrich | ||||
Title | Evaluation of Deep Image Descriptors for Texture Retrieval | Type | Conference Article | ||
Year | 2017 | Publication | Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) | Abbreviated Journal | |
Volume | Issue | Pages | 251-257 | ||
Keywords | Texture Representation; Texture Retrieval; Convolutional Neural Networks; Psychophysical Evaluation | ||||
Abstract | The increasing complexity learnt in the layers of a Convolutional Neural Network has proven to be of great help for the task of classification. The topic has received great attention in recently published literature.
Nonetheless, just a handful of works study low-level representations, commonly associated with lower layers. In this paper, we explore recent findings which conclude, counterintuitively, the last layer of the VGG convolutional network is the best to describe a low-level property such as texture. To shed some light on this issue, we are proposing a psychophysical experiment to evaluate the adequacy of different layers of the VGG network for texture retrieval. Results obtained suggest that, whereas the last convolutional layer is a good choice for a specific task of classification, it might not be the best choice as a texture descriptor, showing a very poor performance on texture retrieval. Intermediate layers show the best performance, showing a good combination of basic filters, as in the primary visual cortex, and also a degree of higher level information to describe more complex textures. |
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Address | Porto, Portugal; 27 February – 1 March 2017 | ||||
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Area | Expedition | Conference | VISIGRAPP | ||
Notes | CIC; 600.087 | Approved | no | ||
Call Number | Admin @ si @ | Serial | 3710 | ||
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