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Author | Sandra Jimenez; Xavier Otazu; Valero Laparra; Jesus Malo |
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Title | Chromatic induction and contrast masking: similar models, different goals? | Type | Conference Article | |||
Year | 2013 | Publication | Human Vision and Electronic Imaging XVIII | Abbreviated Journal | ||
Volume | 8651 | Issue | Pages | |||
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Abstract | Normalization of signals coming from linear sensors is an ubiquitous mechanism of neural adaptation.1 Local interaction between sensors tuned to a particular feature at certain spatial position and neighbor sensors explains a wide range of psychophysical facts including (1) masking of spatial patterns, (2) non-linearities of motion sensors, (3) adaptation of color perception, (4) brightness and chromatic induction, and (5) image quality assessment. Although the above models have formal and qualitative similarities, it does not necessarily mean that the mechanisms involved are pursuing the same statistical goal. For instance, in the case of chromatic mechanisms (disregarding spatial information), different parameters in the normalization give rise to optimal discrimination or adaptation, and different non-linearities may give rise to error minimization or component independence. In the case of spatial sensors (disregarding color information), a number of studies have pointed out the benefits of masking in statistical independence terms. However, such statistical analysis has not been performed for spatio-chromatic induction models where chromatic perception depends on spatial configuration. In this work we investigate whether successful spatio-chromatic induction models,6 increase component independence similarly as previously reported for masking models. Mutual information analysis suggests that seeking an efficient chromatic representation may explain the prevalence of induction effects in spatially simple images. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. | |||||
Address | San Francisco CA; USA; February 2013 | |||||
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Area | Expedition | Conference | HVEI | |||
Notes | CIC | Approved | no | |||
Call Number | Admin @ si @ JOL2013 | Serial | 2240 | |||
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Author | Alicia Fornes; Xavier Otazu; Josep Llados |
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Title | Show through cancellation and image enhancement by multiresolution contrast processing | Type | Conference Article | |||
Year | 2013 | Publication | 12th International Conference on Document Analysis and Recognition | Abbreviated Journal | ||
Volume | Issue | Pages | 200-204 | |||
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Abstract | Historical documents suffer from different types of degradation and noise such as background variation, uneven illumination or dark spots. In case of double-sided documents, another common problem is that the back side of the document usually interferes with the front side because of the transparency of the document or ink bleeding. This effect is called the show through phenomenon. Many methods are developed to solve these problems, and in the case of show-through, by scanning and matching both the front and back sides of the document. In contrast, our approach is designed to use only one side of the scanned document. We hypothesize that show-trough are low contrast components, while foreground components are high contrast ones. A Multiresolution Contrast (MC) decomposition is presented in order to estimate the contrast of features at different spatial scales. We cancel the show-through phenomenon by thresholding these low contrast components. This decomposition is also able to enhance the image removing shadowed areas by weighting spatial scales. Results show that the enhanced images improve the readability of the documents, allowing scholars both to recover unreadable words and to solve ambiguities. | |||||
Address | Washington; USA; August 2013 | |||||
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ISSN | 1520-5363 | ISBN | Medium | |||
Area | Expedition | Conference | ICDAR | |||
Notes | DAG; 602.006; 600.045; 600.061; 600.052;CIC | Approved | no | |||
Call Number | Admin @ si @ FOL2013 | Serial | 2241 | |||
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Author | Olivier Penacchio; Xavier Otazu; Laura Dempere-Marco |
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Title | A Neurodynamical Model of Brightness Induction in V1 | Type | Journal Article | |||
Year | 2013 | Publication | PloS ONE | Abbreviated Journal | Plos | |
Volume | 8 | Issue | 5 | Pages | e64086 | |
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Abstract | Brightness induction is the modulation of the perceived intensity of an area by the luminance of surrounding areas. Recent neurophysiological evidence suggests that brightness information might be explicitly represented in V1, in contrast to the more common assumption that the striate cortex is an area mostly responsive to sensory information. Here we investigate possible neural mechanisms that offer a plausible explanation for such phenomenon. To this end, a neurodynamical model which is based on neurophysiological evidence and focuses on the part of V1 responsible for contextual influences is presented. The proposed computational model successfully accounts for well known psychophysical effects for static contexts and also for brightness induction in dynamic contexts defined by modulating the luminance of surrounding areas. This work suggests that intra-cortical interactions in V1 could, at least partially, explain brightness induction effects and reveals how a common general architecture may account for several different fundamental processes, such as visual saliency and brightness induction, which emerge early in the visual processing pathway. | |||||
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Notes | CIC | Approved | no | |||
Call Number | Admin @ si @ POD2013 | Serial | 2242 | |||
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Author | Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier |
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Title | An active contour model for speech balloon detection in comics | Type | Conference Article | |||
Year | 2013 | Publication | 12th International Conference on Document Analysis and Recognition | Abbreviated Journal | ||
Volume | Issue | Pages | 1240-1244 | |||
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Abstract | Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent comic book understanding would enable a variety of new applications, including content-based retrieval and content retargeting. Document understanding in this domain is challenging as comics are semi-structured documents, combining semantically important graphical and textual parts. Few studies have been done in this direction. In this work we detail a novel approach for closed and non-closed speech balloon localization in scanned comic book pages, an essential step towards a fully automatic comic book understanding. The approach is compared with existing methods for closed balloon localization found in the literature and results are presented. | |||||
Address | washington; USA; August 2013 | |||||
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ISSN | 1520-5363 | ISBN | Medium | |||
Area | Expedition | Conference | ICDAR | |||
Notes | DAG; CIC; 600.056 | Approved | no | |||
Call Number | Admin @ si @ RKW2013a | Serial | 2260 | |||
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Author | Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier |
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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 | Rahat Khan; Joost Van de Weijer; Fahad Shahbaz Khan; Damien Muselet; christophe Ducottet; Cecile Barat |
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Title | Discriminative Color Descriptors | Type | Conference Article | |||
Year | 2013 | Publication | IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | ||
Volume | Issue | Pages | 2866 - 2873 | |||
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Abstract | Color description is a challenging task because of large variations in RGB values which occur due to scene accidental events, such as shadows, shading, specularities, illuminant color changes, and changes in viewing geometry. Traditionally, this challenge has been addressed by capturing the variations in physics-based models, and deriving invariants for the undesired variations. The drawback of this approach is that sets of distinguishable colors in the original color space are mapped to the same value in the photometric invariant space. This results in a drop of discriminative power of the color description. In this paper we take an information theoretic approach to color description. We cluster color values together based on their discriminative power in a classification problem. The clustering has the explicit objective to minimize the drop of mutual information of the final representation. We show that such a color description automatically learns a certain degree of photometric invariance. We also show that a universal color representation, which is based on other data sets than the one at hand, can obtain competing performance. Experiments show that the proposed descriptor outperforms existing photometric invariants. Furthermore, we show that combined with shape description these color descriptors obtain excellent results on four challenging datasets, namely, PASCAL VOC 2007, Flowers-102, Stanford dogs-120 and Birds-200. | |||||
Address | Portland; Oregon; June 2013 | |||||
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ISSN | 1063-6919 | ISBN | Medium | |||
Area | Expedition | Conference | CVPR | |||
Notes | CIC; 600.048 | Approved | no | |||
Call Number | Admin @ si @ KWK2013a | Serial | 2262 | |||
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Author | Fahad Shahbaz Khan; Joost Van de Weijer; Sadiq Ali; Michael Felsberg |
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Title | Evaluating the impact of color on texture recognition | Type | Conference Article | |||
Year | 2013 | Publication | 15th International Conference on Computer Analysis of Images and Patterns | Abbreviated Journal | ||
Volume | 8047 | Issue | Pages | 154-162 | ||
Keywords | Color; Texture; image representation | |||||
Abstract | State-of-the-art texture descriptors typically operate on grey scale images while ignoring color information. A common way to obtain a joint color-texture representation is to combine the two visual cues at the pixel level. However, such an approach provides sub-optimal results for texture categorisation task.
In this paper we investigate how to optimally exploit color information for texture recognition. We evaluate a variety of color descriptors, popular in image classification, for texture categorisation. In addition we analyze different fusion approaches to combine color and texture cues. Experiments are conducted on the challenging scenes and 10 class texture datasets. Our experiments clearly suggest that in all cases color names provide the best performance. Late fusion is the best strategy to combine color and texture. By selecting the best color descriptor with optimal fusion strategy provides a gain of 5% to 8% compared to texture alone on scenes and texture datasets. |
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Address | York; UK; August 2013 | |||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | |||
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ISSN | 0302-9743 | ISBN | 978-3-642-40260-9 | Medium | ||
Area | Expedition | Conference | CAIP | |||
Notes | CIC; 600.048 | Approved | no | |||
Call Number | Admin @ si @ KWA2013 | Serial | 2263 | |||
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Author | Shida Beigpour; Marc Serra; Joost Van de Weijer; Robert Benavente; Maria Vanrell; Olivier Penacchio; Dimitris Samaras |
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Title | Intrinsic Image Evaluation On Synthetic Complex Scenes | Type | Conference Article | |||
Year | 2013 | Publication | 20th IEEE International Conference on Image Processing | Abbreviated Journal | ||
Volume | Issue | Pages | 285 - 289 | |||
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Abstract | Scene decomposition into its illuminant, shading, and reflectance intrinsic images is an essential step for scene understanding. Collecting intrinsic image groundtruth data is a laborious task. The assumptions on which the ground-truth
procedures are based limit their application to simple scenes with a single object taken in the absence of indirect lighting and interreflections. We investigate synthetic data for intrinsic image research since the extraction of ground truth is straightforward, and it allows for scenes in more realistic situations (e.g, multiple illuminants and interreflections). With this dataset we aim to motivate researchers to further explore intrinsic image decomposition in complex scenes. |
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Address | Melbourne; Australia; September 2013 | |||||
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Area | Expedition | Conference | ICIP | |||
Notes | CIC; 600.048; 600.052; 600.051 | Approved | no | |||
Call Number | Admin @ si @ BSW2013 | Serial | 2264 | |||
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Author | Rahat Khan; Joost Van de Weijer; Dimosthenis Karatzas; Damien Muselet |
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Title | Towards multispectral data acquisition with hand-held devices | Type | Conference Article | |||
Year | 2013 | Publication | 20th IEEE International Conference on Image Processing | Abbreviated Journal | ||
Volume | Issue | Pages | 2053 - 2057 | |||
Keywords | Multispectral; mobile devices; color measurements | |||||
Abstract | We propose a method to acquire multispectral data with handheld devices with front-mounted RGB cameras. We propose to use the display of the device as an illuminant while the camera captures images illuminated by the red, green and
blue primaries of the display. Three illuminants and three response functions of the camera lead to nine response values which are used for reflectance estimation. Results are promising and show that the accuracy of the spectral reconstruction improves in the range from 30-40% over the spectral reconstruction based on a single illuminant. Furthermore, we propose to compute sensor-illuminant aware linear basis by discarding the part of the reflectances that falls in the sensorilluminant null-space. We show experimentally that optimizing reflectance estimation on these new basis functions decreases the RMSE significantly over basis functions that are independent to sensor-illuminant. We conclude that, multispectral data acquisition is potentially possible with consumer hand-held devices such as tablets, mobiles, and laptops, opening up applications which are currently considered to be unrealistic. |
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Address | Melbourne; Australia; September 2013 | |||||
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Area | Expedition | Conference | ICIP | |||
Notes | CIC; DAG; 600.048 | Approved | no | |||
Call Number | Admin @ si @ KWK2013b | Serial | 2265 | |||
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Author | Abel Gonzalez-Garcia; Robert Benavente; Olivier Penacchio; Javier Vazquez; Maria Vanrell; C. Alejandro Parraga |
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Title | Coloresia: An Interactive Colour Perception Device for the Visually Impaired | Type | Book Chapter | |||
Year | 2013 | Publication | Multimodal Interaction in Image and Video Applications | Abbreviated Journal | ||
Volume | 48 | Issue | Pages | 47-66 | ||
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Abstract | A significative percentage of the human population suffer from impairments in their capacity to distinguish or even see colours. For them, everyday tasks like navigating through a train or metro network map becomes demanding. We present a novel technique for extracting colour information from everyday natural stimuli and presenting it to visually impaired users as pleasant, non-invasive sound. This technique was implemented inside a Personal Digital Assistant (PDA) portable device. In this implementation, colour information is extracted from the input image and categorised according to how human observers segment the colour space. This information is subsequently converted into sound and sent to the user via speakers or headphones. In the original implementation, it is possible for the user to send its feedback to reconfigure the system, however several features such as these were not implemented because the current technology is limited.We are confident that the full implementation will be possible in the near future as PDA technology improves. | |||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | |||
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ISSN | 1868-4394 | ISBN | 978-3-642-35931-6 | Medium | ||
Area | Expedition | Conference | ||||
Notes | CIC; 600.052; 605.203 | Approved | no | |||
Call Number | Admin @ si @ GBP2013 | Serial | 2266 | |||
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Author | Shida Beigpour |
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Title | Illumination and object reflectance modeling | Type | Book Whole | |||
Year | 2013 | Publication | PhD Thesis, Universitat Autonoma de Barcelona-CVC | Abbreviated Journal | ||
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Abstract | More realistic and accurate models of the scene illumination and object reflectance can greatly improve the quality of many computer vision and computer graphics tasks. Using such model, a more profound knowledge about the interaction of light with object surfaces can be established which proves crucial to a variety of computer vision applications. In the current work, we investigate the various existing approaches to illumination and reflectance modeling and form an analysis on their shortcomings in capturing the complexity of real-world scenes. Based on this analysis we propose improvements to different aspects of reflectance and illumination estimation in order to more realistically model the real-world scenes in the presence of complex lighting phenomena (i.e, multiple illuminants, interreflections and shadows). Moreover, we captured our own multi-illuminant dataset which consists of complex scenes and illumination conditions both outdoor and in laboratory conditions. In addition we investigate the use of synthetic data to facilitate the construction of datasets and improve the process of obtaining ground-truth information. | |||||
Address | Barcelona | |||||
Corporate Author | Thesis | Ph.D. thesis | ||||
Publisher | Ediciones Graficas Rey | Place of Publication | Editor | Joost Van de Weijer;Ernest Valveny | ||
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Notes | CIC | Approved | no | |||
Call Number | Admin @ si @ Bei2013 | Serial | 2267 | |||
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Author | Joost Van de Weijer; Fahad Shahbaz Khan |
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Title | Fusing Color and Shape for Bag-of-Words Based Object Recognition | Type | Conference Article | |||
Year | 2013 | Publication | 4th Computational Color Imaging Workshop | Abbreviated Journal | ||
Volume | 7786 | Issue | Pages | 25-34 | ||
Keywords | Object Recognition; color features; bag-of-words; image classification | |||||
Abstract | In this article we provide an analysis of existing methods for the incorporation of color in bag-of-words based image representations. We propose a list of desired properties on which bases fusing methods can be compared. We discuss existing methods and indicate shortcomings of the two well-known fusing methods, namely early and late fusion. Several recent works have addressed these shortcomings by exploiting top-down information in the bag-of-words pipeline: color attention which is motivated from human vision, and Portmanteau vocabularies which are based on information theoretic compression of product vocabularies. We point out several remaining challenges in cue fusion and provide directions for future research. | |||||
Address | Chiba; Japan; March 2013 | |||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | |||
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ISSN | 0302-9743 | ISBN | 978-3-642-36699-4 | Medium | ||
Area | Expedition | Conference | CCIW | |||
Notes | CIC; 600.048 | Approved | no | |||
Call Number | Admin @ si @ WeK2013 | Serial | 2283 | |||
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Author | Joost Van de Weijer; Fahad Shahbaz Khan; Marc Masana |
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Title | Interactive Visual and Semantic Image Retrieval | Type | Book Chapter | |||
Year | 2013 | Publication | Multimodal Interaction in Image and Video Applications | Abbreviated Journal | ||
Volume | 48 | Issue | Pages | 31-35 | ||
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Abstract | One direct consequence of recent advances in digital visual data generation and the direct availability of this information through the World-Wide Web, is a urgent demand for efficient image retrieval systems. The objective of image retrieval is to allow users to efficiently browse through this abundance of images. Due to the non-expert nature of the majority of the internet users, such systems should be user friendly, and therefore avoid complex user interfaces. In this chapter we investigate how high-level information provided by recently developed object recognition techniques can improve interactive image retrieval. Wel apply a bagof- word based image representation method to automatically classify images in a number of categories. These additional labels are then applied to improve the image retrieval system. Next to these high-level semantic labels, we also apply a low-level image description to describe the composition and color scheme of the scene. Both descriptions are incorporated in a user feedback image retrieval setting. The main objective is to show that automatic labeling of images with semantic labels can improve image retrieval results. | |||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | Angel Sappa; Jordi Vitria | ||
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ISSN | 1868-4394 | ISBN | 978-3-642-35931-6 | Medium | ||
Area | Expedition | Conference | ||||
Notes | CIC; 605.203; 600.048 | Approved | no | |||
Call Number | Admin @ si @ WKC2013 | Serial | 2284 | |||
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Author | Fahad Shahbaz Khan; Muhammad Anwer Rao; Joost Van de Weijer; Andrew Bagdanov; Antonio Lopez; Michael Felsberg |
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Title | Coloring Action Recognition in Still Images | Type | Journal Article | |||
Year | 2013 | Publication | International Journal of Computer Vision | Abbreviated Journal | IJCV | |
Volume | 105 | Issue | 3 | Pages | 205-221 | |
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Abstract | In this article we investigate the problem of human action recognition in static images. By action recognition we intend a class of problems which includes both action classification and action detection (i.e. simultaneous localization and classification). Bag-of-words image representations yield promising results for action classification, and deformable part models perform very well object detection. The representations for action recognition typically use only shape cues and ignore color information. Inspired by the recent success of color in image classification and object detection, we investigate the potential of color for action classification and detection in static images. We perform a comprehensive evaluation of color descriptors and fusion approaches for action recognition. Experiments were conducted on the three datasets most used for benchmarking action recognition in still images: Willow, PASCAL VOC 2010 and Stanford-40. Our experiments demonstrate that incorporating color information considerably improves recognition performance, and that a descriptor based on color names outperforms pure color descriptors. Our experiments demonstrate that late fusion of color and shape information outperforms other approaches on action recognition. Finally, we show that the different color–shape fusion approaches result in complementary information and combining them yields state-of-the-art performance for action classification. | |||||
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Publisher | Springer US | Place of Publication | Editor | |||
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ISSN | 0920-5691 | ISBN | Medium | |||
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Notes | CIC; ADAS; 600.057; 600.048 | Approved | no | |||
Call Number | Admin @ si @ KRW2013 | Serial | 2285 | |||
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Author | Jordi Roca; C. Alejandro Parraga; Maria Vanrell |
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Title | Chromatic settings and the structural color constancy index | Type | Journal Article | |||
Year | 2013 | Publication | Journal of Vision | Abbreviated Journal | JV | |
Volume | 13 | Issue | 4-3 | Pages | 1-26 | |
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Abstract | Color constancy is usually measured by achromatic setting, asymmetric matching, or color naming paradigms, whose results are interpreted in terms of indexes and models that arguably do not capture the full complexity of the phenomenon. Here we propose a new paradigm, chromatic setting, which allows a more comprehensive characterization of color constancy through the measurement of multiple points in color space under immersive adaptation. We demonstrated its feasibility by assessing the consistency of subjects' responses over time. The paradigm was applied to two-dimensional (2-D) Mondrian stimuli under three different illuminants, and the results were used to fit a set of linear color constancy models. The use of multiple colors improved the precision of more complex linear models compared to the popular diagonal model computed from gray. Our results show that a diagonal plus translation matrix that models mechanisms other than cone gain might be best suited to explain the phenomenon. Additionally, we calculated a number of color constancy indices for several points in color space, and our results suggest that interrelations among colors are not as uniform as previously believed. To account for this variability, we developed a new structural color constancy index that takes into account the magnitude and orientation of the chromatic shift in addition to the interrelations among colors and memory effects. | |||||
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Notes | CIC; 600.052; 600.051; 605.203 | Approved | no | |||
Call Number | Admin @ si @ RPV2013 | Serial | 2288 | |||
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Author | Naila Murray; Maria Vanrell; Xavier Otazu; C. Alejandro Parraga |
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Title | Low-level SpatioChromatic Grouping for Saliency Estimation | Type | Journal Article | |||
Year | 2013 | Publication | IEEE Transactions on Pattern Analysis and Machine Intelligence | Abbreviated Journal | TPAMI | |
Volume | 35 | Issue | 11 | Pages | 2810-2816 | |
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Abstract | We propose a saliency model termed SIM (saliency by induction mechanisms), which is based on a low-level spatiochromatic model that has successfully predicted chromatic induction phenomena. In so doing, we hypothesize that the low-level visual mechanisms that enhance or suppress image detail are also responsible for making some image regions more salient. Moreover, SIM adds geometrical grouplets to enhance complex low-level features such as corners, and suppress relatively simpler features such as edges. Since our model has been fitted on psychophysical chromatic induction data, it is largely nonparametric. SIM outperforms state-of-the-art methods in predicting eye fixations on two datasets and using two metrics. | |||||
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ISSN | 0162-8828 | ISBN | Medium | |||
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Notes | CIC; 600.051; 600.052; 605.203 | Approved | no | |||
Call Number | Admin @ si @ MVO2013 | Serial | 2289 | |||
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Author | Albert Gordo |
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Title | A Cyclic Page Layout Descriptor for Document Classification & Retrieval | Type | Report | |||
Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | ||
Volume | 128 | Issue | Pages | |||
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Corporate Author | Computer Vision Center | Thesis | Master's thesis | |||
Publisher | Place of Publication | Bellaterra, Barcelona | Editor | |||
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Notes | CIC;DAG | Approved | no | |||
Call Number | Admin @ si @ Gor2009 | Serial | 2387 | |||
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Author | Naila Murray |
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Title | Perceptual Feature Detection | Type | Report | |||
Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | ||
Volume | 131 | Issue | Pages | |||
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Corporate Author | Computer Vision Center | Thesis | Master's thesis | |||
Publisher | Place of Publication | Bellaterra, Barcelona | Editor | |||
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Notes | CIC | Approved | no | |||
Call Number | Admin @ si @ Mur2009 | Serial | 2390 | |||
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