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Author | Anna Salvatella; Maria Vanrell |
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Title | Towards a texture representation database | Type | Report | |||
Year | 2002 | Publication | CVC Technical Report #60 | Abbreviated Journal | ||
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Address | CVC (UAB) | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ SaV2002 | Serial | 526 | |||
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Author | Anna Salvatella; Maria Vanrell; Ramon Baldrich |
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Title | Subtexture Components for Texture Description | Type | Miscellaneous | |||
Year | 2003 | Publication | Lecture Notes in Computer Science, vol 2652, pp 884–892 | Abbreviated Journal | ||
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Address | Springer-Verlag | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ SVR2003 | Serial | 421 | |||
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Author | Anna Salvatella; Maria Vanrell; Juan J. Villanueva |
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Title | Texture Description based on Subtexture Components, 3rd International Workshop on Texture Syntesis and Analysis | Type | Conference Article | |||
Year | 2003 | Publication | 3rd International Workshop on Texture Synthesis and Analysis, | Abbreviated Journal | ||
Volume | Issue | Pages | 77–82 | |||
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Address | Nice | |||||
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ISSN | ISBN | 1-904410-11-1 | Medium | |||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ SVV2003 | Serial | 422 | |||
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Author | Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
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Title | Top-Down Color Attention for Object Recognition | Type | Conference Article | |||
Year | 2009 | Publication | 12th International Conference on Computer Vision | Abbreviated Journal | ||
Volume | Issue | Pages | 979 - 986 | |||
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Abstract | Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary construction and image representation are performed independent of the intentioned object classes to be detected. In such a framework, combining multiple cues such as shape and color often provides below-expected results. This paper presents a novel method for recognizing object categories when using multiple cues by separating the shape and color cue. Color is used to guide attention by means of a top-down category-specific attention map. The color attention map is then further deployed to modulate the shape features by taking more features from regions within an image that are likely to contain an object instance. This procedure leads to a category-specific image histogram representation for each category. Furthermore, we argue that the method combines the advantages of both early and late fusion. We compare our approach with existing methods that combine color and shape cues on three data sets containing varied importance of both cues, namely, Soccer ( color predominance), Flower (color and shape parity), and PASCAL VOC Challenge 2007 (shape predominance). The experiments clearly demonstrate that in all three data sets our proposed framework significantly outperforms the state-of-the-art methods for combining color and shape information. | |||||
Address | Kyoto, Japan | |||||
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ISSN | 1550-5499 | ISBN | 978-1-4244-4420-5 | Medium | ||
Area | Expedition | Conference | ICCV | |||
Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ SWV2009 | Serial | 1196 | |||
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Author | Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title | Textual Descriptors for browsing people by visual appearence. | Type | Conference Article | |||
Year | 2002 | Publication | 5è. Congrés Català d’Intel·ligència Artificial CCIA | Abbreviated Journal | ||
Volume | Issue | Pages | ||||
Keywords | Image retrieval, textual descriptors, colour naming, colour normalization, graph matching. | |||||
Abstract | This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building. | |||||
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Notes | DAG;CIC | Approved | no | |||
Call Number | CAT @ cat @ TBB2002a | Serial | 287 | |||
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Author | Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title | Textual Descriptions for Browsing People by Visual Apperance. | Type | Book Chapter | |||
Year | 2002 | Publication | Lecture Notes in Artificial Intelligence | Abbreviated Journal | ||
Volume | 2504 | Issue | Pages | 419-429 | ||
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Abstract | This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building | |||||
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Publisher | Springer Verlag | Place of Publication | Editor | |||
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Notes | DAG;CIC | Approved | no | |||
Call Number | CAT @ cat @ TBB2002b | Serial | 319 | |||
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Author | Francesc Tous; Maria Vanrell; Ramon Baldrich |
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Title | Exploring Colour Constancy Solutions. | Type | Miscellaneous | |||
Year | 2004 | Publication | CGIV 2004 Second European Conference on Colour in Graphics, Imaging, and Vision, 24:29 | Abbreviated Journal | ||
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Address | Aachen (Germany) | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ TVB2004 | Serial | 452 | |||
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Author | Francesc Tous; Maria Vanrell; Ramon Baldrich |
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Title | Relaxed Grey-World: Computational Colour Constancy by Surface Matching | Type | Book Chapter | |||
Year | 2005 | Publication | Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522:192–199 | Abbreviated Journal | ||
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Address | Estoril (Portugal) | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ TVB2005 | Serial | 555 | |||
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Author | Maria Vanrell |
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Title | Exploring the space of behaviour of a texture perception algorithm | Type | Report | |||
Year | 1997 | Publication | CVC Technical Report #12 | Abbreviated Journal | ||
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Address | CVC (UAB) | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ Van1997 | Serial | 523 | |||
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Author | Eduard Vazquez; Maria Vanrell |
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Title | Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial | Type | Miscellaneous | |||
Year | 2008 | Publication | V Jornades d’Innovacio Docent (UAB) | Abbreviated Journal | ||
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Address | Bellaterra (Spain) | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ VaV2008 | Serial | 1011 | |||
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Author | Maria Vanrell; Ramon Baldrich; Anna Salvatella; Robert Benavente; Francesc Tous |
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Title | Induction operators for a computational colour-texture representation | Type | Journal | |||
Year | 2004 | Publication | Computer Vision and Image Understanding, 94(1–3):92–114, ISSN: 1077–3142 (IF: 0.651) | Abbreviated Journal | ||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ VBS2004 | Serial | 453 | |||
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Author | Eduard Vazquez; Ramon Baldrich; Javier Vazquez; Maria Vanrell |
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Title | Topological histogram reduction towards colour segmentation | Type | Book Chapter | |||
Year | 2007 | Publication | 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:55–62 | Abbreviated Journal | ||
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Address | Gerona (Spain) | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ VBV2007 | Serial | 809 | |||
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Author | Javier Vazquez; G. D. Finlayson; Maria Vanrell |
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Title | A compact singularity function to predict WCS data and unique hues | Type | Conference Article | |||
Year | 2010 | Publication | 5th European Conference on Colour in Graphics, Imaging and Vision and 12th International Symposium on Multispectral Colour Science | Abbreviated Journal | ||
Volume | Issue | Pages | 33–38 | |||
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Abstract | Understanding how colour is used by the human vision system is a widely studied research field. The field, though quite advanced, still faces important unanswered questions. One of them is the explanation of the unique hues and the assignment of color names. This problem addresses the fact of different perceptual status for different colors.
Recently, Philipona and O'Regan have proposed a biological model that allows to extract the reflection properties of any surface independently of the lighting conditions. These invariant properties are the basis to compute a singularity index that predicts the asymmetries presented in unique hues and basic color categories psychophysical data, therefore is giving a further step in their explanation. In this paper we build on their formulation and propose a new singularity index. This new formulation equally accounts for the location of the 4 peaks of the World colour survey and has two main advantages. First, it is a simple elegant numerical measure (the Philipona measurement is a rather cumbersome formula). Second, we develop a colour-based explanation for the measure. |
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Address | Joensuu, Finland | |||||
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ISSN | ISBN | 9781617388897 | Medium | |||
Area | Expedition | Conference | CGIV/MCS | |||
Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ VFV2010 | Serial | 1324 | |||
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Author | Javier Vazquez; C. Alejandro Parraga; Maria Vanrell; Ramon Baldrich |
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Title | Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset | Type | Journal Article | |||
Year | 2009 | Publication | Journal of Imaging Science and Technology | Abbreviated Journal | ||
Volume | 53 | Issue | 3 | Pages | 031105–9 | |
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Abstract | The estimation of the illuminant of a scene from a digital image has been the goal of a large amount of research in computer vision. Color constancy algorithms have dealt with this problem by defining different heuristics to select a unique solution from within the feasible set. The performance of these algorithms has shown that there is still a long way to go to globally solve this problem as a preliminary step in computer vision. In general, performance evaluation has been done by comparing the angular error between the estimated chromaticity and the chromaticity of a canonical illuminant, which is highly dependent on the image dataset. Recently, some workers have used high-level constraints to estimate illuminants; in this case selection is based on increasing the performance on the subsequent steps of the systems. In this paper we propose a new performance measure, the perceptual angular error. It evaluates the performance of a color constancy algorithm according to the perceptual preferences of humans, or naturalness (instead of the actual optimal solution) and is independent of the visual task. We show the results of a new psychophysical experiment comparing solutions from three different color constancy algorithms. Our results show that in more than a half of the judgments the preferred solution is not the one closest to the optimal solution. Our experiments were performed on a new dataset of images acquired with a calibrated camera with an attached neutral grey sphere, which better copes with the illuminant variations of the scene. | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ VPV2009a | Serial | 1171 | |||
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