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Robert Benavente, Gemma Sanchez, Ramon Baldrich, Maria Vanrell and Josep Llados. 2000. Normalized colour segmentation for human appearance description. 15 th International Conference on Pattern Recognition.637–641.
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Josep Llados, Gemma Sanchez and K. Tombre. 2002. An Error-Correction Graph Grammar to Recognize Texture Symbols..
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Francesc Tous, Agnes Borras, Robert Benavente, Ramon Baldrich, Maria Vanrell and Josep Llados. 2002. Textual Descriptors for browsing people by visual appearence. 5è. Congrés Català d’Intel·ligència Artificial CCIA.
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.
Keywords: Image retrieval, textual descriptors, colour naming, colour normalization, graph matching.
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Ramon Baldrich, Ricardo Toledo, Ernest Valveny and Maria Vanrell. 2002. Perceptual Colour Image Segmentation..
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Ricardo Toledo, Ramon Baldrich, Ernest Valveny and Petia Radeva. 2002. Enhancing snakes for vessel detection in angiography images..
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Ernest Valveny and B. Lamiroy. 2002. Automatic Generation of Browsable Technical Documents..
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Francesc Tous, Agnes Borras, Robert Benavente, Ramon Baldrich, Maria Vanrell and Josep Llados. 2002. Textual Descriptions for Browsing People by Visual Apperance. Lecture Notes in Artificial Intelligence. Springer Verlag, 419–429.
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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Gemma Sanchez, Josep Llados and K. Tombre. 2000. A mean string algorithm to compute the average among a set of 2D shapes.
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Agnes Borras, Francesc Tous, Josep Llados and Maria Vanrell. 2003. High-Level Clothes Description Based on Colour-Texture and Structural Features. 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003.108–116. (LNCS.)
Abstract: ecture Notes in Computer Science 2652 108–116
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Philippe Dosch and Josep Llados. 2003. Vectorial Signatures for Symbol Discrimination.
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