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Author |
Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
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Title |
Perceptual color texture codebooks for retrieving in highly diverse texture datasets |
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Conference Article |
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Year |
2010 |
Publication |
20th International Conference on Pattern Recognition |
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866–869 |
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Abstract |
Color and texture are visual cues of different nature, their integration in a useful visual descriptor is not an obvious step. One way to combine both features is to compute texture descriptors independently on each color channel. A second way is integrate the features at a descriptor level, in this case arises the problem of normalizing both cues. A significant progress in the last years in object recognition has provided the bag-of-words framework that again deals with the problem of feature combination through the definition of vocabularies of visual words. Inspired in this framework, here we present perceptual textons that will allow to fuse color and texture at the level of p-blobs, which is our feature detection step. Feature representation is based on two uniform spaces representing the attributes of the p-blobs. The low-dimensionality of these text on spaces will allow to bypass the usual problems of previous approaches. Firstly, no need for normalization between cues; and secondly, vocabularies are directly obtained from the perceptual properties of text on spaces without any learning step. Our proposal improve current state-of-art of color-texture descriptors in an image retrieval experiment over a highly diverse texture dataset from Corel. |
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Istanbul (Turkey) |
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1051-4651 |
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978-1-4244-7542-1 |
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CIC |
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no |
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CAT @ cat @ ASV2010b |
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1426 |
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Author |
Francesco Ciompi; Oriol Pujol; Petia Radeva |
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Title |
A meta-learning approach to Conditional Random Fields using Error-Correcting Output Codes |
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Conference Article |
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Year |
2010 |
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20th International Conference on Pattern Recognition |
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710–713 |
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We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a classification problem where margin classifiers are used. The set of state transitions for the edge potential is treated as a set of different classes, thus defining a multi-class learning problem. The Error-Correcting Output Codes (ECOC) technique is used to deal with the multi-class problem. Furthermore, the point defined by the combination of margin classifiers in the ECOC space is interpreted in a probabilistic manner, and the obtained distance values are then converted into potential values. The proposed model exhibits very promising results when applied to two real detection problems. |
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Istanbul;Turkey |
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1051-4651 |
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978-1-4244-7542-1 |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ CPR2010a |
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1365 |
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Author |
Jaume Amores |
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Title |
Vocabulary-based Approaches for Multiple-Instance Data: a Comparative Study |
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Conference Article |
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Year |
2010 |
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20th International Conference on Pattern Recognition |
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4246–4250 |
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Multiple Instance Learning (MIL) has become a hot topic and many different algorithms have been proposed in the last years. Despite this fact, there is a lack of comparative studies that shed light into the characteristics of the different methods and their behavior in different scenarios. In this paper we provide such an analysis. We include methods from different families, and pay special attention to vocabulary-based approaches, a new family of methods that has not received much attention in the MIL literature. The empirical comparison includes seven databases from four heterogeneous domains, implementations of eight popular MIL methods, and a study of the behavior under synthetic conditions. Based on this analysis, we show that, with an appropriate implementation, vocabulary-based approaches outperform other MIL methods in most of the cases, showing in general a more consistent performance. |
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Istanbul, Turkey |
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1051-4651 |
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978-1-4244-7542-1 |
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ADAS |
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ADAS @ adas @ Amo2010 |
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1295 |
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Author |
Jaume Garcia; Francesc Carreras; Sandra Pujades; Debora Gil |
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Title |
Regional motion patterns for the Left Ventricle function assessment |
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Conference Article |
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Year |
2008 |
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Proc. 19th Int. Conf. Pattern Recognition ICPR 2008 |
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1-4 |
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Regional scores (e.g. strain, perfusion) of the Left Ventricle (LV) functionality are playing an increasing role in the diagnosis of cardiac diseases. A main limitation is the lack of normality models for complementary scores oriented to assessment of the LV integrity. This paper introduces an original framework based on a parametrization of the LV domain, which allows comparison across subjects of local physiological measures of different nature. We compute regional normality patterns in a feature space characterizing the LV function. We show the consistency of the model for the regional motion on healthy and hypokinetic pathological cases |
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IAM |
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IAM @ iam @ GCP2008 |
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1510 |
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Author |
Ariel Amato; Mikhail Mozerov; Ivan Huerta; Jordi Gonzalez; Juan J. Villanueva |
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Title |
ackground Subtraction Technique Based on Chromaticity and Intensity Patterns |
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Conference Article |
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Year |
2008 |
Publication |
19th International Conference on Pattern Recognition, |
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1–4 |
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Tampa (Florida) |
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ISE |
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ISE @ ise @ AMH2008 |
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1071 |
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Author |
Salvatore Tabbone; Oriol Ramos Terrades; S. Barrat |
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Title |
Histogram of radon transform. A useful descriptor for shape retrieval |
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Conference Article |
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2008 |
Publication |
19th International Conference on Pattern Recognition |
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1-4 |
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Tampa, Florida |
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DAG |
Approved |
no |
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Admin @ si @ TRB2008 |
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1876 |
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Author |
Murad Al Haj; Francisco Javier Orozco; Jordi Gonzalez; Juan J. Villanueva |
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Title |
Automatic Face and Facial Features Initialization for Robust and Accurate Tracking |
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Conference Article |
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Year |
2008 |
Publication |
19th International Conference on Pattern Recognition. |
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1– 4 |
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Tampa (Florida) |
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ISE |
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no |
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ISE @ ise @ AOG2008 |
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1072 |
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Author |
Partha Pratim Roy; Umapada Pal; Josep Llados; F. Kimura |
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Title |
Convex Hull based Approach for Multi-oriented Character Recognition form Graphical Documents |
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Conference Article |
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2008 |
Publication |
19th International Conference on Pattern Recognition |
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Tampa (Florida) |
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DAG |
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DAG @ dag @ RPL2008d |
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1073 |
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Author |
Miquel Ferrer; Ernest Valveny; F. Serratosa; K. Riesen; Horst Bunke |
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Title |
An Approximate Algorith for Median Graph Computation using Graph Embedding |
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Conference Article |
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2008 |
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19th International Conference on Pattern Recognition. |
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Tampa, USA |
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DAG |
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DAG @ dag @ FVS2008a |
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1064 |
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Author |
H. Chouaib; Oriol Ramos Terrades; Salvatore Tabbone; F. Cloppet; N. Vincent |
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Title |
Feature Selection Combining Genetic Algorithm and Adaboost Classifiers |
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Conference Article |
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2008 |
Publication |
19th International Conference on Pattern Recognition |
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1-4 |
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Tampa, Florida |
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DAG |
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Admin @ si @ CRT2008 |
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1872 |
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Author |
Jose Antonio Rodriguez; Florent Perronnin; Gemma Sanchez; Josep Llados |
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Title |
Unsupervised writer style adaptation for handwritten word spotting |
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Conference Article |
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2008 |
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Pattern Recognition. 19th International Conference on, IBM Best Student Paper Award. |
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Tampa, USA |
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DAG |
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DAG @ dag @ RPS2008 |
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1077 |
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Author |
Dimosthenis Karatzas; Marçal Rusiñol; Coen Antens; Miquel Ferrer |
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Title |
Segmentation Robust to the Vignette Effect for Machine Vision Systems |
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Conference Article |
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2008 |
Publication |
19th International Conference on Pattern Recognition |
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The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In this paper we present a fast and efficient method for dealing with vignetting in the context of object segmentation in an existing industrial inspection setup. The vignette effect is modelled here as a circular, non-linear gradient. The method estimates the gradient parameters and employs them to perform segmentation. Segmentation results on a variety of images indicate that the presented method is able to successfully tackle the vignette effect. |
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Tampa, USA |
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DAG @ dag @ KRA2008 |
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1065 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
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Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy |
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Conference Article |
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2006 |
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18th International Conference on Pattern Recognition |
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4 |
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719-722 |
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Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization |
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Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found. |
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Hong Kong |
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1051-4651 |
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0-7695-2521-0 |
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800 |
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MV;OR;MILAB;SIAI |
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BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g |
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727 |
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Author |
Ernest Valveny; Enric Marti |
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Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework |
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2000 |
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Proc. 15th Int Pattern Recognition Conf |
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2 |
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239-242 |
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Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very flexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a Bayesian framework and deformable template matching. This approach gets flexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work, we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm. |
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0-7695-0750-6 |
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DAG;IAM; |
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IAM @ iam @ VAM2000 |
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1656 |
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Author |
Margarita Torre; Petia Radeva |
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Title |
Agricultural-Field Extraction on Aerial Images by Region Competition Algorithm |
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Conference Article |
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2000 |
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15 th International Conference on Pattern Recognition |
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1 |
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313-316 |
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Barcelona, Spain, 2000 |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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Conference |
ICPR |
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MILAB |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ Tor2000a |
Serial |
222 |
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