Records |
Author |
Marçal Rusiñol; David Aldavert; Ricardo Toledo; Josep Llados |
Title |
Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method |
Type |
Conference Article |
Year |
2011 |
Publication |
11th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
63-67 |
Keywords |
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Abstract |
In this paper, we present a segmentation-free word spotting method that is able to deal with heterogeneous document image collections. We propose a patch-based framework where patches are represented by a bag-of-visual-words model powered by SIFT descriptors. A later refinement of the feature vectors is performed by applying the latent semantic indexing technique. The proposed method performs well on both handwritten and typewritten historical document images. We have also tested our method on documents written in non-Latin scripts. |
Address |
Beijing, China |
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Medium |
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Area |
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Expedition |
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Conference |
ICDAR |
Notes |
DAG;ADAS |
Approved |
no |
Call Number |
Admin @ si @ RAT2011 |
Serial |
1788 |
Permanent link to this record |
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Author |
Xavier Perez Sala; Cecilio Angulo; Sergio Escalera |
Title |
Biologically Inspired Turn Control in Robot Navigation |
Type |
Conference Article |
Year |
2011 |
Publication |
14th Congrès Català en Intel·ligencia Artificial |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
187-196 |
Keywords |
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Abstract |
An exportable and robust system for turn control using only camera images is proposed for path execution in robot navigation. Robot motion information is extracted in the form of optical flow from SURF robust descriptors of consecutive frames in the image sequence. This information is used to compute the instantaneous rotation angle. Finally, control loop is closed correcting robot displacements when it is requested for a turn command. The proposed system has been successfully tested on the four-legged Sony Aibo robot. |
Address |
Lleida |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Editor |
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Original Title |
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Series Editor |
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Series Title |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
978-1-60750-841-0 |
Medium |
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Area |
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Expedition |
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Conference |
CCIA |
Notes |
HuPBA;MILAB |
Approved |
no |
Call Number |
Admin @ si @ PAE2011a |
Serial |
1753 |
Permanent link to this record |
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Author |
Xavier Perez Sala; Cecilio Angulo; Sergio Escalera |
Title |
Biologically Inspired Path Execution Using SURF Flow in Robot Navigation |
Type |
Conference Article |
Year |
2011 |
Publication |
11th International Work Conference on Artificial Neural Networks |
Abbreviated Journal |
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Volume |
II |
Issue |
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Pages |
581--588 |
Keywords |
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Abstract |
An exportable and robust system using only camera images is proposed for path execution in robot navigation. Motion information is extracted in the form of optical flow from SURF robust descriptors of consecutive frames, so the method is called SURF flow. This information is used to correct robot displacement when a straight forward path command is sent to the robot, but it is not really executed due to several robot and environmental concerns. The proposed system has been successfully tested on the legged robot Aibo. |
Address |
Malaga |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Original Title |
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Series Editor |
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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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ISSN |
0302-9743 |
ISBN |
978-3-642-21497-4 |
Medium |
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Area |
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Expedition |
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Conference |
IWANN |
Notes |
HuPBA;MILAB |
Approved |
no |
Call Number |
Admin @ si @ PAE2011b |
Serial |
1773 |
Permanent link to this record |
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Author |
Murad Al Haj; Carles Fernandez; Zhanwu Xiong; Ivan Huerta; Jordi Gonzalez; Xavier Roca |
Title |
Beyond the Static Camera: Issues and Trends in Active Vision |
Type |
Book Chapter |
Year |
2011 |
Publication |
Visual Analysis of Humans: Looking at People |
Abbreviated Journal |
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Volume |
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Issue |
2 |
Pages |
11-30 |
Keywords |
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Abstract |
Maximizing both the area coverage and the resolution per target is highly desirable in many applications of computer vision. However, with a limited number of cameras viewing a scene, the two objectives are contradictory. This chapter is dedicated to active vision systems, trying to achieve a trade-off between these two aims and examining the use of high-level reasoning in such scenarios. The chapter starts by introducing different approaches to active cameras configurations. Later, a single active camera system to track a moving object is developed, offering the reader first-hand understanding of the issues involved. Another section discusses practical considerations in building an active vision platform, taking as an example a multi-camera system developed for a European project. The last section of the chapter reflects upon the future trends of using semantic factors to drive smartly coordinated active systems. |
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Corporate Author |
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Thesis |
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Publisher |
Springer London |
Place of Publication |
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Editor |
Th.B. Moeslund; A. Hilton; V. Krüger; L. Sigal |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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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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ISSN |
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ISBN |
978-0-85729-996-3 |
Medium |
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Area |
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Expedition |
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Conference |
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Notes |
ISE |
Approved |
no |
Call Number |
Admin @ si @ AFX2011 |
Serial |
1814 |
Permanent link to this record |
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Author |
Anjan Dutta; Josep Llados; Umapada Pal |
Title |
Bag-of-GraphPaths Descriptors for Symbol Recognition and Spotting in Line Drawings |
Type |
Conference Article |
Year |
2011 |
Publication |
In proceedings of 9th IAPR Workshop on Graphic Recognition |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
Graphical symbol recognition and spotting recently have become an important research activity. In this work we present a descriptor for symbols, especially for line drawings. The descriptor is based on the graph representation of graphical objects. We construct graphs from the vectorized information of the binarized images, where the critical points detected by the vectorization algorithm are considered as nodes and the lines joining them are considered as edges. Graph paths between two nodes in a graph are the finite sequences of nodes following the order from the starting to the final node. The occurrences of different graph paths in a given graph is an important feature, as they capture the geometrical and structural attributes of a graph. So the graph representing a symbol can efficiently be represent by the occurrences of its different paths. Their occurrences in a symbol can be obtained in terms of a histogram counting the number of some fixed prototype paths, we call the histogram as the Bag-of-GraphPaths (BOGP). These BOGP histograms are used as a descriptor to measure the distance among the symbols in vector space. We use the descriptor for three applications, they are: (1) classification of the graphical symbols, (2) spotting of the architectural symbols on floorplans, (3) classification of the historical handwritten words. |
Address |
Seoul, Korea |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-36823-3 |
Medium |
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Area |
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Expedition |
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Conference |
GREC |
Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ DLP2011c |
Serial |
1825 |
Permanent link to this record |
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Author |
Antonio Hernandez; Carlos Primo; Sergio Escalera |
Title |
Automatic user interaction correction via Multi-label Graph cuts |
Type |
Conference Article |
Year |
2011 |
Publication |
In ICCV 2011 1st IEEE International Workshop on Human Interaction in Computer Vision HICV |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1276-1281 |
Keywords |
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Abstract |
Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label α-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical α-expansion algorithm. |
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Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Editor |
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Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
978-1-4673-0062-9 |
Medium |
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Area |
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Expedition |
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Conference |
HICV |
Notes |
MILAB; HuPBA |
Approved |
no |
Call Number |
Admin @ si @ HPE2011 |
Serial |
1892 |
Permanent link to this record |
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Author |
Laura Igual; Antonio Hernandez; Sergio Escalera; Miguel Reyes; Josep Moya; Joan Carles Soliva; Jordi Faquet; Oscar Vilarroya; Petia Radeva |
Title |
Automatic Techniques for Studying Attention-Deficit/Hyperactivity Disorder |
Type |
Conference Article |
Year |
2011 |
Publication |
Jornada TIC Salut Girona |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
TICGI |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ IHE2011 |
Serial |
1755 |
Permanent link to this record |
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Author |
Mario Rojas; David Masip; A. Todorov; Jordi Vitria |
Title |
Automatic Prediction of Facial Trait Judgments: Appearance vs. Structural Models |
Type |
Journal Article |
Year |
2011 |
Publication |
PloS one |
Abbreviated Journal |
Plos |
Volume |
6 |
Issue |
8 |
Pages |
e23323 |
Keywords |
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Abstract |
JCR Impact Factor 2010: 4.411
Evaluating other individuals with respect to personality characteristics plays a crucial role in human relations and it is the focus of attention for research in diverse fields such as psychology and interactive computer systems. In psychology, face perception has been recognized as a key component of this evaluation system. Multiple studies suggest that observers use face information to infer personality characteristics. Interactive computer systems are trying to take advantage of these findings and apply them to increase the natural aspect of interaction and to improve the performance of interactive computer systems. Here, we experimentally test whether the automatic prediction of facial trait judgments (e.g. dominance) can be made by using the full appearance information of the face and whether a reduced representation of its structure is sufficient. We evaluate two separate approaches: a holistic representation model using the facial appearance information and a structural model constructed from the relations among facial salient points. State of the art machine learning methods are applied to a) derive a facial trait judgment model from training data and b) predict a facial trait value for any face. Furthermore, we address the issue of whether there are specific structural relations among facial points that predict perception of facial traits. Experimental results over a set of labeled data (9 different trait evaluations) and classification rules (4 rules) suggest that a) prediction of perception of facial traits is learnable by both holistic and structural approaches; b) the most reliable prediction of facial trait judgments is obtained by certain type of holistic descriptions of the face appearance; and c) for some traits such as attractiveness and extroversion, there are relationships between specific structural features and social perceptions |
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Publisher |
Public Library of Science |
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Series Editor |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes |
OR;MV |
Approved |
no |
Call Number |
Admin @ si @ RMT2011 |
Serial |
1883 |
Permanent link to this record |
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Author |
Francesco Ciompi; Oriol Pujol; Simone Balocco; Xavier Carrillo; J. Mauri; Petia Radeva |
Title |
Automatic Key Frames Detection in Intravascular Ultrasound Sequences |
Type |
Conference Article |
Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computing and Visualization for Intra Vascular Imaging |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
We present a method for the automatic detection of key frames in Intravascular Ultrasound (IVUS) sequences. The key frames are markers delimiting morphological changes along the vessel. The aim of defining key frames is two-fold: (1) they allow to summarize the content of the pullback into few representative frames; (2) they represent the basis for the automatic detection of clinical events in IVUS. The proposed approach achieved a compression ratio of 0.016 with respect to the original sequence and an average inter-frame distance of 61.76 frame, minimizing the number of missed clinical events. |
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Series Title |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
CVII |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ CPB2011 |
Serial |
1767 |
Permanent link to this record |
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Author |
Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner |
Title |
Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation |
Type |
Journal |
Year |
2011 |
Publication |
e-Perimetron |
Abbreviated Journal |
ePER |
Volume |
6 |
Issue |
4 |
Pages |
219-229 |
Keywords |
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Abstract |
By means of computer vision algorithms scanned images of maps are processed in order to extract relevant geographic information from printed coordinate pairs. The meaningful information is then transformed into georeferencing information for each single map sheet, and the complete set is compiled to produce a graphical index sheet for the map series along with relevant metadata. The whole process is fully automated and trained to attain maximum effectivity and throughput. |
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Edition |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ RRL2011a |
Serial |
1765 |
Permanent link to this record |
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Author |
Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner |
Title |
Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation |
Type |
Conference Article |
Year |
2011 |
Publication |
In Proceedings of the Sixth International Workshop on Digital Technologies in Cartographic Heritage |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
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Address |
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Series Title |
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Edition |
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Area |
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Conference |
CartoHerit |
Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ RRL2011b |
Serial |
1978 |
Permanent link to this record |
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Author |
Mario Rojas; David Masip; Jordi Vitria |
Title |
Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
371-378 |
Keywords |
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Abstract |
Most applications dealing with problems involving the face require a robust estimation of the facial salient points. Nevertheless, this estimation is not usually an automated preprocessing step in applications dealing with facial expression recognition. In this paper we present a simple method to detect facial salient points in the face. It is based on a prior Point Distribution Model and a robust object descriptor. The model learns the distribution of the points from the training data, as well as the amount of variation in location each point exhibits. Using this model, we reduce the search areas to look for each point. In addition, we also exploit the global consistency of the points constellation, increasing the detection accuracy. The method was tested on two separate data sets and the results, in some cases, outperform the state of the art. |
Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-21256-7 |
Medium |
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Area |
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Expedition |
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Conference |
IbPRIA |
Notes |
OR;MV |
Approved |
no |
Call Number |
Admin @ si @ RMV2011a |
Serial |
1731 |
Permanent link to this record |
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Author |
Marina Alberti; Carlo Gatta; Simone Balocco; Francesco Ciompi; Oriol Pujol; Joana Silva; Xavier Carrillo; Petia Radeva |
Title |
Automatic Branching Detection in IVUS Sequences |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
126-133 |
Keywords |
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Abstract |
Atherosclerosis is a vascular pathology affecting the arterial walls, generally located in specific vessel sites, such as bifurcations. In this paper, for the first time, a fully automatic approach for the detection of bifurcations in IVUS pullback sequences is presented. The method identifies the frames and the angular sectors in which a bifurcation is visible. This goal is achieved by applying a classifier to a set of textural features extracted from each image of an IVUS pullback. A comparison between two state-of-the-art classifiers is performed, AdaBoost and Random Forest. A cross-validation scheme is applied in order to evaluate the performances of the approaches. The obtained results are encouraging, showing a sensitivity of 75% and an accuracy of 94% by using the AdaBoost algorithm. |
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Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
Berlin |
Editor |
Jordi Vitria; Joao Miguel Raposo; Mario Hernandez |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-21256-7 |
Medium |
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Area |
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Expedition |
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Conference |
IbPRIA |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ AGB2011 |
Serial |
1740 |
Permanent link to this record |
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Author |
Antonio Hernandez; Carlo Gatta; Laura Igual; Sergio Escalera; Petia Radeva |
Title |
Automatic Angiography Segmentation Based on Improved Graph-cut |
Type |
Conference Article |
Year |
2011 |
Publication |
Jornada TIC Salut Girona |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Edition |
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Area |
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Expedition |
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Conference |
TICGI |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ HGI2011 |
Serial |
1754 |
Permanent link to this record |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
Title |
Augmenting Video Surveillance Footage with Virtual Agents for Incremental Event Evaluation |
Type |
Journal Article |
Year |
2011 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
Volume |
32 |
Issue |
6 |
Pages |
878–889 |
Keywords |
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Abstract |
The fields of segmentation, tracking and behavior analysis demand for challenging video resources to test, in a scalable manner, complex scenarios like crowded environments or scenes with high semantics. Nevertheless, existing public databases cannot scale the presence of appearing agents, which would be useful to study long-term occlusions and crowds. Moreover, creating these resources is expensive and often too particularized to specific needs. We propose an augmented reality framework to increase the complexity of image sequences in terms of occlusions and crowds, in a scalable and controllable manner. Existing datasets can be increased with augmented sequences containing virtual agents. Such sequences are automatically annotated, thus facilitating evaluation in terms of segmentation, tracking, and behavior recognition. In order to easily specify the desired contents, we propose a natural language interface to convert input sentences into virtual agent behaviors. Experimental tests and validation in indoor, street, and soccer environments are provided to show the feasibility of the proposed approach in terms of robustness, scalability, and semantics. |
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Publisher |
Elsevier |
Place of Publication |
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Notes |
ISE |
Approved |
no |
Call Number |
Admin @ si @ FBR2011b |
Serial |
1723 |
Permanent link to this record |