| Records |
| Author |
Carles Fernandez; Jordi Gonzalez; Joao Manuel R. S. Taveres; Xavier Roca |
Title  |
Towards Ontological Cognitive System |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Topics in Medical Image Processing and Computational Vision |
Abbreviated Journal |
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| Volume |
8 |
Issue |
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Pages |
87-99 |
| Keywords |
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| Abstract |
The increasing ubiquitousness of digital information in our daily lives has positioned video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance footage. This raises a series of technological demands for automatic video understanding and management, which together with the compromising attentional limitations of human operators, have motivated the research community to guide its steps towards a better attainment of such capabilities. As a result, current trends on cognitive vision promise to recognize complex events and self-adapt to different environments, while managing and integrating several types of knowledge. Future directions suggest to reinforce the multi-modal fusion of information sources and the communication with end-users. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Netherlands |
Place of Publication |
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Editor |
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| 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 |
2212-9391 |
ISBN |
978-94-007-0725-2 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
ISE; 605.203; 302.018; 600.049 |
Approved |
no |
| Call Number |
Admin @ si @ FGT2013 |
Serial |
2287 |
| Permanent link to this record |
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| Author |
Pau Riba; Alicia Fornes; Josep Llados |
| Title |
Towards the Alignment of Handwritten Music Scores |
Type |
Book Chapter |
| Year |
2017 |
Publication |
International Workshop on Graphics Recognition. GREC 2015.Graphic Recognition. Current Trends and Challenges |
Abbreviated Journal |
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| Volume |
9657 |
Issue |
|
Pages |
103-116 |
| Keywords |
Optical Music Recognition; Handwritten Music Scores; Dynamic Time Warping alignment |
| Abstract |
It is very common to nd di erent versions of the same music work in archives of Opera Theaters. These di erences correspond to modi cations and annotations from the musicians. From the musicologist point of view, these variations are very interesting and deserve study.
This paper explores the alignment of music scores as a tool for automatically detecting the passages that contain such di erences. Given the diculties in the recognition of handwritten music scores, our goal is to align the music scores and at the same time, avoid the recognition of music elements as much as possible. After removing the sta lines, braces and ties, the bar lines are detected. Then, the bar units are described as a whole using the Blurred Shape Model. The bar units alignment is performed by using Dynamic Time Warping. The analysis of the alignment path is used to detect the variations in the music scores. The method has been evaluated on a subset of the CVC-MUSCIMA dataset, showing encouraging results. |
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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 |
Bart Lamiroy; R Dueire Lins |
| 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 |
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ISBN |
978-3-319-52158-9 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG; 600.097; 602.006; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ RFL2017 |
Serial |
2955 |
| Permanent link to this record |
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| Author |
Pau Baiget; Carles Fernandez; Xavier Roca; Jordi Gonzalez |
| Title |
Trajectory-Based Abnormality Categorization for Learning Route Patterns in Surveillance |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Detection and Identification of Rare Audiovisual Cues, Studies in Computational Intelligence |
Abbreviated Journal |
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| Volume |
384 |
Issue |
3 |
Pages |
87-95 |
| Keywords |
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| Abstract |
The recognition of abnormal behaviors in video sequences has raised as a hot topic in video understanding research. Particularly, an important challenge resides on automatically detecting abnormality. However, there is no convention about the types of anomalies that training data should derive. In surveillance, these are typically detected when new observations differ substantially from observed, previously learned behavior models, which represent normality. This paper focuses on properly defining anomalies within trajectory analysis: we propose a hierarchical representation conformed by Soft, Intermediate, and Hard Anomaly, which are identified from the extent and nature of deviation from learned models. Towards this end, a novel Gaussian Mixture Model representation of learned route patterns creates a probabilistic map of the image plane, which is applied to detect and classify anomalies in real-time. Our method overcomes limitations of similar existing approaches, and performs correctly even when the tracking is affected by different sources of noise. The reliability of our approach is demonstrated experimentally. |
| Address |
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| 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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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 |
1860-949X |
ISBN |
978-3-642-24033-1 |
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 @ BFR2012 |
Serial |
2062 |
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| Author |
Dani Rowe; I. Reid; Jordi Gonzalez; Juan J. Villanueva |
| Title |
Unconstrained Multiple-People Tracking |
Type |
Book Chapter |
| Year |
2006 |
Publication |
28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 505–514, ISBN 978–3–540–44412–1 |
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 |
Berlin (Germany) |
| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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| 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 |
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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 |
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Approved |
no |
| Call Number |
ISE @ ise @ RRG2006 |
Serial |
769 |
| Permanent link to this record |
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| Author |
Xavier Perez Sala; Laura Igual; Sergio Escalera; Cecilio Angulo |
| Title |
Uniform Sampling of Rotations for Discrete and Continuous Learning of 2D Shape Models |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Vision Robotics: Technologies for Machine Learning and Vision Applications |
Abbreviated Journal |
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| Volume |
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Issue |
2 |
Pages |
23-42 |
| Keywords |
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| Abstract |
Different methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions are introduced. Moreover, since presented work is oriented to model building applications, it is not limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of view in the case of Procrustes Analysis. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
IGI-Global |
Place of Publication |
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Editor |
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| 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 |
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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 |
MILAB;HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ PIE2012 |
Serial |
2064 |
| Permanent link to this record |
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| Author |
Lluis Pere de las Heras; Ernest Valveny; Gemma Sanchez |
| Title |
Unsupervised and Notation-Independent Wall Segmentation in Floor Plans Using a Combination of Statistical and Structural Strategies |
Type |
Book Chapter |
| Year |
2014 |
Publication |
Graphics Recognition. Current Trends and Challenges |
Abbreviated Journal |
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| Volume |
8746 |
Issue |
|
Pages |
109-121 |
| Keywords |
Graphics recognition; Floor plan analysis; Object segmentation |
| Abstract |
In this paper we present a wall segmentation approach in floor plans that is able to work independently to the graphical notation, does not need any pre-annotated data for learning, and is able to segment multiple-shaped walls such as beams and curved-walls. This method results from the combination of the wall segmentation approaches [3, 5] presented recently by the authors. Firstly, potential straight wall segments are extracted in an unsupervised way similar to [3], but restricting even more the wall candidates considered in the original approach. Then, based on [5], these segments are used to learn the texture pattern of walls and spot the lost instances. The presented combination of both methods has been tested on 4 available datasets with different notations and compared qualitatively and quantitatively to the state-of-the-art applied on these collections. Additionally, some qualitative results on floor plans directly downloaded from the Internet are reported in the paper. The overall performance of the method demonstrates either its adaptability to different wall notations and shapes, and to document qualities and resolutions. |
| Address |
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| 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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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 |
978-3-662-44853-3 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG; ADAS; 600.076; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ HVS2014 |
Serial |
2535 |
| Permanent link to this record |
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| Author |
Hans Stadthagen-Gonzalez; Luis Lopez; M. Carmen Parafita; C. Alejandro Parraga |
| Title |
Using two-alternative forced choice tasks and Thurstone law of comparative judgments for code-switching research |
Type |
Book Chapter |
| Year |
2018 |
Publication |
Linguistic Approaches to Bilingualism |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
67-97 |
| Keywords |
two-alternative forced choice and Thurstone's law; acceptability judgment; code-switching |
| Abstract |
This article argues that 2-alternative forced choice tasks and Thurstone’s law of comparative judgments (Thurstone, 1927) are well suited to investigate code-switching competence by means of acceptability judgments. We compare this method with commonly used Likert scale judgments and find that the 2-alternative forced choice task provides granular details that remain invisible in a Likert scale experiment. In order to compare and contrast both methods, we examined the syntactic phenomenon usually referred to as the Adjacency Condition (AC) (apud Stowell, 1981), which imposes a condition of adjacency between verb and object. Our interest in the AC comes from the fact that it is a subtle feature of English grammar which is absent in Spanish, and this provides an excellent springboard to create minimal code-switched pairs that allow us to formulate a clear research question that can be tested using both methods. |
| Address |
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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 Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
NEUROBIT; no menciona |
Approved |
no |
| Call Number |
Admin @ si @ SLP2018 |
Serial |
2994 |
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| Author |
Henry Velesaca; Patricia Suarez; Dario Carpio; Rafael E. Rivadeneira; Angel Sanchez; Angel Morera |
| Title |
Video Analytics in Urban Environments: Challenges and Approaches |
Type |
Book Chapter |
| Year |
2022 |
Publication |
ICT Applications for Smart Cities |
Abbreviated Journal |
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| Volume |
224 |
Issue |
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Pages |
101-121 |
| Keywords |
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| Abstract |
This chapter reviews state-of-the-art approaches generally present in the pipeline of video analytics on urban scenarios. A typical pipeline is used to cluster approaches in the literature, including image preprocessing, object detection, object classification, and object tracking modules. Then, a review of recent approaches for each module is given. Additionally, applications and datasets generally used for training and evaluating the performance of these approaches are included. This chapter does not pretend to be an exhaustive review of state-of-the-art video analytics in urban environments but rather an illustration of some of the different recent contributions. The chapter concludes by presenting current trends in video analytics in the urban scenario field. |
| Address |
September 2022 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
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| 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 |
ISRL |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-3-031-06306-0 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MSIAU; MACO |
Approved |
no |
| Call Number |
Admin @ si @ VSC2022 |
Serial |
3811 |
| Permanent link to this record |
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| Author |
Bhaskar Chakraborty; Marco Pedersoli; Jordi Gonzalez |
| Title |
View-Invariant Human Action Detection using Component-Wise HMM of Body Parts |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Articulated Motion and Deformable Objects, 5th International Conference |
Abbreviated Journal |
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| Volume |
5098 |
Issue |
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Pages |
208–217 |
| Keywords |
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| Abstract |
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| Address |
Port d'Andratx (Mallorca) |
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Place of Publication |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
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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 |
AMDO |
| Notes |
ISE |
Approved |
no |
| Call Number |
ISE @ ise @ CPG2008 |
Serial |
975 |
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| Author |
David Geronimo; David Vazquez; Arturo de la Escalera |
| Title |
Vision-Based Advanced Driver Assistance Systems |
Type |
Book Chapter |
| Year |
2017 |
Publication |
Computer Vision in Vehicle Technology: Land, Sea, and Air |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
ADAS; Autonomous Driving |
| Abstract |
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Edition |
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Conference |
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| Notes |
ADAS; 600.118 |
Approved |
no |
| Call Number |
ADAS @ adas @ GVE2017 |
Serial |
2881 |
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| Author |
Victoria Ruiz; Angel Sanchez; Jose F. Velez; Bogdan Raducanu |
| Title |
Waste Classification with Small Datasets and Limited Resources |
Type |
Book Chapter |
| Year |
2022 |
Publication |
ICT Applications for Smart Cities. Intelligent Systems Reference Library |
Abbreviated Journal |
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| Volume |
224 |
Issue |
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Pages |
185-203 |
| Keywords |
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| Abstract |
Automatic waste recycling has become a very important societal challenge nowadays, raising people’s awareness for a cleaner environment and a more sustainable lifestyle. With the transition to Smart Cities, and thanks to advanced ICT solutions, this problem has received a new impulse. The waste recycling focus has shifted from general waste treating facilities to an individual responsibility, where each person should become aware of selective waste separation. The surge of the mobile devices, accompanied by a significant increase in computation power, has potentiated and facilitated this individual role. An automated image-based waste classification mechanism can help with a more efficient recycling and a reduction of contamination from residuals. Despite the good results achieved with the deep learning methodologies for this task, the Achille’s heel is that they require large neural networks which need significant computational resources for training and therefore are not suitable for mobile devices. To circumvent this apparently intractable problem, we will rely on knowledge distillation in order to transfer the network’s knowledge from a larger network (called ‘teacher’) to a smaller, more compact one, (referred as ‘student’) and thus making it possible the task of image classification on a device with limited resources. For evaluation, we considered as ‘teachers’ large architectures such as InceptionResNet or DenseNet and as ‘students’, several configurations of the MobileNets. We used the publicly available TrashNet dataset to demonstrate that the distillation process does not significantly affect system’s performance (e.g. classification accuracy) of the student network. |
| Address |
September 2022 |
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| Publisher |
Springer |
Place of Publication |
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ISRL |
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Series Issue |
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Edition |
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ISBN |
978-3-031-06306-0 |
Medium |
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Conference |
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| Notes |
LAMP |
Approved |
no |
| Call Number |
Admin @ si @ |
Serial |
3813 |
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| Author |
Jon Almazan; Lluis Gomez; Suman Ghosh; Ernest Valveny; Dimosthenis Karatzas |
| Title |
WATTS: A common representation of word images and strings using embedded attributes for text recognition and retrieval |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
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Pages |
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| Publisher |
Springer |
Place of Publication |
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Editor |
Analysis”, K. Alahari; C.V. Jawahar |
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Original Title |
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Series on Advances in Computer Vision and Pattern Recognition |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ AGG2020 |
Serial |
3496 |
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| Author |
Xavier Baro; Jordi Vitria |
| Title |
Weighted Dissociated Diploes: An Extended Visual Feature Set |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Computer Vision Systems. 6th International Conference ICVS |
Abbreviated Journal |
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| Volume |
5008 |
Issue |
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Pages |
281–290 |
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| Abstract |
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| Address |
Santorini (Greece) |
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Summary Language |
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LNCS |
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| Notes |
OR;HuPBA;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ BaV2008b |
Serial |
977 |
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| Author |
Josep Llados; Partha Pratim Roy; Jose Antonio Rodriguez; Gemma Sanchez |
| Title |
Word Spotting in Archive Documents using Shape Contexts |
Type |
Book Chapter |
| Year |
2007 |
Publication |
3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478:290–297 |
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| Address |
Girona (Spain) |
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Edition |
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ISBN |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ LRR2007 |
Serial |
779 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
| Title |
Writer Identification in Old Handwritten Music Scores |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology |
Abbreviated Journal |
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Issue |
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Pages |
27-63 |
| Keywords |
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| Abstract |
The aim of writer identification is determining the writer of a piece of handwriting from a set of writers. In this paper we present a system for writer identification in old handwritten music scores. Even though an important amount of compositions contains handwritten text in the music scores, the aim of our work is to use only music notation to determine the author. The steps of the system proposed are the following. First of all, the music sheet is preprocessed and normalized for obtaining a single binarized music line, without the staff lines. Afterwards, 100 features are extracted for every music line, which are subsequently used in a k-NN classifier that compares every feature vector with prototypes stored in a database. By applying feature selection and extraction methods on the original feature set, the performance is increased. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving a recognition rate of about 95%. |
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Thesis |
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| Publisher |
IGI-Global |
Place of Publication |
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Editor |
Copnstantin Papaodysseus |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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| Series Volume |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ FLS2012 |
Serial |
1828 |
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