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Author |
Aymen Azaza |
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Title |
Context, Motion and Semantic Information for Computational Saliency |
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Book Whole |
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Year |
2018 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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The main objective of this thesis is to highlight the salient object in an image or in a video sequence. We address three important—but in our opinion
insufficiently investigated—aspects of saliency detection. Firstly, we start
by extending previous research on saliency which explicitly models the information provided from the context. Then, we show the importance of
explicit context modelling for saliency estimation. Several important works
in saliency are based on the usage of object proposals. However, these methods
focus on the saliency of the object proposal itself and ignore the context.
To introduce context in such saliency approaches, we couple every object
proposal with its direct context. This allows us to evaluate the importance
of the immediate surround (context) for its saliency. We propose several
saliency features which are computed from the context proposals including
features based on omni-directional and horizontal context continuity. Secondly,
we investigate the usage of top-downmethods (high-level semantic
information) for the task of saliency prediction since most computational
methods are bottom-up or only include few semantic classes. We propose
to consider a wider group of object classes. These objects represent important
semantic information which we will exploit in our saliency prediction
approach. Thirdly, we develop a method to detect video saliency by computing
saliency from supervoxels and optical flow. In addition, we apply the
context features developed in this thesis for video saliency detection. The
method combines shape and motion features with our proposed context
features. To summarize, we prove that extending object proposals with their
direct context improves the task of saliency detection in both image and
video data. Also the importance of the semantic information in saliency
estimation is evaluated. Finally, we propose a newmotion feature to detect
saliency in video data. The three proposed novelties are evaluated on standard
saliency benchmark datasets and are shown to improve with respect to
state-of-the-art. |
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October 2018 |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Editor |
Joost Van de Weijer;Ali Douik |
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978-84-945373-9-4 |
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LAMP; 600.120 |
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Call Number |
Admin @ si @ Aza2018 |
Serial |
3218 |
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Author |
Sergio Escalera; Oriol Pujol; J. Mauri; Petia Radeva |
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Title |
IVUS Tissue Characterization with Sub-class Error-correcting Output Codes |
Type |
Conference Article |
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Year |
2008 |
Publication |
Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on, pp. 1–8, 23–28 juny 2008. |
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Intravascular ultrasound (IVUS) represents a powerful imaging technique to explore coronary vessels and to study their morphology and histologic properties. In this paper, we characterize different tissues based on Radio Frequency, texture-based, slope-based, and combined features. To deal with the classification of multiple tissues, we require the use of robust multi-class learning techniques. In this context, we propose a strategy to model multi-class classification tasks using sub-classes information in the ECOC framework. The new strategy splits the classes into different subsets according to the applied base classifier. Complex IVUS data sets containing overlapping data are learnt by splitting the original set of classes into sub-classes, and embedding the binary problems in a problem-dependent ECOC design. The method automatically characterizes different tissues, showing performance improvements over the state-of-the-art ECOC techniques for different base classifiers and feature sets. |
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CVPR |
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MILAB;HuPBA |
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no |
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Call Number |
BCNPCL @ bcnpcl @ EPM2008 |
Serial |
1041 |
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Author |
Alfons Juan-Ciscar; Gemma Sanchez |
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Title |
PRIS 2008. Pattern Recognition in Information Systems. Proceedings of the 8th international Workshop on Pattern Recognition in Information systems – PRIS 2008, in conjunction with ICEIS 2008 |
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2008 |
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Barcelona (Spain) |
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DAG |
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no |
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Call Number |
DAG @ dag @ JuS2008 |
Serial |
1054 |
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Author |
Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title |
Colour induction effects are modelled by a low-level multiresolution wavelet framework |
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2008 |
Publication |
Perception 37(Suppl.): 107 |
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CIC |
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no |
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Call Number |
CAT @ cat @ OVP2008b |
Serial |
1055 |
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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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Year |
2008 |
Publication |
19th International Conference on Pattern Recognition. |
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Tampa, USA |
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ICPR |
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DAG |
Approved |
no |
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Call Number |
DAG @ dag @ FVS2008a |
Serial |
1064 |
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| Permanent link to this record |
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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 |
Type |
Conference Article |
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Year |
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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ICPR |
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DAG |
Approved |
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Call Number |
DAG @ dag @ KRA2008 |
Serial |
1065 |
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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 |
Type |
Conference Article |
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Year |
2008 |
Publication |
19th International Conference on Pattern Recognition |
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Tampa (Florida) |
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ICPR |
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DAG |
Approved |
no |
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Call Number |
DAG @ dag @ RPL2008d |
Serial |
1073 |
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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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Year |
2008 |
Publication |
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 |
Ferran Diego; Daniel Ponsa; Joan Serrat; Antonio Lopez |
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Title |
Video Alignment for Difference-spotting |
Type |
Miscellaneous |
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Year |
2008 |
Publication |
Proceedings of the ECCV workshop on Multi–camera and Multi–modal Sensor Fusion Algorithms and Applications (M2SFA2 2008), Marseille (France) |
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video alignment |
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ADAS |
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ADAS @ adas @ DPS2008 |
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1079 |
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Author |
Enric Marti; Ferran Poveda; Antoni Gurgui; Jaume Rocarias; Debora Gil; Aura Hernandez-Sabate |
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Title |
Una experiencia de estructura, funcionamiento y evaluación de la asignatura de graficos por computador con metodologia de aprendizaje basado en proyectos |
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Miscellaneous |
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Year |
2013 |
Publication |
IV Congreso Internacional UNIVEST |
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IV Congreso Internacional UNIVEST |
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UNIVEST |
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IAM; ADAS |
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no |
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Call Number |
Admin @ si @ MPG2013b |
Serial |
2384 |
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Author |
Dani Rowe |
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Title |
Towards Robust Multiple-Target Tracking in Unconstrained Human-Populated Environments |
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Miscellaneous |
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2008 |
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CVC–UAB |
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978–84–935251–5–6 |
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Admin @ si @ Row2008 |
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1103 |
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Author |
Carme Julia |
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Title |
Missig Data Matrix Factorization Addressing the Structure from Motion Problem |
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Miscellaneous |
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2008 |
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CVC–UAB |
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Bellaterra |
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978–84–935251–6–3 |
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Admin @ si @ Jul2008 |
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1104 |
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Author |
Miquel Ferrer |
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Title |
Theory and Algorithms on the Median Graph. Application to Graph-based Classification and Clustering |
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2008 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Francesc Serratosa Casanelles;Ernest Valveny |
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978-84-935251-7-0 |
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Admin @ si @ Fer2008 |
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1105 |
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Author |
Sergio Escalera |
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Title |
Coding and Decoding Design of ECOCs for Multi-Class Pattern and Object Recognition |
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2008 |
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MILAB; HuPBA |
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BCNPCL @ bcnpcl @ Esc2008a |
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1106 |
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Author |
Daniel Ponsa |
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Title |
Model-Based Visual Localisation of Contours and Vehicles |
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Book Whole |
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2007 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Phd Thesis |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Antonio Lopez;Xavier Roca |
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978-84-935251-3-2 |
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ADAS |
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no |
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ADAS @ adas @ Pon2007 |
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1107 |
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