Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Victoria Yanulevskaya"'
Publikováno v:
Image and Vision Computing. 31:31-42
In this paper we propose a novel approach to the task of salient object detection. In contrast to previous salient object detectors that are based on a spotlight attention theory, we follow an object-based attention theory and incorporate the notion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0a57f0407a2980f682da1e52920b829
https://doi.org/10.1016/j.imavis.2012.09.009
https://doi.org/10.1016/j.imavis.2012.09.009
Publikováno v:
Cognitive computation, 3(1), 94-104. Springer New York
Cognitive Computation
Cognitive computation, 3(1), 94-104. SPRINGER
Cognitive Computation
Cognitive computation, 3(1), 94-104. SPRINGER
The problem of predicting where people look at, or equivalently salient region detection, has been related to the statistics of several types of low-level image features. Among these features, contrast and edge information seem to have the highest co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bde53b2bf195a53fb5a7ed640b54e7ec
https://doi.org/10.1007/s12559-010-9087-7
https://doi.org/10.1007/s12559-010-9087-7
Autor:
Almila Akdag Salah, Andreza Sartori, Victoria Yanulevskaya, Jasper Uijlings, Nicu Sebe, Elia Bruni
Publikováno v:
Sartori, A, Yanulevskaya, V, Salah, A A, Uijlings, J, Bruni, E & Sebe, N 2015, ' Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory ', ACM Transactions on Interactive Intelligent Systems, vol. 5, no. 2, 8 . https://doi.org/10.1145/2768209
When artists express their feelings through the artworks they create, it is believed that the resulting works transform into objects with “emotions” capable of conveying the artists' mood to the audience. There is little to no dispute about this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa0800a8687faa4763facbb2d0ce2563
http://hdl.handle.net/11572/114851
http://hdl.handle.net/11572/114851
Publikováno v:
ICPR
This paper studies the performance of recorded eye movements and computational visual attention models (i.e. saliency models) in the recognition of emotional valence of an image. In the first part of this study, it employs eye movement data (fixation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dda37b52788c9d0167f80196d53e013c
https://doi.org/10.1109/icpr.2014.798
https://doi.org/10.1109/icpr.2014.798
Publikováno v:
CVPR
Yanulevskaya, V, Uijlings, J R R & Sebe, N 2014, Learning to Group Objects . in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on . Institute of Electrical and Electronics Engineers (IEEE), pp. 3134-3141 . https://doi.org/10.1109/CVPR.2014.401
Yanulevskaya, V, Uijlings, J R R & Sebe, N 2014, Learning to Group Objects . in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on . Institute of Electrical and Electronics Engineers (IEEE), pp. 3134-3141 . https://doi.org/10.1109/CVPR.2014.401
This paper presents a novel method to generate a hypothesis set of class-independent object regions. It has been shown that such object regions can be used to focus computer vision techniques on the parts of an image that matter most leading to signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71a67a2c3a996a8be3d98c139ef5cae0
https://doi.org/10.1109/cvpr.2014.401
https://doi.org/10.1109/cvpr.2014.401
Autor:
Jasper Uijlings, Jan-Mark Geusebroek, Victoria Yanulevskaya, Arnold W. M. Smeulders, Nicu Sebe
Publikováno v:
Journal of Vision, 13(13):27. Association for Research in Vision and Ophthalmology Inc.
State-of-the-art bottom-up saliency models often assign high saliency values at or near high-contrast edges, whereas people tend to look within the regions delineated by those edges, namely the objects. To resolve this inconsistency, in this work we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82404f2404b2fbc21695e20e2518cc1
https://hdl.handle.net/11245/1.405704
https://hdl.handle.net/11245/1.405704
Autor:
Elia Bruni, Victoria Yanulevskaya, Francesca Bacci, Jasper Uijlings, Nicu Sebe, Andreza Sartori, Elisa Zamboni, David Melcher
Publikováno v:
ACM Multimedia
Most artworks are explicitly created to evoke a strong emotional response. During the centuries there were several art movements which employed different techniques to achieve emotional expressions conveyed by artworks. Yet people were always consist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ebea18b76a97583e24f0afd4a83431
https://doi.org/10.1145/2393347.2393399
https://doi.org/10.1145/2393347.2393399
Publikováno v:
ACM Multimedia
This paper describes an attempt to bridge the semantic gap between computer vision and scene understanding employing eye movements. Even as computer vision algorithms can efficiently detect scene objects, discovering semantic relationships between th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::641461d4d736f849bf685ec8835f12a5
https://doi.org/10.1145/2072298.2072305
https://doi.org/10.1145/2072298.2072305
Autor:
A.K. Herbold, J.C. van Gemert, Victoria Yanulevskaya, Nicu Sebe, K. Roth, Jan-Mark Geusebroek
Publikováno v:
15th IEEE International Conference on Image Processing: ICIP 2008, 101-104
STARTPAGE=101;ENDPAGE=104;TITLE=15th IEEE International Conference on Image Processing: ICIP 2008
ICIP
STARTPAGE=101;ENDPAGE=104;TITLE=15th IEEE International Conference on Image Processing: ICIP 2008
ICIP
Can a machine learn to perceive emotions as evoked by an artwork? Here we propose an emotion categorization system, trained by ground truth from psychology studies. The training data contains emotional valences scored by human subjects on the Interna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ad8f38d7b6e323b5c6053ab1e79a991
https://hdl.handle.net/11245/1.295452
https://hdl.handle.net/11245/1.295452