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Autor: Hugo Boujut, Tim M. den Uyl, H. Emrah Tasli, Titus Zaharia

Publikováno v: FG
IEEE 11th International Conference and Workshops on Automatic Face and Gesture Recognition (FG 2015)
IEEE 11th International Conference and Workshops on Automatic Face and Gesture Recognition (FG 2015), 2015, Ljubljana, Slovenia. 2015, 〈10.1109/FG.2015.7163173〉
IEEE 11th International Conference and Workshops on Automatic Face and Gesture Recognition (FG 2015), 2015, Ljubljana, Slovenia. ⟨10.1109/FG.2015.7163173⟩

This demonstration paper presents a real-time facial character animation application where the facial expressions of a person are simultaneously synthesized on a virtual avatar. The proposed method does not require any training or calibration for the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f6888fcac22a53b38bce7b7d2a82358
https://doi.org/10.1109/fg.2015.7163173

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A gesture expressive model based on Laban qualities

Autor: Arthur Truong, Titus Zaharia, Hugo Boujut

Publikováno v: 2014 IEEE International Conference on Consumer Electronics-Berlin (ICCE-Berlin)
2014 IEEE International Conference on Consumer Electronics-Berlin (ICCE-Berlin), Sep 2014, Berlin, Germany. pp.168-172
ICCE-Berlin

Today, gesture analysis lacks of global models able to characterize motion expressivity and its communicational character. In this paper, we propose a set of new gesture descriptors inspired from Laban Movement Analysis (LMA) and based on 3D body tra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ded0f18ac236074ccd8c9d5ae5a0fd85
https://hal.archives-ouvertes.fr/hal-01111827

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A Fully Automatic Framework for Building 3D Animated Avatars

Autor: Mejdi Ourir, Hugo Boujut, Titus Zaharia

The face animation process still requires an important amount of manual human interaction involving highly qualified artists with strong knowledge in facial anatomy. In this paper, we introduce a framework for automatic construction of 3D animated av

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f2f0bd3aca49e762bc02eb346d712be
https://hal.archives-ouvertes.fr/hal-01111825

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Laban descriptors for gesture recognition and emotional analysis

Autor: Arthur Truong, Hugo Boujut, Titus Zaharia

Publikováno v: CGI’14, 31st Computer Graphics International Conference
CGI’14, 31st Computer Graphics International Conference, Jun 2014, Sydney, Australia. 2014
The Visual Computer
The Visual Computer, Springer Verlag, 2016, 32 (1), pp.83-98. ⟨10.1007/s00371-014-1057-8⟩
Visual Computer
Visual Computer, Springer Verlag, 2016, 32 (1), pp.83-98. 〈10.1007/s00371-014-1057-8〉
CGI’14, 31st Computer Graphics International Conference, Jun 2014, Sydney, Australia
Visual Computer, Springer Verlag, 2016, 32 (1), pp.83-98. ⟨10.1007/s00371-014-1057-8⟩

International audience; In this paper, we introduce a new set of 3D gesture descriptors based on the labanmovement analysis model. The proposed descriptors are used in a machine learning framework (with SVM and different random forest techniques) for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf035d82d598ef910405ad19ae47b494
https://hal.archives-ouvertes.fr/hal-01111425

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Fusion of Multiple Visual Cues for Object Recognition in Videos

Autor: Iván González-Díaz, Vincent Buso, Jenny Benois-Pineau, Hugo Boujut

Publikováno v: Fusion in Computer Vision-Understanding Complex Visual Content (Advances in Computer Vision and Pattern Recognition)
Bogdan Ionescu ; Jenny Benois-Pineau ; Tomas Piatrik ; Georges Quénot. Fusion in Computer Vision-Understanding Complex Visual Content (Advances in Computer Vision and Pattern Recognition), springer, pp.Pages 79-107, 2014, 978-3-319-05696-8. ⟨10.1007/978-3-319-05696-8⟩
Fusion in Computer Vision ISBN: 9783319056951
Fusion in Computer Vision

In this chapter, we are interested in the open problem of meaningful object recognition in video. Recently the approaches which estimate human visual attention and incorporate it into the whole visual content understanding process have become popular

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ef750faa272d5dddf212e949034a46
https://hal.archives-ouvertes.fr/hal-01440056

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No-Reference Video quality assessment of H.264 video streams based on semantic saliency maps

Autor: Ofer Hadar, Patrick Bonnet, Hugo Boujut, Toufik Ahmed, Jenny Benois-Pineau

Publikováno v: Image Quality and System Performance IX
IS&T / SPIE Electronic Imaging
IS&T / SPIE Electronic Imaging, Jan 2012, San Francisco, United States. pp.8293-28

International audience; The paper contributes to No-Reference video quality assessment of broadcasted HD video over IP networks and DVB. In this work we have enhanced our bottom-up spatio-temporal saliency map model by considering semantics of the vi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b174e2e3a0ce565a5c1ab0ad13fc1465
https://hal.archives-ouvertes.fr/hal-00663006/file/SPIE_EI_2012_paper_submitted.pdf

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Fusion of Multiple Visual Cues for Visual Saliency Extraction from Wearable Camera Settings with Strong Motion

Autor: Jenny Benois-Pineau, Hugo Boujut, Rémi Mégret

Publikováno v: Computer Vision – ECCV 2012. Workshops and Demonstrations ISBN: 9783642338847
ECCV Workshops (3)
ECCV 2012
Computer Vision-ECCV 2012. Workshops and Demonstrations
12th European Conference on Computer Vision (ECCV 2012)
12th European Conference on Computer Vision (ECCV 2012), Oct 2012, Firenze, Italy. pp.436-445, ⟨10.1007/978-3-642-33885-4_44⟩

International audience; In this paper we are interested in the saliency of visual content from wearable cameras. The subjective saliency in wearable video is studied first due to the psycho-visual experience on this content. Then the method for objec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48057f76f72137580109d650cb73a6e1
https://doi.org/10.1007/978-3-642-33885-4_44

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A Metric For No-Reference video quality assessment for HD TV Delivery based on Saliency Maps

Autor: Patrick Bonnet, Jenny Benois-Pineau, Toufik Ahmed, Ofer Hadar, Hugo Boujut

Publikováno v: Multimedia and Expo (ICME), 2011 IEEE International Conference on
ICME 2011 Workshop on Hot Topics in Multimedia Delivery (HotMD)
ICME 2011 Workshop on Hot Topics in Multimedia Delivery (HotMD), Jul 2011, Barcelone, Spain. pp.1-5, 1945-7871, ⟨10.1109/ICME.2011.6012136⟩
ICME

International audience; This paper contributes to objective video quality assessment of broadcasted HDTV content without reference. In this context we present a new No-Reference video quality metric taking into account the behavior of Human Visual Sy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c15c6779e57e34cd4bbc28c6b8676eeb
https://hal.archives-ouvertes.fr/hal-00589182

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Weighted-MSE based on saliency map for assessing video quality of H.264 video streams

Autor: Toufik Ahmed, Patrick Bonnet, Jenny Benois-Pineau, Ofer Hadar, Hugo Boujut

Publikováno v: Image Quality and System Performance VIII
IS&T / SPIE Electronic Imaging
IS&T / SPIE Electronic Imaging, Jan 2011, San Francisco, United States. pp.78670X

International audience; Human vision system is very complex and has been studied for many years specifically for purposes of efficient encoding of visual, e.g. video content from digital TV. There have been physiological and psychological evidences w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::739e7e2c32001a015be44b835369bcee
https://doi.org/10.1117/12.876471

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IRIM at TRECVID 2010: Semantic Indexing and Instance Search

Publikováno v: Scopus-Elsevier
TRECVID 2010-TREC Video Retrieval Evaluation workshop
TRECVID 2010-TREC Video Retrieval Evaluation workshop, Nov 2010, Gaithersburg, MD, United States
HAL

International audience; The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes our participation to the TRECVID 2010 semantic indexing and instance search tasks. For the semantic indexing tas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::51233d210e92ed63e0dd9bbd738c1a9e
https://hal.science/hal-00591099

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