One paper accepted at ACM Multimedia 2011 (long paper) NEW !
One paper accepted in iPerception journal NEW !
Research Areas
Visual attention understanding and modelling: 3 research axis
Computational modelling of the visual attention:
From left to right: original picture, heat map and visual scan path (20 first fixation points).
Leçon d'anatomie, Rembrandt
Déjeuner sur l'herbe, Manet
More on this page: here (database of eye tracking data, download, special session ICIP'09...).
Relationship between visual fixations and scene context:
Would it be possible to categorize fixations as attentional fixations, semantic fixations...?
Is there a particular pattern of gaze deployment for a given scene?
Examining the gaze deployment under a quality assessment task: application to quality metric.
A. Ninassi, From local perception of coding distortions to the overall visual quality evaluation of images and video. Contribution of visual attention in visual quality assessment,
PhD thesis, university of Nantes, 2009.
Do video coding impairments disturb the visual attention deployment?, Elsevier, Signal Processing: Image Communication, 2010. [IF=0.836]
From left to right: Original, degraded pictures and saliency map (Click to get the full resolution picture.) [Project page] NEW !
Overt visual attention for free-viewing and quality assessment tasks. Impact of the regions of interest on a video quality metric., accepted in Elsevier, Signal Processing: Image Communication. [IF=0.836]
Saliency-based applications:
Perceptual/selective compression: some details in O. Le Meur et al. Selective H.264 video coding based on a saliency map, Not published, 2005. [pdf]
Content-aware image cropping:
The image is cropped based on a saliency map. The basic scheme, see below, illustrates the main idea:
More details in:
O. Le Meur, X. Castellan, P. Le Callet, D. Barba, Efficient saliency-based repurposing method,
ICIP, 2006. [pdf][poster]
C. Chamaret and O. Le Meur, Attention-based video reframing: validation using eye-tracking,
ICPR, 2008. [pdf]
Data-pruning based on saliency: Y. Andam, Master Thesis 2010. Below, an example based on Weickert's study. From the edges of a picture, the picture is reconstructed by using a diffusion scheme:
Master 2 Psychologie de la cognition here, University of Paris 8 (Psychologie des processus cognitifs, Mesure et modelisation) (2010-2012):
Selective visual attention: from experiments to computational models [pdf]
Examples of Pratical Works:
Examples of pratical works (seam carving, quality assessment, compression). Glance at the page [here] NEW !
Selected Publications
Under review
O. Le Meur and T. Baccino, Methods for comparing scanpaths and saliency maps: strengths and weaknesses, BRM.
PHD Thesis
O. Le Meur, Attention sélective en visualisation d'images fixes et animées affichées sur écran: modèles et évaluation de performances - applications
, University of Nantes, 2005. [pdf]
Sensitivity of human visual attention to artifacts of coding: here
A. Ninassi, De la perception locale des distortions de codage à l'appréciation globale de la qualité visuelle des images et vidéos. Apport de l'attention visuelle dans le jugement de la qualité
, University of Nantes, 2009. [pdf]
Journals
11. B. Follet, O. Le Meur and T. Baccino New insights on ambient and focal visual fixations using an automatic classification algorithm, i-Perception, vol. 2(6), pp. 592–610 2011.
[i-perception][web page (paper)]
10. F. Urban, B. Follet, C. Chamaret, O. Le Meur and T. Baccino Medium spatial frequencies, a strong predictor of salience, Cognitive Computation: Volume 3, Issue 1, pages 37-47, 2011
DOI: 10.1007/s12559-010-9086-8 (Special issue on Saliency, Attention, Active Visual Search, and Picture Scanning). Springer LinkFull text Preprint.
9. B. Follet, O. Le Meur and T. Baccino Modeling visual attention on scenes, Studia Informatica Universalis, Vol. 8, Issue 4, pp. 150-167, 2010.
[pdf]
8. O. Le Meur, A. Ninassi, P. Le Callet and D. Barba
Do video coding impairments disturb the visual attention deployment?,
Elsevier, Signal Processing: Image Communication, vol. 25, Issue 8, pp. 597-609, September 2010. DOI information: 10.1016/j.image.2010.05.008 [preprint pdf] [IF=0.836]
[Project page] NEW !
7. O. Le Meur, A. Ninassi, P. Le Callet and D. Barba
Overt visual attention for free-viewing and quality assessment tasks. Impact of the regions of interest on a video quality metric,
Elsevier, Signal Processing: Image Communication, vol. 25, Issue 7, pp. 547-558, August 2010. DOI information: 10.1016/j.image.2010.05.006 [preprint pdf] [IF=0.836]
6. O. Le Meur and J.C. Chevet
Relevance of a feed-forward model of visual attention for goal-oriented and free-viewing tasks,
IEEE Trans. On Image Processing, vol. 19, No. 11, November 2010 pp. 2801-2813. DOI information: 10.1109/TIP.2010.2052262 [preprint pdf][IF=3.315]
5. O. Le Meur, S. Cloarec and P. Guillotel
Automatic content repurposing for Mobile applications,
SMPTE Motion Imaging journal, January/February 2010.
4. A. Ninassi, O. Le Meur, P. Le Callet and D. Barba
Considering temporal variations of spatial visual distortions in video quality assessment,
IEEE Signal Processing Special Issue On Visual Media Quality Assessment, 2009. [pdf]
3. O. Le Meur, P. Le Callet and D. Barba,
Predicting visual fixations on video based on low-level visual features,
Vision Research, Vol. 47/19 pp 2483-2498, Sept. 2007. [pdf] [IF=2.05]
2. O. Le Meur, P. Le Callet and D. Barba,
Construction d’images miniatures avec recadrage automatique basée sur un modèle perceptuel bio-inspiré,
Numéro spécial de la Revue Traitement du Signal (TS), Systèmes de traitement et d'analyse des Images, Vol.24, N°5, pp. 323-336, 2007. [pdf]
1. O. Le Meur, P. Le Callet, D. Barba and D. Thoreau, A coherent computational approach to model the bottom-up visual attention,
IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 28, N°5, May 2006. [pdf] [IF=4.3]
Conferences
20. O. Le Meur, T. Baccino and A. Roumy, Prediction of the Inter-Observer Visual Congruency (IOVC) and application to image ranking, ACM Multimedia (long paper) 2011. [Acceptance Rate=17%]
[pdf][presentation][poster][Project page] NEW !
19. B. Follet, O. Le Meur and T. Baccino, Features of ambient and focal fixations on natural visual scenes, ECEM 2011.
[pdf]
18. O. Le Meur, Robustness and Repeatability of saliency models subjected to visual degradations, ICIP 2011.
[pdf].[pdf poster]. NEW !
17. O. Le Meur, J. Gautier and C. Guillemot, Examplar-based inpainting based on local geometry, ICIP 2011. [Project page][pdf].[pdf poster]. NEW !
16. J. Gautier, O. Le Meur and C. Guillemot, Depth-based image completion for View Synthesis, 3DTV Conf. 2011. [Acceptance Rate=??%] [pdf][Project page] NEW !
15. O. Le Meur, Predicting saliency using two contextual priors: the dominant depth and the horizon line,
IEEE International Conference on Multimedia & Expo (ICME 2011) 2011 [Acceptance Rate=30%] [pdf][Project page] NEW !
14. C. Chamaret, O. Le Meur and J.C. Chevet, Spatio-temporal combination of saliency maps and eye-tracking assessment of different strategies,
ICIP, pp. 1077-1080, 2010 [Acceptance Rate=47%] [pdf].[pdf poster].
13. C. Chamaret, O. Le Meur, P. Guillotel and J.C. Chevet, How to measure the relevance of a retargeting approach?, Workshop Media retargeting, ECCV 2010.
[pdf].[pdf presentation].
[Project page] NEW !
12. C. Chamaret, S. Godeffroy, P. Lopez and O. Le Meur, Adaptive 3D Rendering based on Region-of-Interest,
SPIE 2010 [pdf]
11. O. Le Meur and P. Le Callet, What we see is most likely to be what matters: visual attention and applications,
ICIP, 2009 [pdf] [more here] [Acceptance Rate=45%]
10. C. Chamaret and O. Le Meur, Attention-based video reframing: validation using eye-tracking,
ICPR, 2008. [pdf]
9. A. Ninassi, O. Le Meur, P. Le Callet, D. Barba, Which Semi-Local Visual Masking Model For Wavelet Based Image Quality Metric?,
ICIP, 2008. [pdf]
8. A. Ninassi, O. Le Meur, P. Le Callet, D. Barba, Does where you gaze on an image affect your perception of quality? Applying visual attention to image quality metric,
ICIP, 2007. [pdf][oral presentation]
7. A. Ninassi, O. Le Meur, P. Le Callet, D. Barba, Task impact on the visual attention in subjective image quality assessment,
EUSIPCO, 2006. [pdf][oral presentation]
6. O. Le Meur, X. Castellan, P. Le Callet, D. Barba, Efficient saliency-based repurposing method,
ICIP, 2006. [pdf][poster]
5. O. Le Meur, P. Le Callet, D. Barba, D. Thoreau, A human visual model-based approach of the visual attention and performance evaluation
, SPIE HVEI, 2005. [pdf].
4. O. Le Meur, P. Le Callet, D. Barba, D. Thoreau, Modelisation spatio-temporelle de l’attention visuelle, CORESA, 2005. [pdf].
3. O. Le Meur, P. Le Callet, D. Barba, D. Thoreau, E. Francois, From low level perception to high level perception, a coherent
approach for visual attention modeling, SPIE HVEI, 2004. [pdf].
2. O. Le Meur, P. Le Callet, D. Barba, D. Thoreau, Performance assessment of a visual attention system entirely based on a human vision modelling
, ICIP, 2004. [pdf][poster].
1. O. Le Meur, P. Le Callet, D. Barba, D. Thoreau, Bottom-up visual attention modeling : quantitative comparison of predicted saliency maps with observers eye-tracking data
, ECVP, 2004. [poster].
Not Published
1. O. Le Meur, P. Le Callet, D. Barba Selective H.264 video coding based on a saliency map, Not published. [pdf].