B. André, T. Vercauteren, A. M. Buchner, M. B. Wallace, and N. Ayache, Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos, pp.289-296, 2011.
DOI : 10.1037/0033-2909.111.1.172

B. André, T. Vercauteren, A. M. Buchner, M. B. Wallace, and N. Ayache, A smart atlas for endomicroscopy using automated video retrieval, Medical Image Analysis, vol.15, issue.4, pp.460-476, 2011.
DOI : 10.1016/j.media.2011.02.003

B. André, T. Vercauteren, A. M. Buchner, M. B. Wallace, and N. Ayache, Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval, IEEE Transactions on Medical Imaging, vol.31, issue.6, pp.31-1276, 2012.
DOI : 10.1109/TMI.2012.2188301

A. M. Buchner, M. W. Shahid, M. G. Heckman, M. Krishna, M. Ghabril et al., Comparison of Probe-Based Confocal Laser Endomicroscopy With Virtual Chromoendoscopy for Classification of Colon Polyps, Gastroenterology, vol.138, issue.3, pp.834-876, 2010.
DOI : 10.1053/j.gastro.2009.10.053

M. Cooper, T. Liu, and E. Rieffel, Video Segmentation via Temporal Pattern Classification, IEEE Transactions on Multimedia, vol.9, issue.3, pp.610-618, 2007.
DOI : 10.1109/TMM.2006.888015

U. Gargi, R. Kasturi, and S. H. Strayer, Performance characterization of video-shotchange detection methods, pp.1-13, 2000.

W. Hu, D. N. An-xie, L. Li, X. Zeng, and S. Maybank, A survey on visual content-based video indexing and retrieval, pp.41-797, 2011.

B. Li and M. H. Meng, Capsule endoscopy video Boundary Detection, 2011 IEEE International Conference on Information and Automation, pp.373-378, 2011.
DOI : 10.1109/ICINFA.2011.5949020

C. Liu, J. Yuen, and A. Torralba, SIFT Flow: Dense Correspondence Across Scenes and Its Applications, pp.978-994, 2011.
DOI : 10.1007/978-3-319-23048-1_2

D. G. Lowe, Distinctive image features from scale-invariant keypoints 60, pp.91-110, 2004.
DOI : 10.1023/b:visi.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

J. Oh, S. Hwang, J. Lee, W. Tavanapong, J. Wong et al., Informative frame classification for endoscopy video, Medical Image Analysis, vol.11, issue.2, pp.110-127, 2007.
DOI : 10.1016/j.media.2006.10.003

Z. Sun, B. Li, R. Zhou, H. Zheng, and M. H. Meng, Removal of non-informative frames for wireless capsule endoscopy video segmentation, 2012 IEEE International Conference on Automation and Logistics, pp.294-299, 2012.
DOI : 10.1109/ICAL.2012.6308214

T. Vercauteren, A. Meining, F. Lacombe, and A. Perchant, Real time autonomous video image registration for endomicroscopy: fighting the compromises, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XV, 2008.
DOI : 10.1117/12.763089
URL : https://hal.archives-ouvertes.fr/inria-00616123

H. Wang, A. Kläser, C. Schmid, and C. L. Liu, Dense Trajectories and Motion Boundary Descriptors for Action Recognition, International Journal of Computer Vision, vol.73, issue.2, pp.60-79, 2013.
DOI : 10.1007/s11263-012-0594-8
URL : https://hal.archives-ouvertes.fr/hal-00725627

J. Zhang, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007.
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574