Detecting repeats for video structuring, Multimedia Tools and Applications, vol.13, issue.3, pp.233-252, 2007. ,
DOI : 10.1007/s11042-007-0180-1
URL : https://hal.archives-ouvertes.fr/inria-00568177
Automatic TV Broadcast Structuring, International Journal of Digital Multimedia Broadcasting, vol.13, issue.3-4, 2010. ,
DOI : 10.1109/TMM.2005.861286
URL : https://hal.archives-ouvertes.fr/inria-00514468
TV Stream Structuring, ISRN Signal Processing, vol.214, p.17, 2011. ,
DOI : 10.1109/TMM.2006.889352
URL : https://hal.archives-ouvertes.fr/inria-00601845
Finding and identifying unknown commercials using repeated video sequence detection, Computer Vision and Image Understanding, vol.103, issue.1, pp.80-88, 2006. ,
DOI : 10.1016/j.cviu.2006.03.002
Efficient Short Video Repeat Identification With Application to News Video Structure Analysis, IEEE Transactions on Multimedia, vol.9, issue.3, pp.600-609, 2007. ,
DOI : 10.1109/TMM.2006.889352
Mining repetitive clips through finding continuous paths, Proceedings of the 15th international conference on Multimedia , MULTIMEDIA '07, pp.289-292, 2007. ,
DOI : 10.1145/1291233.1291294
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.82.896
Efficient k-nearest neighbor graph construction for generic similarity measures, Proceedings of the 20th international conference on World wide web, WWW '11, 2011. ,
DOI : 10.1145/1963405.1963487
Scalable k-NN graph construction for visual descriptors, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247790
<title>Audio-visual event detection based on mining of semantic audio-visual labels</title>, Storage and Retrieval Methods and Applications for Multimedia 2004, pp.292-299, 2003. ,
DOI : 10.1117/12.524572
A non-supervised approach for repeated sequence detection in TV broadcast streams, Signal Processing: Image Communication, vol.23, issue.7, pp.525-537, 2008. ,
DOI : 10.1016/j.image.2008.04.018
Real time repeated video sequence identification, Computer Vision and Image Understanding, vol.93, issue.3, pp.310-327, 2004. ,
DOI : 10.1016/j.cviu.2003.10.005
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.578.2230
Mining tv broadcasts for recurring video sequences, In: ACM. CIVR '09 ACM, vol.28, pp.1-288, 2009. ,
Locality sensitive hashing: A comparison of hash function types and querying mechanisms, Pattern Recognition Letters, vol.31, issue.11, 2010. ,
DOI : 10.1016/j.patrec.2010.04.004
Product Quantization for Nearest Neighbor Search, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.1, pp.117-128, 2011. ,
DOI : 10.1109/TPAMI.2010.57
Modeling the shape of the scene: A holistic representation of the spatial envelope, International Journal of Computer Vision, vol.42, issue.3, pp.145-175, 2001. ,
DOI : 10.1023/A:1011139631724
Evaluation of GIST descriptors for web-scale image search, Proceeding of the ACM International Conference on Image and Video Retrieval, CIVR '09, 2009. ,
DOI : 10.1145/1646396.1646421
URL : https://hal.archives-ouvertes.fr/inria-00394212
Fast Structuring of Large Television Streams Using Program Guides, pp.222-231, 2007. ,
DOI : 10.1007/978-3-540-71545-0_17
Similarity estimation techniques from rounding algorithms, Proceedings of the thiry-fourth annual ACM symposium on Theory of computing , STOC '02, pp.380-388, 2002. ,
DOI : 10.1145/509907.509965
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.1930