Color based skin classification R Khan, A Hanbury, J Stöttinger, A Bais Pattern Recognition Letters 33 (2), 157-163, 2012 | 173 | 2012 |
Skin detection: A random forest approach R Khan, A Hanbury, J Stoettinger 2010 IEEE International Conference on Image Processing, 4613-4616, 2010 | 94 | 2010 |
Sparse color interest points for image retrieval and object categorization J Stottinger, A Hanbury, N Sebe, T Gevers IEEE Transactions on Image Processing 21 (5), 2681-2692, 2012 | 52 | 2012 |
Color-based and context-aware skin detection for online video annotation C Liensberger, J Stottinger, M Kampel 2009 IEEE International Workshop on Multimedia Signal Processing, 1-6, 2009 | 31 | 2009 |
Colour interest points for image retrieval J Stöttinger, N Sebe, T Gevers, A Hanbury na, 2007 | 28 | 2007 |
Skin paths for contextual flagging adult videos J Stöttinger, A Hanbury, C Liensberger, R Khan International symposium on visual computing, 303-314, 2009 | 27 | 2009 |
An adaptive multiple model approach for fast content-based skin detection in on-line videos R Khan, J Stöttinger, M Kampel Proceedings of the 1st ACM workshop on Analysis and retrieval of events …, 2008 | 25 | 2008 |
Overview of the ImageCLEF 2007 object retrieval task T Deselaers, A Hanbury, V Viitaniemi, A Benczúr, M Brendel, B Daróczy, ... Workshop of the Cross-Language Evaluation Forum for European Languages, 445-471, 2007 | 20 | 2007 |
Multiple color space channel fusion for skin detection R Khan, A Hanbury, J Stöttinger, FA Khan, AU Khattak, A Ali Multimedia tools and applications 72 (2), 1709-1730, 2014 | 19 | 2014 |
Event detection and scene attraction by very simple contextual cues I Tankoyeu, J Paniagua, J Stöttinger, F Giunchiglia Proceedings of the 2011 joint ACM workshop on Modeling and representing …, 2011 | 19 | 2011 |
Do colour interest points improve image retrieval? J Stöttinger, A Hanbury, N Sebe, T Gevers 2007 IEEE International Conference on Image Processing 1, I-169-I-172, 2007 | 18 | 2007 |
Systematic skin segmentation: merging spatial and non-spatial data R Khan, A Hanbury, R Sablatnig, J Stöttinger, FA Khan, FA Khan Multimedia tools and applications 69 (3), 717-741, 2014 | 16 | 2014 |
Lonely but attractive: Sparse color salient points for object retrieval and categorization J Stottinger, A Hanbury, T Gevers, N Sebe 2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009 | 15 | 2009 |
A hybrid machine-crowd approach to photo retrieval result diversification AL Radu, B Ionescu, M Menéndez, J Stöttinger, F Giunchiglia, ... International Conference on Multimedia Modeling, 25-36, 2014 | 14 | 2014 |
Translating journalists' requirements into features for image search J Stottinger, J Banova, T Ponitz, N Sebe, A Hanbury 2009 15th International Conference on Virtual Systems and Multimedia, 149-153, 2009 | 12 | 2009 |
Systematic evaluation of spatio-temporal features on comparative video challenges J Stöttinger, BT Goras, T Pöntiz, A Hanbury, N Sebe, T Gevers Asian Conference on Computer Vision, 349-358, 2010 | 10 | 2010 |
Skin paths for contextual flagging adult videos J Stottinger, A Hanbury, C Liensberger, R Khan LECTURE NOTES IN COMPUTER SCIENCE 1 (5876), 303-314, 2009 | 10 | 2009 |
Contextual local primitives for binary patent image retrieval N Bhatti, A Hanbury, J Stottinger Multimedia Tools and Applications 77 (7), 9111-9151, 2018 | 9 | 2018 |
Social events and social ties J Paniagua, I Tankoyeu, J Stöttinger, F Giunchiglia Proceedings of the 3rd ACM conference on International conference on …, 2013 | 9 | 2013 |
FeEval A Dataset for Evaluation of Spatio-temporal Local Features J Stöttinger, S Zambanini, R Khan, A Hanbury 2010 20th International Conference on Pattern Recognition, 499-502, 2010 | 9 | 2010 |