Mori Y, Takahashi H, Oka R. Image-to-word transformation based on dividing and vector quantizing images with words[C]//Proceedings of the 1st International Workshop on Multimedia Intelligent Storage and Retrieval Management. Orlando, Florida: MISRM, 1999: 1-9.
[2]
Duygulu P, Barnard K, de Freitas J F G, et al. Object recognition as machine translation: learning a lexicon for a fixed image vocabulary[C]//Proceedings of 7th European Conference on Computer Vision. Berlin: Springer Verlag, 2002:97-112.
[3]
Jeon J, Lavrenko V, Manmatha R. Automatic image annotation and retrieval using cross-media relevance models[C]//Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. Toronto, Canada: ACM, 2003: 119-126.
[4]
Kang F, Jin R, Sukthankar R. Correlated label propagation with application to multi-label learning[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE Computer Society, 2006,2: 1719-1726.
[5]
Cao L L, Li F F. Spatially coherent latent topic model for concurrent segmentation and classification of objects and scenes [C]//Proceedings of IEEE International Conference on Computer Vision. Rio de Janeiro, Brazil: IEEE Computer Society, 2007: 1-8.
[6]
Chen Y H, Zhu L, Yuille A, et al. Unsupervised learning of probabilistic object models(poms) for object classification, segmentation, and recognition using knowledge propagation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(10): 1747-1761.
[7]
Shotton J, Winn J, Rother C, et al. Textonboost: joint appearance, shape and context modeling for multi-class object recognition and segmentation [C]//Proceedings of Computer Vision-ECCV 2006. Berlin: Springer Berlin Heidelberg, 2006, 3951: 1-15.
[8]
Liu X B, Cheng B, Yan S C, et al. Label to region by bi-layer sparsity priors[C]//Proceedings of the 17th ACM International Conference on Multimedia. Beijing, China: ACM, 2009: 115-124.
[9]
Wang M, Ni B B, Hua X S, et al. Assistive tagging: a survey of multimedia tagging with human-computer joint exploration [J]. ACM Computing Surveys, 2012, 44(4): 25.[ DOI: 10.1145/2333112.2333120]
[10]
Liu D, Yan S C, Rui Y, et al. Unified tag analysis with multi-edge graph[C]//Proceedings of the International Conference on Multimedia. Firenze, Italy: ACM, 2010: 25-34.
[11]
Dietterich T G, Lathrop R H, Lozano-Pérez T. Solving the multiple instance problem with axis-parallel rectangles [J]. Artificial Intelligence, 1997, 89(1): 31-71.
[12]
Maron O, Lozano-Pérez T. A framework for multiple- instance learning [C]//Proceedings of the 1997 Conference on Advances in Neural Information Processing Systems. Cambridge, MA, USA: MIT Press, 1998: 570-576.
[13]
Yang C, Dong M, Fotouhi F. Region based image annotation through multiple-instance learning[C]//Proceedings of the 13th Annual ACM International Conference on Multimedia. Singapore: ACM, 2005: 435-438.
[14]
Yang C, Dong M, Hua J. Region-based image annotation using asymmetrical support vector machine-based multiple-instance learning[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE Press, 2006, 2: 2057-2063.
[15]
Feng S H, Lang C Y, Xu D. Beyond tag relevance: integrating visual attention model and multi-instance learning for tag saliency ranking [C]//Proceedings of the ACM International Conference on Image and Video Retrieval. New York, USA: ACM, 2010: 288-295.
[16]
Yang K Y, Hua X S, Wang M, et al. Tagging tags: towards more descriptive keywords of image content [J]. IEEE Transactions on Multimedia, 2011, 13(4): 662-673.
[17]
Deng Y, Manjunath B S. Unsupervised segmentation of color-texture regions in images and video [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(8): 800-810.
[18]
Chua T S, Tang J H, Hong R C, et al. NUS-WIDE: a real-world web image database from national university of singapore [C]//Proceedings of the 8th ACM International Conference on Image and Video Retrieval. Santorini, Greece: ACM, 2009:#48. [DOI: 10.1145/1646396.1646452]
