Scene categorization via contextual visual words

[1]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[2]  Daniel B. Wright,et al.  Understanding Statistics: An Introduction for the Social Sciences , 1997 .

[3]  Anil K. Jain,et al.  Content-based hierarchical classification of vacation images , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[4]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[5]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[6]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Jiebo Luo,et al.  Indoor vs outdoor classification of consumer photographs using low-level and semantic features , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[8]  Edward Y. Chang,et al.  CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines , 2003, IEEE Trans. Circuits Syst. Video Technol..

[9]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[10]  Martial Hebert,et al.  Discriminative random fields: a discriminative framework for contextual interaction in classification , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[11]  R. Zemel,et al.  Multiscale conditional random fields for image labeling , 2004, CVPR 2004.

[12]  Bernt Schiele,et al.  A Semantic Typicality Measure for Natural Scene Categorization , 2004, DAGM-Symposium.

[13]  Michael Brady,et al.  Saliency, Scale and Image Description , 2001, International Journal of Computer Vision.

[14]  Antonio Torralba,et al.  Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.

[15]  Antonio Torralba,et al.  Contextual Models for Object Detection Using Boosted Random Fields , 2004, NIPS.

[16]  Dan Roth,et al.  Learning to detect objects in images via a sparse, part-based representation , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Antonio Torralba,et al.  Contextual Priming for Object Detection , 2003, International Journal of Computer Vision.

[18]  Trevor Darrell,et al.  The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[19]  Pietro Perona,et al.  A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[20]  Pietro Perona,et al.  Learning object categories from Google's image search , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[21]  Martial Hebert,et al.  A hierarchical field framework for unified context-based classification , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[22]  Luc Van Gool,et al.  Modeling scenes with local descriptors and latent aspects , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[23]  Roberto Manduchi,et al.  Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation , 2005, Auton. Robots.

[24]  Laurent Itti,et al.  Gist: A Mobile Robotics Application of Context-Based Vision in Outdoor Environment , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[25]  Andrew Zisserman,et al.  Scene Classification Via pLSA , 2006, ECCV.

[26]  Alexei A. Efros,et al.  Putting Objects in Perspective , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[27]  Cordelia Schmid,et al.  Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[28]  G. Griffin,et al.  Caltech-256 Object Category Dataset , 2007 .

[29]  Robert Marti,et al.  Which is the best way to organize/classify images by content? , 2007, Image Vis. Comput..

[30]  Laurent Itti,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Rapid Biologically-inspired Scene Classification Using Features Shared with Visual Attention , 2022 .

[31]  Daphne Koller,et al.  Learning Spatial Context: Using Stuff to Find Things , 2008, ECCV.

[32]  Jiebo Luo,et al.  Leveraging probabilistic season and location context models for scene understanding , 2008, CIVR '08.

[33]  John J. Lee,et al.  LIBPMK: A Pyramid Match Toolkit , 2008 .

[34]  Andrew Zisserman,et al.  Scene Classification Using a Hybrid Generative/Discriminative Approach , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[35]  Zhuowen Tu,et al.  Auto-context and its application to high-level vision tasks , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[36]  Nelson H. C. Yung,et al.  Scene categorization with multiscale category- specific visual words , 2009 .

[37]  Fei-Fei Li,et al.  Towards total scene understanding: Classification, annotation and segmentation in an automatic framework , 2009, CVPR.

[38]  Jiayan Jiang,et al.  Efficient scale space auto-context for image segmentation and labeling , 2009, CVPR.