Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Test Data Likelihood for PLSA Models
Information Retrieval
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
International Journal of Computer Vision
Review: Which is the best way to organize/classify images by content?
Image and Vision Computing
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image classification for content-based indexing
IEEE Transactions on Image Processing
CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines
IEEE Transactions on Circuits and Systems for Video Technology
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Scene classification aims to automatically label an image among a set of semantic categories. The issue of scene modeling is critical to its classification performance. Inspired by recent psychology progresses on visual perception, we unify the current popular strategies into a 'gist' framework, and suggest a global-local view to model scenes. We evaluate our strategy on the 13 class scenes dataset mostly cited. The experiment results show that our method significantly outperforms the state-of-art methods. We believe it will give a fresh look at how to effectively model scene to benefit for scene analysis.