Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
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Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
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Indoor-Outdoor Image Classification
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Histograms of Oriented Gradients for Human Detection
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A Bayesian Hierarchical Model for Learning Natural Scene Categories
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Discovering Objects and their Localization in Images
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Modeling Scenes with Local Descriptors and Latent Aspects
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Hidden semantic concept discovery in region based image retrieval
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Review: Which is the best way to organize/classify images by content?
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Categorization of natural scenes: Local versus global information and the role of color
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TV ad video categorization with probabilistic latent concept learning
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Foundations and Trends® in Computer Graphics and Vision
Describing Visual Scenes Using Transformed Objects and Parts
International Journal of Computer Vision
Content visualization and management of geo-located image databases
CHI '08 Extended Abstracts on Human Factors in Computing Systems
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Scene modeling in global-local view for scene classification
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Language modeling for bag-of-visual words image categorization
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Continuous visual vocabulary modelsfor pLSA-based scene recognition
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Comparing Local Feature Descriptors in pLSA-Based Image Models
Proceedings of the 30th DAGM symposium on Pattern Recognition
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Performance evaluation of local colour invariants
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Natural Versus Artificial Scene Classification by Ordering Discrete Fourier Power Spectra
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
A Multimodal Constellation Model for Object Category Recognition
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Spatial Hierarchy of Textons Distributions for Scene Classification
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
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Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008
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Image and Vision Computing
Contextual classification of image patches with latent aspect models
Journal on Image and Video Processing - Special issue on patches in vision
PLSI: The True Fisher Kernel and beyond
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Reducing Keypoint Database Size
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
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IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Semantic concept annotation based on audio PLSA model
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Places clustering of full-length film key-framesusing latent aspect modeling over SIFT matches
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ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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Pattern Recognition
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Distances and weighting schemes for bag of visual words image retrieval
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OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning
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Expression microarray classification using topic models
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Semi-latent Dirichlet allocation: a hierarchical model for human action recognition
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Semantic modeling of natural scenes based on contextual Bayesian networks
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IPSILON: incremental parsing for semantic indexing of latent concepts
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The third eye: mining the visual cognition across multi-language communities
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An efficient face recognition through combining local features and statistical feature extraction
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Towards optimal naive bayes nearest neighbor
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Constrained spectral clustering via exhaustive and efficient constraint propagation
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Characteristic pattern discovery in videos
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Regularized semi-supervised latent dirichlet allocation for visual concept learning
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A multimodal constellation model for object image classification
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Expert Systems with Applications: An International Journal
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A variational statistical framework for object detection
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Modulating Shape Features by Color Attention for Object Recognition
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Novelty detection in wildlife scenes through semantic context modelling
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Sports video classification using bag of words model
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Halfway through the semantic gap: Prosemantic features for image retrieval
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Improving Image Classification Using Semantic Attributes
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Use of color information for keypoints detection and descriptors construction
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Compact and adaptive spatial pyramids for scene recognition
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Cross community news event summary generation based on collaborative ranking
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Spatial pooling of heterogeneous features for image applications
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Recognition of occluded objects by reducing feature interactions
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Biologically inspired task oriented gist model for scene classification
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Local log-euclidean covariance matrix (L2ECM) for image representation and its applications
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Simultaneous image classification and annotation via biased random walk on tri-relational graph
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Spring lattice counting grids: scene recognition using deformable positional constraints
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Visual categorization based on learning contextual probabilistic latent component tree
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Investigating Topic Models' Capabilities in Expression Microarray Data Classification
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Enhanced local binary covariance matrices (ELBCM) for texture analysis and object tracking
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Robotics and Autonomous Systems
Human-inspired features for natural scene classification
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Infinite Dirichlet mixture models learning via expectation propagation
Advances in Data Analysis and Classification
A bag-of-semantics model for image clustering
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New color GPHOG descriptors for object and scene image classification
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Continuous human action recognition in real time
Multimedia Tools and Applications
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition
International Journal of Computer Vision
3D object retrieval via range image queries in a bag-of-visual-words context
The Visual Computer: International Journal of Computer Graphics
Coloring Action Recognition in Still Images
International Journal of Computer Vision
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Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised manner, and to use this object distribution to perform scene classification. We achieve this discovery using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature, here applied to a bag of visual words representation for each image. The scene classification on the object distribution is carried out by a k-nearest neighbour classifier. We investigate the classification performance under changes in the visual vocabulary and number of latent topics learnt, and develop a novel vocabulary using colour SIFT descriptors. Classification performance is compared to the supervised approaches of Vogel & Schiele [19] and Oliva & Torralba [11], and the semi-supervised approach of Fei Fei & Perona [3] using their own datasets and testing protocols. In all cases the combination of (unsupervised) pLSA followed by (supervised) nearest neighbour classification achieves superior results. We show applications of this method to image retrieval with relevance feedback and to scene classification in videos.