MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
International Journal of Computer Vision
Segmentation and description of natural outdoor scenes
Image and Vision Computing
Review: Which is the best way to organize/classify images by content?
Image and Vision Computing
Image retrieval on large-scale image databases
Proceedings of the 6th ACM international conference on Image and video retrieval
Multi-level local descriptor quantization for bag-of-visterms image representation
Proceedings of the 6th ACM international conference on Image and video retrieval
Matching ottoman words: an image retrieval approach to historical document indexing
Proceedings of the 6th ACM international conference on Image and video retrieval
Visual language modeling for image classification
Proceedings of the international workshop on Workshop on multimedia information retrieval
TV ad video categorization with probabilistic latent concept learning
Proceedings of the international workshop on Workshop on multimedia information retrieval
Modeling Semantic Aspects for Cross-Media Image Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Latent semantic fusion model for image retrieval and annotation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Relevance feedback for image retrieval in structured multi-feature spaces
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
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
Annotating photo collections by label propagation according to multiple similarity cues
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Video retrieval based on object discovery
Computer Vision and Image Understanding
Latent mixture vocabularies for object categorization and segmentation
Image and Vision Computing
Unsupervised modeling of objects and their hierarchical contextual interactions
Journal on Image and Video Processing - Special issue on patches in vision
Contextual classification of image patches with latent aspect models
Journal on Image and Video Processing - Special issue on patches in vision
Foreground Focus: Unsupervised Learning from Partially Matching Images
International Journal of Computer 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
AMC '09 Proceedings of the 2009 workshop on Ambient media computing
Feature classification for representative photo selection
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
IEEE Transactions on Circuits and Systems for Video Technology
Intention-focused active reranking for image object retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Image categorization via robust pLSA
Pattern Recognition Letters
IEEE Transactions on Multimedia - Special issue on integration of context and content
Scale-invariant visual language modeling for object categorization
IEEE Transactions on Multimedia - Special issue on integration of context and content
Learning color names for real-world applications
IEEE Transactions on Image Processing
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Scene Categorization by Introducing Contextual Information to the Visual Words
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Filtering adult image content with topic models
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Unsupervised object of interest discovery in multi-view video sequence
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Applying pLSA to region-based image categorization with soft vector quantization
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Scene categorization via contextual visual words
Pattern Recognition
Learning natural scene categories by selective multi-scale feature extraction
Image and Vision Computing
Journal of Visual Communication and Image Representation
Large Scale Online Learning of Image Similarity Through Ranking
The Journal of Machine Learning Research
Unsupervised identification of multiple objects of interest from multiple images: dISCOVER
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Scene context modeling for foreground detection from a scene in remote monitoring
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Multi modal semantic indexing for image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
IPSILON: incremental parsing for semantic indexing of latent concepts
IEEE Transactions on Image Processing
Fusing semantic aspects for image annotation and retrieval
Journal of Visual Communication and Image Representation
Cost-Sensitive Active Visual Category Learning
International Journal of Computer Vision
Integrated image representation based natural scene classification
Expert Systems with Applications: An International Journal
Analyzing Ancient Maya Glyph Collections with Contextual Shape Descriptors
International Journal of Computer Vision
Semantics extraction from images
Knowledge-driven multimedia information extraction and ontology evolution
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets
International Journal of Computer Vision
A hierarchical latent topic model based on sparse coding
Neurocomputing
Searching the past: an improved shape descriptor to retrieve maya hieroglyphs
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A neural network to retrieve images from text queries
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Discriminative compact pyramids for object and scene recognition
Pattern Recognition
Learning semantic features for action recognition via diffusion maps
Computer Vision and Image Understanding
A non-parametric visual-sense model of images--extending the cluster hypothesis beyond text
Multimedia Tools and Applications
Keyframe retrieval by keypoints: can point-to-point matching help?
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Objectionable image detection by ASSOM competition
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Recognizing objects and scenes in news videos
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Natural scene image modeling using color and texture visterms
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Recognizing multiple billboard advertisements in videos
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Single-Histogram class models for image segmentation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Constructing visual models with a latent space approach
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Fast multi-view graph kernels for object classification
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Modulating Shape Features by Color Attention for Object Recognition
International Journal of Computer Vision
Toward a higher-level visual representation for content-based image retrieval
Multimedia Tools and Applications
A hybrid local feature for face recognition
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Aerial scene recognition using efficient sparse representation
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Latent Dirichlet allocation for image segmentation and source finding in radio astronomy images
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Fast multi-view segment graph kernel for object classification
Signal Processing
Hi-index | 0.00 |
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to three open questions:(1) whether the invariant local features are suitable for scene (rather than object) classification; (2) whether unsupervised latent space models can be used for feature extraction in the classification task; and (3) whether the latent space formulation can discover visual co-occurrence patterns, motivating novel approaches for image organization and segmentation. Using a 9500-image dataset, our approach is validated on each of these issues. First, we show with extensive experiments on binary and multi-class scene classification tasks, that a bag-of-visterm representation, derived from local invariant descriptors, consistently outperforms state-of-the-art approaches. Second, we show that Probabilistic Latent Semantic Analysis (PLSA) generates a compact scene representation, discriminative for accurate classification, and significantly more robust when less training data are available. Third, we have exploited the ability of PLSA to automatically extract visually meaningful aspects, to propose new algorithms for aspect-based image ranking and context-sensitive image segmentation.