IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
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
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Demonstrating the use of a SenseCam in two domains
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Robotics and Autonomous Systems
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
The Journal of Machine Learning Research
Behavior recognition via sparse spatio-temporal features
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
A tutorial on spectral clustering
Statistics and Computing
Large-scale multimodal semantic concept detection for consumer video
Proceedings of the international workshop on Workshop on multimedia information retrieval
Analyzing Co-training Style Algorithms
ECML '07 Proceedings of the 18th European conference on Machine Learning
LIBLINEAR: A Library for Large Linear Classification
The Journal of Machine Learning Research
Automatically Segmenting LifeLog Data into Events
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
On Co-Training Style Algorithms
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 07
SenseCam Image Localisation Using Hierarchical SURF Trees
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Semisupervised Learning for Computational Linguistics
Semisupervised Learning for Computational Linguistics
Parallel versus Serial Classifier Combination for Multibiometric Hand-Based Identification
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Video Event Classification Using Bag of Words and String Kernels
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Encountering SenseCam: personal recording technologies in everyday life
Proceedings of the 11th international conference on Ubiquitous computing
Multiple kernel active learning for image classification
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Introduction to Semi-Supervised Learning
Introduction to Semi-Supervised Learning
Multi-modal Semantic Place Classification
International Journal of Robotics Research
The state of the art in image and video retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
An SVM confidence-based approach to medical image annotation
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Semi-Supervised Learning
The IMMED project: wearable video monitoring of people with age dementia
Proceedings of the international conference on Multimedia
Cue integration through discriminative accumulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
CENTRIST: A Visual Descriptor for Scene Categorization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Laplacian Support Vector Machines Trained in the Primal
The Journal of Machine Learning Research
Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Bayesian filter based behavior recognition in workflows allowing for user feedback
Computer Vision and Image Understanding
SenseCam: a retrospective memory aid
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
Hi-index | 0.00 |
The analysis of video acquired with a wearable camera is a challenge that multimedia community is facing with the proliferation of such sensors in various applications. In this paper, we focus on the problem of automatic visual place recognition in a weakly constrained environment, targeting the indexing of video streams by topological place recognition. We propose to combine several machine learning approaches in a time regularized framework for image-based place recognition indoors. The framework combines the power of multiple visual cues and integrates the temporal continuity information of video. We extend it with computationally efficient semisupervised method leveraging unlabeled video sequences for an improved indexing performance. The proposed approach was applied on challenging video corpora. Experiments on a public and a real-world video sequence databases show the gain brought by the different stages of the method.