Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
StartleCam: A Cybernetic Wearable Camera
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Automated location matching in movies
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Passive capture and ensuing issues for a personal lifetime store
Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
Context data in geo-referenced digital photo collections
Proceedings of the 12th annual ACM international conference on Multimedia
Efficient Image Matching with Distributions of Local Invariant Features
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
Identifying Different Settings in a Visual Diary
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Object re-detection using SIFT and MPEG-7 color descriptors
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Bayesian fusion of camera metadata cues in semantic scene classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Keyframe retrieval by keypoints: can point-to-point matching help?
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Image classification for content-based indexing
IEEE Transactions on Image Processing
Minimum explanation complexity for MOD based visual concept detection
Proceedings of the international conference on Multimedia information retrieval
Place recognition via 3d modeling for personal activity lifelog using wearable camera
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Footprint tracker: supporting diary studies with lifelogging
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.00 |
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting detection should be capable of detecting images captured at the same real world locations (e.g. in the dining room at home, in front of the computer in the office, in the park, etc.). This requires the selection and implementation of suitable methods to identify visually similar backgrounds in images using their visual features. We use a Bag of Keypoints approach. This method is based on the sampling and subsequent vector quantization of multiple image patches. The image patches are sampled and described using Scale Invariant Feature Transform (SIFT) features. We compare three different classifiers, K Nearest Neighbour (KNN), Multiclass Linear Perceptron (MLP), and Support Vector Machine (SVM), and present results for classifying ten different settings across one week's worth of images. Our results demonstrate that the method produces good classification accuracy even without exploiting geometric or context based information. We also describe an early prototype of a visual diary browser that integrates the classification results.