Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Automated annotation of human faces in family albums
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Content-based Comparison of Image Collections via Distance Measuring of Self-organised Maps
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Leveraging face recognition technology to find and organize photos
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Efficient propagation for face annotation in family albums
Proceedings of the 12th annual ACM international conference on Multimedia
Leveraging context to resolve identity in photo albums
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
A cluster validity index for fuzzy clustering
Pattern Recognition Letters
A scalable service for photo annotation, sharing, and search
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Journal of Cognitive Neuroscience
Energy conservation by adaptive feature loading for mobile content-based image retrieval
Proceedings of the 13th international symposium on Low power electronics and design
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Automatic generation of the initial query set for CBIR on the mobile web
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Unsupervised image-set clustering using an information theoretic framework
IEEE Transactions on Image Processing
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In this paper a novel approach for the automatic representation of pictures on mobile devices is proposed. With the wide diffusion of mobile digital image acquisition devices, the need for managing a large number of digital images is quickly increasing. In fact, the storage capacity of such devices allow users to store hundreds or even thousands, of pictures that, without a proper organization, become useless. Users may be interested in using (i.e., browsing, saving, printing and so on) a subset of stored data according to some particular picture properties. A content-based description of each picture is needed to perform on-board image indexing. In our work, the images are analyzed and described in three representation spaces, namely, faces, background and time of capture. Faces are automatically detected, and a face representation is produced by projecting the face itself in a common low dimensional eigenspace. Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter bank. Temporal data is obtained through the extraction of EXIF (Exchangeable Image File Format) data. Faces, background and time information of each image in the collection is automatically organized using a mean-shift clustering technique. Significance of clustering has been evaluated on a realistic set of about 1000 images and results are promising.