FotoFile: a consumer multimedia organization and retrieval system
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Extreme Temporal Photo Browsing
Visual Interfaces to Digital Libraries [JCDL 2002 Workshop]
AutoAlbum: Clustering Digital Photographs using Probabilistic Model Merging
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Automated annotation of human faces in family albums
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
MediaBrowser: reclaiming the shoebox
Proceedings of the working conference on Advanced visual interfaces
AAM Derived Face Representations for Robust Facial Action Recognition
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Learning AAM fitting through simulation
Pattern Recognition
Face based image navigation and search
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Visual language model for face clustering in consumer photos
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Expression analysis in the wild: from individual to groups
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
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With simple cost effective imaging solutions being widely available these days, there has been an enormous rise in the number of images consumers have been taking. Due to this increase, searching, browsing and managing images in multi-media systems has become more complex. One solution to this problem is to divide images into albums for meaningful and effective browsing. We propose a novel automated, expression driven image album creation for consumer image management systems. The system groups images with faces having similar expressions into albums. Facial expressions of the subjects are grouped into albums by the Structural Similarity Index measure, which is based on the theory on how easily the human visual system can extract the shape information of a scene. We also propose a search by similar expression, in which the user can create albums by providing example facial expression images. A qualitative analysis of the performance of the system is presented on the basis of a user study.