Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Automated annotation of human faces in family albums
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Efficient propagation for face annotation in family albums
Proceedings of the 12th annual ACM international conference on Multimedia
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Fast Haar transform based feature extraction for face representation and recognition
IEEE Transactions on Information Forensics and Security
Correlative linear neighborhood propagation for video annotation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Active learning in multimedia annotation and retrieval: A survey
ACM Transactions on Intelligent Systems and Technology (TIST)
Signal Processing
Summarizing tourist destinations by mining user-generated travelogues and photos
Computer Vision and Image Understanding
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Automatic image annotation with cooperation of concept-specific and universal visual vocabularies
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Image Annotation by Graph-Based Inference With Integrated Multiple/Single Instance Representations
IEEE Transactions on Multimedia
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory
Robust Tensor Analysis With L1-Norm
IEEE Transactions on Circuits and Systems for Video Technology
High-speed face recognition based on discrete cosine transform and RBF neural networks
IEEE Transactions on Neural Networks
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As smart phone features dramatical performance, including faster processor, GPS chip, and more advanced camera, etc., more and more people use it for photography. With more photos stored on personal devices, there is a growing need of photo tools that can empower users to organize and manage personal photographs. To target this goal, we devote our efforts to develop a photos management system used for cellphone, namely Photo 4W, offering the index of mobile photography related to what, where, who and when. The key technologies in this system mainly include face annotation and scene classification. Face annotation is implemented by using interactive method after face detection. To help user annotate faces, we provided a batch solution in which users are allowed to multi-select a group of faces and then assign one name from a predicted candidate list. Scene classification utilizes semi-automated method to classify photos based on their semantic content. Experiments conducted on a real family album demonstrate that the proposed approach is effective and efficient for mobile photo management.