A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
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)
Duplicate detection in consumer photography and news video
Proceedings of the tenth ACM international conference on Multimedia
Mobile access to personal digital photograph archives
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Discovering recurrent image semantics from class discrimination
EURASIP Journal on Applied Signal Processing
Tag Suggestr: Automatic Photo Tag Expansion Using Visual Information for Photo Sharing Websites
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
On the Coöperative Creation of Multimedia Meaning
SAMT '09 Proceedings of the 4th International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Combining intra-image and inter-class semantics for consumer image retrieval
Pattern Recognition
Automatic tag expansion using visual similarity for photo sharing websites
Multimedia Tools and Applications
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
MetaXa—Context- and content-driven metadata enhancement for personal photo books
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Photo retrieval from personal memories using generic concepts
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Towards optimizing human labeling for interactive image tagging
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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MiAlbum© (v1.0) is a system developed at Microsoft Research China for managing family photos with the help of a semi-automatic image annotation approach. It provides functionalities to import (from scanner, digital camera, disks, PC, CD, web, etc), label (keyword, name, place, etc.), categorize (by automatic classification into some predefined classes), manipulate (in some ways), and export (send or print) family photo images. In this demo, we show the efficiency of the semi-automatic image annotation method and its help in improving the image retrieval accuracy.