Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FotoFile: a consumer multimedia organization and retrieval system
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Clustering by Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Estimating anthropometry and pose from a single uncalibrated image
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps
Proceedings of the 14th annual ACM symposium on User interface software and technology
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
A Survey on Content-Based Retrieval for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
Personal digital historian: user interface design
CHI '01 Extended Abstracts on Human Factors in Computing Systems
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personal media exploration with semantic regions
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Automatic thumbnail cropping and its effectiveness
Proceedings of the 16th annual ACM symposium on User interface software and technology
Automatic organization for digital photographs with geographic coordinates
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Leveraging face recognition technology to find and organize photos
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Leveraging context to resolve identity in photo albums
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Faster document navigation with space-filling thumbnails
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Peekaboom: a game for locating objects in images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Face annotation for personal photos using context-assisted face recognition
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
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
A comparative evaluation of interactive segmentation algorithms
Pattern Recognition
Context-aware person identification in personal photo collections
IEEE Transactions on Multimedia - Special issue on integration of context and content
Easy on that trigger dad: a study of long term family photo retrieval
Personal and Ubiquitous Computing
Human-computer collaborative object recognition for intelligent support
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
Photo search in a personal photo diary by drawing face position with people tagging
Proceedings of the 16th international conference on Intelligent user interfaces
ACRONYM: Context Metrics for Linking People to User-Generated Media Content
International Journal on Semantic Web & Information Systems
Towards optimizing human labeling for interactive image tagging
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Managing a large number of digital photos is a challenging task for casual users. Personal photos often don't have rich metadata, or additional information associated with them. However, available metadata can play a crucial role in managing photos. Labeling the semantic content of photos (i.e., annotating them), can increase the amount of metadata and facilitate efficient management. However, manual annotation is tedious and labor intensive while automatic metadata extraction techniques often generate inaccurate and irrelevant results. This paper describes a semi-automatic annotation strategy that takes advantage of human and computer strengths. The semi-automatic approach enables users to efficiently update automatically obtained metadata interactively and incrementally. Even though automatically identified metadata are compromised with inaccurate recognition errors, the process of correcting inaccurate information can be faster and easier than manually adding new metadata from scratch. In this paper, we introduce two photo clustering algorithms for generating meaningful photo groups: (1) Hierarchical event clustering; and (2) Clothing based person recognition, which assumes that people who wear similar clothing and appear in photos taken in one day are very likely to be the same person. To explore our semi-automatic strategies, we designed and implemented a prototype called SAPHARI (Semi-Automatic PHoto Annotation and Recognition Interface). The prototype provides an annotation framework which focuses on making bulk annotations on automatically identified photo groups. The prototype automatically creates photo clusters based on events, people, and file metadata so that users can easily bulk annotation photos. We performed a series of user studies to investigate the effectiveness and usability of the semi-automatic annotation techniques when applied to personal photo collections. The results show that users were able to make annotations significantly faster with event clustering using SAPHARI. We also found that users clearly preferred the semi-automatic approaches.