The vocabulary problem in human-system communication
Communications of the ACM
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Photo annotation on a camera phone
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 13th annual ACM international conference on Multimedia
AnnoSearch: Image Auto-Annotation by Search
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
To search or to label?: predicting the performance of search-based automatic image classifiers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Extreme video retrieval: joint maximization of human and computer performance
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Real-time computerized annotation of pictures
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
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
Quest for relevant tags using local interaction networks and visual content
Proceedings of the international conference on Multimedia information retrieval
Methods for automatic and assisted image annotation
Multimedia Tools and Applications
A classification approach with a reject option for multi-label problems
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Efficient targeted search using a focus and context video browser
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multi-label classification with a reject option
Pattern Recognition
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This paper investigates new approaches to improve the efficiency of manual image annotation and help users to produce better annotation results in a given amount of time. Although important in practice, this issue has rarely been studied in a quantitative way before. To achieve this, we first propose two time models to analyze the annotation process for two popular manual annotation approaches, i.e., tagging and browsing. The complementary properties of these approaches have inspired us to merge them to develop a hybrid annotation algorithms called frequency-based annotation. Our experiments on large-scale multimedia collections have shown that the proposed algorithm can achieve an up to 40% annotation time reduction compared with the baseline methods. In other words, it can produce considerably better results using the same annotation time.