Analysis of multilevel graph partitioning
Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semantic Annotation of Sports Videos
IEEE MultiMedia
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Learning from User Behavior in Image Retrieval: Application of Market Basket Analysis
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Infotopia: How Many Minds Produce Knowledge
Infotopia: How Many Minds Produce Knowledge
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classifying Images from Athletics Based on Spatial Relations
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Games with a Purpose for the Semantic Web
IEEE Intelligent Systems
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
Get another label? improving data quality and data mining using multiple, noisy labelers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Some Objects Are More Equal Than Others: Measuring and Predicting Importance
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business
Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business
Usefulness of quality click-through data for training
Proceedings of the 2009 workshop on Web Search Click Data
Supervised learning from multiple experts: whom to trust when everyone lies a bit
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Data quality from crowdsourcing: a study of annotation selection criteria
HLT '09 Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Incremental spectral clustering by efficiently updating the eigen-system
Pattern Recognition
The role of game theory in human computation systems
Proceedings of the ACM SIGKDD Workshop on Human Computation
An evaluation study of clustering algorithms in the scope of user communities assessment
Computers & Mathematics with Applications
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A Survey of Human Computation Systems
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
The singularity is not near: slowing growth of Wikipedia
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Image annotation using clickthrough data
Proceedings of the ACM International Conference on Image and Video Retrieval
Human action annotation, modeling and analysis based on implicit user interaction
Multimedia Tools and Applications
Multiple Bernoulli relevance models for image and video annotation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Optimizing Resource Conflicts in Workflow Management Systems
IEEE Transactions on Knowledge and Data Engineering
Using probabilistic latent semantic analysis for personalized web search
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
IEEE Transactions on Multimedia
Non-sequential video content representation using temporal variation of feature vectors
IEEE Transactions on Consumer Electronics
Learning a semantic space from user's relevance feedback for image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Image Retagging Using Collaborative Tag Propagation
IEEE Transactions on Multimedia
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In this paper a novel approach for automatically annotating image databases is proposed. Despite most current schemes that are just based on spatial content analysis, the proposed method properly combines several innovative modules for semantically annotating images. In particular it includes: (a) a GWAP-oriented interface for optimized collection of implicit crowdsourcing data, (b) a new unsupervised visual concept modeling algorithm for content description and (c) a hierarchical visual content display method for easy data navigation, based on graph partitioning. The proposed scheme can be easily adopted by any multimedia search engine, providing an intelligent way to even annotate completely non-annotated content or correct wrongly annotated images. The proposed approach currently provides very interesting results in limited-size both standard and generic datasets and it is expected to add significant value especially to billions of non-annotated images existing in the Web. Furthermore expert annotators can gain important knowledge relevant to user new trends, language idioms and styles of searching.