A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
Machine Learning
On the detection of semantic concepts at TRECVID
Proceedings of the 12th annual ACM international conference on Multimedia
A comparison of active classification methods for content-based image retrieval
Proceedings of the 1st international workshop on Computer vision meets databases
Proceedings of the 13th annual ACM international conference on Multimedia
Learning rich semantics from news video archives by style analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Video Annotation by Active Learning and Cluster Tuning
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Evaluation of active learning strategies for video indexing
Image Communication
Foundations and Trends in Information Retrieval
Image annotation using clickthrough data
Proceedings of the ACM International Conference on Image and Video Retrieval
Relevance filtering meets active learning: improving web-based concept detectors
Proceedings of the international conference on Multimedia information retrieval
The lIGVID system for video retrieval and concept annotation
Proceedings of the international conference on Multimedia information retrieval
Reliability and effectiveness of clickthrough data for automatic image annotation
Multimedia Tools and Applications
Dynamic vocabularies for web-based concept detection by trend discovery
Proceedings of the 20th ACM international conference on Multimedia
Annotating images with suggestions: user study of a tagging system
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Searching informative concept banks for video event detection
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
q-Gaussian mixture models for image and video semantic indexing
Journal of Visual Communication and Image Representation
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Concept indexing in multimedia libraries is very useful for users searching and browsing but it is a very challenging research problem as well. Beyond the systems' implementations issues, semantic indexing is strongly dependent upon the size and quality of the training examples. In this paper, we describe the collaborative annotation system used to annotate the High Level Features (HLF) in the development set of TRECVID 2007. This system is web-based and takes advantage of Active Learning approach. We show that Active Learning allows simultaneously getting the most useful information from the partial annotation and significantly reducing the annotation effort per participant relatively to previous collaborative annotations.