Usage patterns of collaborative tagging systems
Journal of Information Science
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
Cross-domain video concept detection using adaptive svms
Proceedings of the 15th international conference on Multimedia
Identifying relevant frames in weakly labeled videos for training concept detectors
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Learning tag relevance by neighbor voting for social image retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Knowledge discovery over community-sharing media: from signal to intelligence
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Relevance filtering meets active learning: improving web-based concept detectors
Proceedings of the international conference on Multimedia information retrieval
On the sampling of web images for learning visual concept classifiers
Proceedings of the ACM International Conference on Image and Video Retrieval
Can an intermediary collection help users search image databases without annotations?
Proceedings of the 10th annual joint conference on Digital libraries
Interactive event search through transfer learning
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Multimedia Tools and Applications
Reliability and effectiveness of clickthrough data for automatic image annotation
Multimedia Tools and Applications
Automatic concept-to-query mapping for web-based concept detector training
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Multimedia Tools and Applications
In-video product annotation with web information mining
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Improving image tags by exploiting web search results
Multimedia Tools and Applications
"Tell me more": how semantic technologies can help refining internet image search
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications
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This paper seeks to unravel whether commonly available social tagged images can be exploited as a training resource for concept-based video search. Since social tags are known to be ambiguous, overly personalized, and often error prone, we place special emphasis on the role of disambiguation. We present a systematic experimental study that evaluates concept detectors based on social tagged images, and their disambiguated versions, in three application scenarios: within-domain, cross-domain, and together with an interacting user. The results indicate that social tagged images can aid concept-based video search indeed, especially after disambiguation and when used in an interactive video retrieval setting. These results open-up interesting avenues for future research.