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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: withindomain, cross-domain, anddoi:10.1109/icme.2009.5202778 dblp:conf/icmcs/SetzS09 fatcat:ncp2tbd4j5hmnozo2ap46kfjkq