Publication | Open Access
Exquisitor at the Lifelog Search Challenge 2021: Relationships Between Semantic Classifiers
11
Citations
7
References
2021
Year
Unknown Venue
Artificial IntelligenceEngineeringMachine LearningSemantic SearchMultimedia AnalysisTemporal ComponentIntelligent SystemsSemantic WebSemanticsImage SearchVideo RetrievalNatural Language ProcessingImage AnalysisInformation RetrievalData ScienceSemantic ApproachPattern RecognitionComputational LinguisticsMedia ItemsLanguage StudiesLifelog Search ChallengeSemantic LearningKnowledge DiscoveryComputer ScienceMultimedia SearchSemantic ComputingComputer VisionLinguisticsContent-based Image RetrievalSemantic Representation
Exquisitor is a scalable media exploration system based on interactive learning. To satisfy a user's information need, the system asks the user for feedback on media items and uses that feedback to interactively construct a classifier, that is in turn used to identify the next potentially relevant set of media items. To facilitate effective exploration of a collection, the system offers filters to narrow the scope of exploration, search functionality for finding good examples for the classifier, and support for timeline browsing of videos or image sequences. For this year's Lifelog Search Challenge, we have enhanced Exquisitor to better support tasks with a temporal component, by adding features that allow the user to build multiple classifiers and merge the classifier results, using both traditional set operators and advanced temporal operators.
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