6533b7dbfe1ef96bd126f846
RESEARCH PRODUCT
Latent Semantic Description of Iconic Scenes
Salvatore GaglioFilippo VellaGiovanni PilatoGiorgio Vassallosubject
business.industryLatent semantic analysisComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScene statisticsSpace (commercial competition)SemanticsSet (abstract data type)Metric (mathematics)Computer visionArtificial intelligenceRepresentation (mathematics)businessSentenceComputingMethodologies_COMPUTERGRAPHICSdescription
It is proposed an approach for the automatic description of scenes using a LSA–like technique. The described scenes are composed by a set of elements that can be geometric forms or iconic representation of objects. Every icon is characterized by a set of attributes like shape, colour and position. Each scene is related to a set of sentences describing their content. The proposed approach builds a data driven vector semantic space where the scenes and the sentences are mapped. A new scene can be mapped in this created space accordingly to a suitable metric. Preliminary experimental results show the effectiveness of the procedure.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2005-01-01 |