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User’s visual Intention driven retrieval model for semantic video search and retrieval

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dc.contributor.author Ranathunga, L
dc.contributor.author Abdullah, NA
dc.contributor.author Zainuddin, R
dc.date.accessioned 2017-11-20T20:13:59Z
dc.date.available 2017-11-20T20:13:59Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12887
dc.description.abstract There are various models of retrieval mechanisms for effective video retrieval, however, ‘semantic gap’ still persists. This study aims to reduce the gap by providing a graphical user interface that allows user to express the visuals in their mind into a query using semantic association of spatial and temporal visual concepts. To accomplish this, we have developed a video content depiction schema that serves as the foundation to our semantic search mechanisms, namely a generic visual concept search, Spatial Concept Association Based Search (SCABS) and Spatial Concept Transition Based Search (SCTBS). In our approach, a clear understanding between the user and the system has been established through the depiction schema and the visual retrieval mechanisms in contrast to common tag based retrieval systems. This retrieval model employs visual experiences and context knowledge of the users to generate search results. Our experiment result shows that our approach produces positive result against other approaches. en_US
dc.language.iso en en_US
dc.subject CDPC en_US
dc.subject Visual concepts depiction
dc.subject Semantic gap
dc.subject Semantic video retrieval
dc.subject Semantic video search
dc.title User’s visual Intention driven retrieval model for semantic video search and retrieval en_US
dc.type Article-Abstract en_US
dc.identifier.year 2012 en_US
dc.identifier.journal Malaysian Journal of Computer Science en_US
dc.identifier.issue 4 en_US
dc.identifier.volume 25 en_US
dc.identifier.pgnos pp. 164 - 176 en_US
dc.identifier.email lochandaka@uom.lk en_US
dc.identifier.email noraniza@um.edu.my en_US
dc.identifier.email roziati@um.edu.my en_US


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