Andere Kunden interessierten sich auch für
![PREDICTING AYO GAME STRATEGY USING NEURAL NETWORK-BASED REFINEMENT]( "PREDICTING AYO GAME STRATEGY USING NEURAL NETWORK-BASED REFINEMENT")
PREDICTING AYO GAME STRATEGY USING NEURAL NETWORK-BASED REFINEMENT32,99 €![Information Retrieval Performance Refinement in Deep Web Mining]( "Information Retrieval Performance Refinement in Deep Web Mining")
Information Retrieval Performance Refinement in Deep Web Mining40,99 €![Crowdsourcing cultural heritage metadata through social gaming]( "Crowdsourcing cultural heritage metadata through social gaming")
Crowdsourcing cultural heritage metadata through social gaming26,99 €![Product stocking management using an RFID prototype]( "Product stocking management using an RFID prototype")
Product stocking management using an RFID prototype26,99 €![SEReleC - Search Engines' Result Refinement and Classificaion]( "SEReleC - Search Engines' Result Refinement and Classificaion")
SEReleC - Search Engines' Result Refinement and Classificaion32,99 €![Tag-Verfeinerung mit sozialen Kommentaren für kulturelle Multimedia]( "Tag-Verfeinerung mit sozialen Kommentaren für kulturelle Multimedia")
Tag-Verfeinerung mit sozialen Kommentaren für kulturelle Multimedia60,90 €![Archaeology, GIS and Cultural Resource Management in Trinidad]( "Archaeology, GIS and Cultural Resource Management in Trinidad")
Archaeology, GIS and Cultural Resource Management in Trinidad51,99 €
Social media prevails in every walk of our life. Multimedia shared through social networks allows its user to share, annotate and rate them depending upon user preferences and they are highly personalized. These user generated social annotations are more useful in describing the content of the multimedia and enabling efficient indexing and retrieval. Multimedia retrieval techniques lack in semantic context annotations for videos, because semantically annotating the video using automatic methods is a challenging task. This book discusses novel methods for video tag refinement and temporal localization for cultural multimedia by harnessing the visual similarity, temporal consistency, spatial feature and region-based annotation refinement of the video. So that social user annotations generated by social media users can be incorporated into multimedia to increase the efficiency and accuracy of the retrieval methods.