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.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dhanaraj KirubaiDr. Kirubai Dhanaraj works as an Assistant Professor in Department of Computer Science, Bishop Heber College, Tiruchirappalli, India. Dr. Rajkumar Kannan is Dean-International Relations of the same institute. Previous. N° de réf. du vendeur 1699907469
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9786207640034
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Taschenbuch. Etat : Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. N° de réf. du vendeur 9786207640034
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Paperback. Etat : new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786207640034
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