Tag Refinement using Social Annotations for Cultural Multimedia
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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 local...
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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