Automatic tag generation and ranking for sensor-rich outdoor videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia
Automatic music soundtrack generation for outdoor videos from contextual sensor information
Proceedings of the 20th ACM international conference on Multimedia
Location-based and preference-aware recommendation using sparse geo-social networking data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
HUGVid: handling, indexing and querying of uncertain geo-tagged videos
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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User-centric Internet multimedia scenes challenge us to discover more interesting events and topics based on matching users' needs associated with personal preferences, geographic interests and social norms. Geotagged multimedia contents from online social sites, e.g., Flickr and Twitter, provide large volumes of data about many given locations. Hence, location is one of the most important user-generated contexts and contains rich information about an individual's interests and behavior. Location-based social multimedia streams (e.g., tweets, videos, images) can provide us with socially complementary information to predict users' needs. By making use of geo-tagging, a cohesive set of social multimedia streams can be published to facilitate a more accurate analysis of user-centric big data information and further assess user tastes based on location activities. This tutorial delivers not only a better understanding of the basics of location-aware contextual descriptions and its relations to social multimedia scenes, but may also serve to highlight relationships that can be collaboratively applied to multimodal retrieval and recommendation technology.