LSMBD 2015 - International Workshop on Learning Semantics for Multimedia Big Data (LSMBD)

Recent advance and development of multimedia technologies have enlightened the creation of intuitive and ubiquitous human-computer communication environment to make our life easier. Such progress of emerging multimedia technologies would result in revolutionary changes of our daily practices, such as shopping, traveling, and social networking. Recently the increasingly massive and complex multimedia data bring new challenges for learning semantics: as data volumes grow to the extent, the traditional solution will not be able to handle effectively. The workshop on Learning Semantics for Multimedia Big Data, LSMBD 2015, aims to bring together researchers and professionals from worldwide academia and industry for showcasing, discussing, and reviewing the whole spectrum of technological opportunities, challenges, solutions, and emerging applications in learning semantics for big data.
List of Topics
Topics of interest include, but are not limited to:
Regularization strategies to handle the noise in the big data learning process
Theories and applications for heterogeneous big data analytics
Content analysis and mining for multimedia big data
Semantic retrieval from multimedia big data
Deep learning for multimedia big data
Cloud computing for multimedia big data
Interaction of multimedia big data
Object detection and recognition for multimedia big data
Other topics related to learning semantics for big data