International Workshop on Learning Semantics for Multimedia Big Data
(LSMBD 2015) – Call for Papers
LSMBD 2015 is held in conjunction with the 3rd IAPR Asian Conference on
Pattern Recognition (ACPR 2015).
November 3-6, 2015, Kuala Lumpur, Malaysia.
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.
Topics of interest include, but are not limited to:
-Regularization strategies to handle the noise in the big data learning
-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
Paper Submission Deadline: September 9, 2015
Notification of Acceptance: September 23, 2015
Camera-ready Deadline: September 28, 2015
Conference dates: 3-6th November 2015
High-quality manuscripts reporting original and unpublished research
results pertaining to the above and related topics are solicited.
Manuscripts must be in English with a maximum of 12 pages using the
Springer Lecture Notes in Computer Science (LNCS) format
abstract and paper should be submitted through the LSMBD 2015 submission
site at https://cmt.research.
All manuscripts will be reviewed by the Program Committee on the basis of
technical quality, relevance, significance, and clarity. Each submission
should be regarded as an undertaking that, if the paper is accepted, at
least one of the authors must attend the workshop to present the work.
All accepted (revised) papers will be included in the post-proceedings
published by Springer-Verlag Lecture Notes in Computer Science (LNCS) and
Indexed by EI.
National Taiwan University of Science and Technology, Taiwan
Academia Sinica, Taiwan
Multimedia University, Malaysia