posted by user: lengoanhcat || 5504 views || tracked by 15 users: [display]

LSMSI 2013 : Computer Vision and Image Understanding: Special Issue on “Large Scale Multimedia Semantic Indexing”


When Aug 15, 2013 - Mar 15, 2014
Where N.A
Submission Deadline Aug 15, 2013
Notification Due Nov 15, 2013
Final Version Due Mar 15, 2014
Categories    computer vision   computer science

Call For Papers

Computer Vision and Image Understanding Call for Papers

Special Issue on “Large Scale Multimedia Semantic Indexing”


The ever-increasing huge volume of multimedia data in Web-sharing
sites and personal archives has provided us both challenges and unique
opportunities on massive multimedia management. Due to the well-known
semantic gap between human-understandable high-level semantics and
machine-generated low-level features, recent years have witnessed
plenty of research effort on large-scale multimedia content
understanding and indexing. This special issue aims to collect recent
state-of-the-art achievement on multimedia semantic indexing,
especially the work devoted to several new challenges in this
field. For example, it is recently discovered that facilitated with
the contextual information in social multimedia, concept detection in
videos can be better accomplished. Other problems such as cross-domain
concept detection and multi-modality semantic learning are also in the
interest of this special issue. Moreover, due to the explosive
increase of both the size of the multimedia database and feature
dimension, it is highly desired that an algorithm for semantic
indexing or multimedia retrieval can be applied in a large-scale
setting. An ideal algorithm should be a good balance between
effectiveness and computation efficiency. Another focus of this
special issue will be on recent advances on scalable
algorithms. Particularly, locality-sensitive hashing (LSH) method
which originates from theoretic computer science has attracted
extensive research interest in the past years. Its success has been
demonstrated in various applications, such as near-duplicate image
detection. However, it is still an open problem how the hashing
algorithm can be most effective, given the various complications in
multimedia data, including diverse multimedia semantics, specific
intrinsic data structure (e.g. graph or low-dimensional manifold) and
multi-modality features. The special issue target at collecting latest
research breakthroughs from both theoretic study and the related
applications. Novel semantic indexing algorithms that are capable of
handling large-scale data are highly appreciated. Inspiring work that
discusses promising future directions is also welcome. This special
issue targets the researchers and practitioners from both the industry
and academia. Topics of interest include but not limited to:

• Ontology design and semantic concept detection

o Lexicon of semantic concepts

o Concept detection and semantic attribute extraction

o Novel feature representation and semantic indexing for image, audio
and video data

o Cross-domain concept learning

o Semantics-oriented image and video annotation

o Fusion methods for multi-modality features

o Novel machine learning techniques for semantic features

o Concept detection in social multimedia

• Large scale semantic indexing algorithm

o Locality-sensitive hashing for multimedia semantic representation

o Hashing for complicated data structures (e.g., graphs, manifolds,
multiple-instance data)

o Hashing in kernel space

o Hashing for multi-modality representation

o Benchmarks and evaluations for multimedia hashing

• Related applications

o Large-scale image or video retrieval

o Multimedia event detection

o Image annotation / tagging / recognition

o Query-adaptive methods for multimedia retrieval and event detection

o Large scale cross-media retrieval

Important Dates:

• Paper submission due: Aug. 15, 2013

• First notification: Nov. 15, 2013

• Revision: Dec. 30, 2013

• Final decision: March. 15, 2014

• Publication date: Autumn 2014 (Tentative)

Guest Editors:

• Dr. Yadong Mu, Columbia University, USA (

• Dr. Yi Yang, Carnegie Mellon University, USA (

• Dr. Liangliang Cao, IBM T.J. Watson Research Lab, USA

• Prof. Shuicheng Yan, National University of Singapore

• Prof. Qi Tian, University of Texas at San Antonio, USA

Related Resources

VISAPP 2020   15th International Conference on Computer Vision Theory and Applications
WSCG 2020   28. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2020
ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
VISIGRAPP 2020   15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
ICMV--SPIE, Scopus, Ei Compendex 2019   SPIE--2019 The 12th International Conference on Machine Vision (ICMV 2019)--EI, Scopus and ISI
EI- ICVISP 2020   2020 4th International Conference on Vision, Image and Signal Processing (ICVISP 2020)
ICAIML 2019   【EI SCOPUS CPCI】2019 1st International Conference on Artificial Intelligence and Machine Learning
ISAIR 2020   The 5th International Symposium on Artificial Intelligence and Robotics
ICSFrontiers 2020   2020 2nd International Conference on Frontiers of Information and Communications Security (ICSFrontiers 2020)
NIOB 2019   Special Issue on Novel Insights on Ocular Biometrics In Image and Vision Computing