[visionlist] Call for Papers: Computer Vision and Image Understanding (CVIU) special issue on "Large-Scale Multimedia Semantic Indexing"

[Yadong Mu]

Computer Vision and Image Understanding Call for Papers 

Special Issue on "Large Scale Multimedia Semantic Indexing"

 

Scope

 

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 (muyadong at gmail.com)

.       Dr. Yi Yang, Carnegie Mellon University, USA (yiyang at cs.cmu.edu) 

.       Dr. Liangliang Cao, IBM T.J. Watson Research Lab, USA
(liangliang.cao at us.ibm.com)

.       Prof. Shuicheng Yan, National University of Singapore
(eleyans at nus.edu.sg)

.       Prof. Qi Tian, University of Texas at San Antonio, USA
(qitian at cs.utsa.edu)

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist/attachments/20130121/7dcf4612/attachment.htm>