Laboratorio BIG DATA

International Journal of Multimedia Information Retrieval

www.springer.com/13735

 

GUEST EDITORS

Shih-Fu Chang, Columbia University

Thomas S. Huang, University of Illinois at Urbana-Champaign Michael S. Lew, Leiden University Bart Thomee, Yahoo Research

 

IMPORTANT DATES

Submission of manuscript: August 21st,  2014 Publication of special issue: Spring 2015

DESCRIPTION

The grand challenge in information retrieval is concept detection in images, video, audio and text.  Contributions in this area are leading to bridging the semantic gap and allowing search engines to understand imagery/text at a deep level.  This special issue provides a focus on the state-of-the-art in concept detection with Big Data using visual, textual and/or audio datasets.

Big Data can be used for large scale concept detection (many images for many concepts) or in deep training of specific concepts (many images for a few concepts). 

 

DATASETS

We recommend that the submissions address large well known datasets (a few examples would be ImageNet, MIRFLICKR, Wiki-Links, NUS-WIDE, ImageCLEF, MM Grand Challenge, YFCC100M or TRECVid.  Contributions using other large datasets are welcome especially those using multiple media and/or scientific imaging sources)

SUBMISSIONS

 

Manuscripts must be submitted through the online submission system for IJMIR at http://www.springer.com/13735  

(then follow link: Submit Online)

 

Please select Special Issue: Concept Detection with Big Data as the Article Type. When submitting a manuscript which is an expanded version of a conference paper, the conf. paper should be included as Supplementary Material during submission. All manuscripts will be rigorously peer-reviewed.

 

WWW

http://press.liacs.nl/ijmirbigdata

 

CONTACT

If you have any questions, please feel free to email Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo.">Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. or contact the IJMIR EIC, Mike Lew at  Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo.">Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo.

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