Apologies if you receive multiple copies. +-----------------------------------------------------------------------------------------------------------+ Journal of Visual Communication and Image Representation (JVCI) Special Issue on "Large-Scale Image and Video Search: Challenges, Technologies, and Trends" +-----------------------------------------------------------------------------------------------------------+ The past recent years have witnessed the explosive growth of image and video data on the Internet, which brings significant challenges and profound impacts to search and related technologies. It is challenging for many existing algorithms to effectively and efficiently handle very large collections of image and video contents, especially when the scale rises from tens of thousands to tens of millions or even billions. Fortunately, along with the growth of imagery contents, more and more resources on the Internet become available, such as the associated metadata, context and social information. In addition, the power of grassroots has been fully demonstrated in the Web 2.0 era. For example, they can easily tag and comment on millions of images and videos, as well as label millions of images via a simple game. These facts have both raised challenges of large-scale search and provided opportunities for inventing new methodologies and pushing forward the frontiers of information technology. Recently, many research efforts are dedicated to developing new search technologies to overcome the scalability issue. This trend of rapidly increasing data scales is anticipated to spread across a still wider range of research communities. This special issue is intended to bring together the latest research results in this direction. ----------- Scope ----------- The scope of this special issue is to cover all aspects that relate to large-scale image and video search. Topics of interest include, but are not limited to - Large-scale image and video indexing, including high-dimensional indexing, semantic- based indexing, etc. - Large-scale image and video annotation/tagging, including new annotation and tagging interface, concept detection, categorization, tag recommendation, game-based tagging, tag filtering, etc. - Large-scale image and video ranking, including ranking models, reranking, learning to rank, ranking performance evaluation, etc. - Interactive image and video search, including relevance feedback, query suggestion, recommendation, etc. - Image and video search presentation, such as search results clustering, browsing, and summarization. - Large-scale image and video copy detection and near-duplication detection. - Large-scale social-network analysis for image and video applications. - Large-scale image and video benchmark dataset for research. - Large-scale image and video meta-search. - Personalized image and video search. ---------------------------------- Information for Authors ---------------------------------- Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the "Journal of Visual Communication and Image Representation" at http://ees.elsevier.com/jvci/. When submitting via this page, please select "LargeScaleImageVideoSearch" as the Article Type. Prospective authors should submit high quality, original manuscripts that have not appeared, nor are under consideration, in any other journals. All submissions will be peer reviewed following the JVCI reviewing procedures. ------------------------ Important Dates ------------------------ Manuscript Submission Deadline: November 1, 2009 Notification of Acceptance/Rejection: March 1, 2010 Final Manuscript Due to JVCI: April 1, 2010 Expected Publication Date: Fall, 2010 --------------------- Guest Editors --------------------- Meng Wang, Microsoft Research Asia, China (mengwang@microsoft.com) Nicu Sebe, University of Trento, Italy (sebe@disi.unitn.it) Tao Mei, Microsoft Research Asia, China (tmei@microsoft.com) Jia Li, The Pennsylvania State University, USA (jiali@psu.edu) Kiyoharu Aizawa, University of Tokyo, Japan (aizawa@hal.t.u-tokyo.ac.jp)