- From: Benoit Huet <Benoit.Huet@eurecom.fr>
- Date: Mon, 4 Apr 2011 10:03:04 +0200
- To: "'Benoit Huet'" <benoit.huet@eurecom.fr>
- Cc: <SIGMM@pi4.informatik.uni-mannheim.de>, <chorus1@chorus-ist.org>, <chorus2@chorus-ist.org>, <chorus3@chorus-ist.org>, <list-weknowit@iti.gr>, <mpeg-7@i5.informatik.rwth-aachen.de>, <mmkm@jiscmail.ac.uk>, <IRList@lists.shef.ac.uk>, <semantic-web@w3.org>, "'ACM ICMR'" <icmr@liacs.nl>, <ieee_icme_2011@lists.cs.ualberta.ca>
- Message-ID: <001e01cbf29e$b9c45f00$2d4d1d00$@fr>
Call for Papers Special Session: Multimedia Content Analysis Using Web Scale Social Media Data 2 August, 2011 in International Conference on Internet Multimedia Computing and Service Chengdu, China http://www.cs.cityu.edu.hk/~wuxiao/ICIMCS ---------------------------------------------------------------------------- ----------------- With the development of Web 2.0 technologies and popularity of digital content capture devices, the recent years have witnessed the emerging and booming of photo and video sharing websites (e.g., Flickr, YouTube). Massive and increasing multimedia data and their associated metadata, context and social information are being continuously uploaded to the web. These so-called social media data offers new opportunities to attack the traditional problems encountered in the online and local multimedia analysis and understanding. Recently, more and more research efforts from academic and industry have been dedicated to the opportunities for multimedia research brought by the Internet. Especially, data-driven (i.e., search-based) approaches have been proposed to analyze multimedia content by leveraging such web-scale social media data, which provide the possible only way to date to annotate or understand domain-free multimedia content. Besides, social media data are also used for tag recommendation or tag refinement. This new media also introduces many challenging and new research issues such as large-scale social image and video analysis and retrieval. This special session solicits contributions on novel techniques, algorithms and systems regarding multimedia content analysis using web-scale social media data as well as social media mining and search. Both review paper and technical paper are expected. Topics of interest include but are not limited to * Image annotation by mining image search results * Video annotation by similar video search * Web video categorization using social information * Image/Video tag refinement * Machine learning methods for multimedia content analysis using social media data * Large-scale image and video indexing * Scene completion, geotagging, and photo tourism using millions of photographs * Large-scale copy detection and near-duplicate detection * Social media mining and applications * Corpus construction using social media data Submissions for this session are required to follow the same format as regular ACM ICIMCS papers with no more than 6 pages (http://www.cs.cityu.edu.hk/~wuxiao/ICIMCS). All submitted papers will go through a peer review process. We will invite extended versions of selected papers for a special issue of a top-tier multimedia journal (under discussion). Important Dates: Paper Submission: May 15, 2011 Notification of Paper Acceptance: June 5, 2011 Camera-ready Paper Due: June 15, 2011 Special Session Date: 2 August, 2011 Organizers: Dr. Benoit Huet Assistant Professor Multimedia Communications Department, EURECOM, France Email: benoit.huet@eurecom.fr Dr. Haojie Li Associate Professor School of Software, Dalian University of Technology, China Email: hjli@dlut.edu.cn
Received on Monday, 4 April 2011 16:57:19 UTC