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Website http://sitis-conf.org/en/social-media-utilization-environment-smue2013.php?Preview=ok |
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Category Semantic web and multi-media search; Multimedia content analysis and retrieval; Content-based image retrieval architecture in early years and today; Object recognition and segmentation; Existing and latest feature extraction techniques; Multi-media classification by machine learning; Bags-of-Words approach; Automatic image annotation/linguistic indexing; Orthologies/taxonomies and folksonomies; Multimedia analysis and applications; Multimedia databases (include digital libraries, museum, art or other social/cultural databases); Multi-media communications and Mobile communications (smart/feature phone, tablet, etc.); Social media environment (SNS, art, historical, heritage culture, stage, attraction, advertising, etc.); Technologies to retrieve large multi-media data;
Deadline: August 12, 2013 | Date: December 02, 2013-December 05, 2013
Venue/Country: Kyoto, Japan
Updated: 2013-07-24 17:36:40 (GMT+9)
_/_/_/ Scope of the workshop _/_/_/In recent years, social media has become an essential part of networking and communication environment online. As people use this environment to connect one another and retrieve different information of their interest, one of the most popular information which is being shared through the social media network is multimedia data such as photos, video and music. Along with this popularity, various multimedia-based applications are developed to entertain the users. These include art creation (e.g. applications for a portrait photo into a pencil drawing or a painting) and cultural creation (e.g. applications for processing a scenery photo into a Japanese wood-print art. In the field of multimedia image processing, semantic multi-media retrieval has been in a main focus of research for the last two decades. Recently a large number of cutting-edge algorithms have been developed using object recognition techniques for predetermined domains such as identifying animals and plants over the Internet or large datasets. In order to overcome the so-called "semantic gap", content-based image retrieval methods using low-level visual features have been exploited and applied at early years until now. Today newer methods have been developed. Artificial intelligence and machine learning techniques applying mainly unsupervised learning is a focused research area. A more recent research, which is gaining an increased interest, is connecting low-level features with contextual and conceptual information. Meanwhile, emergence of high-end devices such as smart phones comes with a wide variety of metadata. Selectively applying some useful metadata can further improve intelligence of the semantic multi-media research environment._/_/_/ Topics of interest _/_/_/Topics of interest for the workshop include but not limited to:Semantic web and multi-media searchMultimedia content analysis and retrievalContent-based image retrieval architecture in early years and todayObject recognition and segmentationExisting and latest feature extraction techniquesMulti-media classification by machine learningBags-of-Words approachAutomatic image annotation/linguistic indexingOrthologies, taxonomies and folksonomiesMultimedia analysis and applicationsMultimedia databases (include digital libraries, museum, art or other social/cultural databases)Multi-media communications and Mobile communications (smart/feature phone, tablet, etc.)Social media environment (SNS, art, historical, heritage culture, stage, attraction, advertising, etc.)Technologies to retrieve large multi-media data_/_/_/ Important dates _/_/_/Paper Submission: August 12, 2013 (midnight, Pacific Standard Time)Authors’ notification: September 12, 2013Final camera versions due: October 5, 2013Authors’ registration: October 10, 2013_/_/_/ Submission guidelines _/_/_/All submissions should be in IEEE conference style and PDF format. Papers may not exceed 8 pages. Two extra pages can be purchased. Paper submission will only be online via: Easy Chair (http://www.easychair.org/conferences/?conf=sitis2013
)The online system will be used to handle and process all papers and to prepare for the final proceedings. All submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression by at least two reviewers. The organizers will examine the reviews and make final paper selections. More details about the submission process can be found on the conference website._/_/_/ Publication _/_/_/Accepted papers will be included in the conference proceedings and published by IEEE Computer Society and referenced in IEEE explore and major indexes. The proceedings will be available at the conference. Extended version of selected accepted papers will be considered for publication in major journals._/_/_/ Registration _/_/_/At least one author of each accepted paper must register for the workshop. Registration must be done on the SITIS website at the time when the author sends the camera-ready copy of the accepted paper to the workshop chair. Workshop registration fee is determined by SITIS. A single registration for the workshop or the conference allows to attend both events._/_/_/ Chair _/_/_/KUTICSNE MATZ ANDREA, ICU, Japan_/_/_/ Publicity and Liaison chair _/_/_/Akihiko NAKAGAWA, ICU, JAPANKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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