Call for Papers Special issue on Contextual Vision Computing Recent years have witnessed the popularity of web 2.0 content. Examples include YouTube, Facebook, Myspace, etc. The proliferation of such applications on social web and social networks have produced a new type of multimedia content, termed as "social media" here as it is created for sharing via the web. The intrinsic attributes of social media is to facilitate interactive information sharing, interoperability and collaboration on the internet. By virtue of that, web images, videos and audios are generally accompanied by user-contributed contextual information such as tag, comments, favorites, etc. Massive emerging social media data offer new opportunities for resolving the long-standing challenges in computer vision and multimedia. For example, how to jointly represent the visual aspect and user annotations of multimedia data and how can we build video indexing and search benefit from the contextual information? Furthermore, this new media also introduces many challenging and new research problems and many exciting real-world applications (e.g. social image search, social group recommendation, etc.). The special issue seeks for original contribution of works which address the challenges from contextual vision computing. The list of possible topics includes, but is not limited to: - Visual Attributes Learning - Contextual models for vision and social media - Scalable Content analysis for vision and social media - Efficient learning and mining algorithms for scalable vision and social media analysis - Machine tagging, semantic annotation, and object recognition on massive multimedia collections - Crowdsourcing for vision problems - Scene reconstruction and matching using large scale web images - Community detection and clustering in social media - Spatio-temporal analysis for event discover and detection - Social media applications for prediction and monitoring - Indexing and retrieval for large-scal social media information - Behavior analysis in social media - Analysis of world events from social media streams Important Dates: Paper submission due: Feb. 1, 2013 First notification: May 1, 2013 Final decision: Aug. 1, 2013 Publication date: Dec. 2013 Guest Editors: Richang Hong, Hefei University of Technology, China Qi Tian, University of Texas at San Antonio, USA Nicu Sebe, University of Trento, Italy _________________________________________________________________ About MVA Machine Vision and Applications journal publishes high-quality technical contributions in machine vision and its applications. For applications oriented contributions it is expected they will deal with innovative applications of machine vision and will contain in depth experimental analysis on real world data sets. Specifically, the editors encourage submittals in all applications of image and video related computing including but not limited to Biometric analysis, Medical image analysis, Robot navigation, Surveillance system and Visual inspection. For theoretical contributions it is expected they will make significant contribution to the state of art. All submissions including but not limited to Image registration, Image retrieval, Action recognition, Object tracking, Target detection, Video retrieval are encouraged.