Call For Papers for the 4th International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS2013) held in conjunction with the ACM International Conference on Multimedia ACMMM2013, 21-25 October 2013, Barcelona, Catalonia (Spain) http://www.artemis2013.tuc.gr/ =============== Emulating the efficiency and robustness by which the human brain represents information has been a core challenge in machine learning research. The human brain does not work by explicitly pre-processing sensory signals but rather allows them to propagate into complex hierarchies. Then, as time elapses, we learn to represent these observations using (structured or not) regularities. This implies that the human information processing mechanisms suggest "deep architectures" for learning, i.e., hierarchical, multi-layer models. This discovery motivated the emergence of the subfield of deep machine learning, which focuses on computational models for information representation that exhibit similar characteristics to that of the humans. This research area has strong impact on many real-life multimedia applications based on a semantic characterization and annotation of video streams in various domains (e.g., sports, news, documentaries, movies and surveillance), either broadcast or user-generated videos. Although a first critical issue is the estimation of quantitative parameters describing where events are detected, recent trends are facing the analysis of multimedia footage by applying image and video understanding techniques to that detected/tracked motion. That is, the challenge is becoming the generation of qualitative descriptions about the meaning of motion, therefore describing not only where, but also why an event is being observed. The goal of this workshop is to seek for innovative contribution in the above fields bringing together researchers from machine learning, image processing and computer vision. The new research achievements should be demonstrated on real-world and complex application scenarios promoting the current research achievements. Potential topics include, but are not limited to: - Advanced machine learning strategies in computer vision, - Transfer, learning, deep learning, active learning, on-line learning - Methods for robust detection of semantic concepts in video streams; - Object/human detection and tracking using advanced machine learning tools - Annotation of events and human motion and activity in large-scale multimedia content - Identification of spatio-temporal, causal and contextual relations of events - Semantic and event-based summarization, matching and retrieval of monitored video footage - Enhancement of events analysis based on attention models or multiscale/multisource data fusions - Event- and context-oriented relevance feedback algorithms - Strategies for context learning (background scene and its regions, objects and agents) - Research projects in the respective fields (international standardization activities, national/international research projects). - Real-life applications, like industrial, traffic analysis, critical infrastructures, athletic events, etc =============== Important Dates =============== Submission deadline: June 15, 2013 Notification of acceptance: July 22, 2013 Camera ready submission: July 26, 2013 Workshop date: October 21, 2013 =============== Paper submission instructions =============== Paper submission guidelines are described here: http://acmmm13.org/authors/submissions-instructions/ Authors should take into account the following: -All papers must be written in English and submitted in pdf format. -Submissions will be rejected without review if they: contain more than 10 pages; violate the double-blind policy; violate the dual- submission policy. =============== Organizers =============== Marco Bertini, University of Florence, Italy Anastasios D. Doulamis - Technical University of Crete, Greece Nikolaos D. Doulamis - National Technical University of Athens, Greece Jordi Gonzàlez - Universitat Autònoma de Barcelona and Computer Vision Center, Spain Thomas B. Moeslund - University of Aalborg, Denmark ===============