{"content":[{"text":"Distributed Journaling of Distributed Media","bbox":{"left":0.195227,"top":0.128601,"width":0.6094379999999999,"height":0.03273699999999999}},{"text":"Viktor S. Wold Eide, Frank Eliassen, \n Ole-Christoffer Granmo and Olav Lysne ∗ \n Department of Informatics \n University of Oslo \n Gaustadalléen 23 \n P.O. Box 1080 Blindern \n 0314 Oslo, Norway.","bbox":{"left":0.302331,"top":0.179114,"width":0.40425900000000003,"height":0.150412}},{"text":"Abstract \n There are many challenges in devising solutions for on-line automatic content \n analysis, indexing and annotation of live networked multimedia sessions. These in- \n clude content analysis under uncertainty (evidence of content are missed or hallu- \n cinated), the computational complexity of feature extraction and object recognition, \n and the massive amount of data to be analysed under real-time requirements. \n In this paper we propose an architectural framework for on-line media content \n analysis targeted as an approach to the above challenges. This includes an approach \n for formulating and transforming high-level media content queries into distributable \n conﬁgurations of media content analysis algorithms. Our framework allows the sys- \n tem to guide the user in trading off between the reliability and latency of the content \n analysis. The uniqueness of our architecture lies in the combination of probabilistic \n knowledge-based media content analysis with QoS and distributed resource manage- \n ment to handle real-time requirements. This is all packaged into a generic framework \n that is tailorable to speciﬁc application domains.","bbox":{"left":0.192204,"top":0.378635,"width":0.616093,"height":0.250751}},{"text":"1 Introduction \n In this paper we introduce \"media journaling\" as a blanket term to refer to a broad class \n of applications in which users have the capability to capture multimedia content and re- \n lated information of real-world activities or sessions as they happen, as well as the abil- \n ity to process the media so as to create a segmented synchronized multimedia record of \n events. Media journaling will add value to applications such as video conferencing, dis- \n tributed/virtual class rooms, telemedical applications, and monitoring and surveillance \n systems such as trafﬁc surveillance. \n The focus of our research is the development of a framework for on-line (real-time) \n processing of networked multimedia sessions for the purpose of indexing and annotating \n the data being analysed. An advantage of a carefully designed framework is that new \n subtechnologies of relevance for this kind of task can be plugged into the framework as \n they become available. \n ∗Authors are listed alphabetically.","bbox":{"left":0.142992,"top":0.652717,"width":0.715371,"height":0.26808200000000004}},{"text":"1","bbox":{"left":0.590521,"top":0.937733,"width":0.010046,"height":0.018940999999999986}}],"images_bbox":[{"left":0.142971,"top":0.90353,"width":0.285983,"height":0.00057}],"images_bbox_not_text_overlap":[{"left":0.142971,"top":0.90353,"width":0.285983,"height":0.00057}]}