<title>Event-centric media management</title>

Abstract

The management of the vast amount of media assets captured at every day events such as meetings, birthday parties, vacation, and conferences has become an increasingly challenging problem. Today, most media management applications are media-centric. This means, they put the captured media assets into the center of the management. However, in recent years it has been proposed that events are a much better abstraction of human experience and thus provide a more appropriate means for managing media assets. Consequently, approaches that include events into their media management solution have been explored. However, they typically consider events only as some more metadata that can be extracted from the media assets. In addition, today's applications and approaches concentrate on particular problems such as event detection, tagging, sharing, classification, or clustering and are often focused on a single media type. In this paper, we argue for the benefits of an event-centric media management (EMMa) approach that looks at the problem of media management holistically. Based on a generic event model, we specify a media event model for the EMMa approach. The single phases and processes of the EMMa approach are defined in a general process chain for an event-centric media management, the EMMa cycle. This cycle follows the event concept throughout all phases and processes of the chain and puts the concept of events in the center of the media management. Based on the media event model and EMMa cycle, we design a component-based architecture for the EMMa approach and conduct an implementation of the approach.

Event-based media processing and analysis: A survey of the literature

“…Finally, in the direction of modeling a complex event using a sufficiently comprehensive representation, which differs from the above works in the number of event's aspects covered, we consider the event model E [91,171,206,207] for eventbased multimedia applications, its graph-based successor E* [79] with extended features such as for modeling time and space, and the Event-Model-F [171], which is an extension and formalization of the event model E. E* provides for elaborate features regarding expressing spatial relationships between events. Event-Model-F allows for describing complex mereological relationships (like the SsVM does), as well as supports spatio-temporal composition (similarly to the situation-awareness model of SAWA) [12,173].…”

A Joint Content-Event Model for Event-Centric Multimedia Indexing

“…In [6], [7], the event model E for echronicle applications is provided and the authors compile the general requirements that a common event model should satisfy. In [8], this model is further extended and specialized in order to support the description of events in multimedia data, similar to the way that COMM provides description of semantic entities in multimedia data. In [28], the event model F is proposed, which, in contrast to event model E, is based on the DOLCE foundational ontology to provide formal semantics and representation of context.…”

Semantic Multimedia

“…Thus, in media-centric approaches, events are considered only one concept among many such as the actual media management, a social network support, and others to describe the multimedia semantics. However, an event-centric management of media assets promises strong advantages over a media-centric approach [76]. Thus, it would be a much better approach for managing the multimedia content's semantics.…”

“…Thus, it would be a much better approach for managing the multimedia content's semantics. Early work in this area has been done such as the EMMA system [76]. However, extensive user studies have to be conducted to further underpin this claim.…”