Abstract Events have gained increasing interest in the area of multimedia in recent years. There have been many approaches published and research conducted on how to extract events from multimedia, represent it using appropriate models, and how to use events in end user applications. In this paper, we conduct an extensive analysis of existing event models along commonly identified aspects of events. In addition, we analyze how the different aspects of events relate to each other and how they can be applied together. Subsequently, we look into different approaches for how to index multimedia data. Finally, we elaborate on how to link the multimedia data with events in order to provide the basis for future event-based multimedia applications
We propose the time interval multimedia event (TIME) framework as a robust approach for classificati...
The rapid growth of online data has made it very convenient for people to obtain information. Howeve...
We present a method combining semantic inferencing and visual analysis for finding automatically med...
Events have gained increasing interest in the area of multimedia in recent years. There have been ma...
Events have gained increasing interest in the area of multimedia in recent years. There have been ma...
Research on event-based processing and analysis of media is receiving an increasing attention from t...
This paper presents an overview of the Joint Workshop on Modeling and Representing Events (JMRE), wh...
This paper presents an overview of the Joint Workshop on Modeling and Representing Events (JMRE), wh...
Events are real-world occurrences that unfold over space and time. Event mining from multimedia stre...
The nature of information has changed significantly in the last two decades. Now information is mult...
Capture, processing, and assimilation of digital media-based information such as video, images, or a...
Abstract—The proliferation of multimedia narratives has contributed to what is known as the “crisis ...
eChronicle applications are inherently event-centric, en-abling users to find and explore important ...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
events are ubiquitous in multimedia, no common notion of events has emerged. Events appear in multim...
We propose the time interval multimedia event (TIME) framework as a robust approach for classificati...
The rapid growth of online data has made it very convenient for people to obtain information. Howeve...
We present a method combining semantic inferencing and visual analysis for finding automatically med...
Events have gained increasing interest in the area of multimedia in recent years. There have been ma...
Events have gained increasing interest in the area of multimedia in recent years. There have been ma...
Research on event-based processing and analysis of media is receiving an increasing attention from t...
This paper presents an overview of the Joint Workshop on Modeling and Representing Events (JMRE), wh...
This paper presents an overview of the Joint Workshop on Modeling and Representing Events (JMRE), wh...
Events are real-world occurrences that unfold over space and time. Event mining from multimedia stre...
The nature of information has changed significantly in the last two decades. Now information is mult...
Capture, processing, and assimilation of digital media-based information such as video, images, or a...
Abstract—The proliferation of multimedia narratives has contributed to what is known as the “crisis ...
eChronicle applications are inherently event-centric, en-abling users to find and explore important ...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
events are ubiquitous in multimedia, no common notion of events has emerged. Events appear in multim...
We propose the time interval multimedia event (TIME) framework as a robust approach for classificati...
The rapid growth of online data has made it very convenient for people to obtain information. Howeve...
We present a method combining semantic inferencing and visual analysis for finding automatically med...