In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for video modelling with emphasis on semantic content of video data. The video data model presented distinguishes four layers: the raw data layer, the feature layer, the object layer and the event layer. It supports automatic definition of high-level concepts, such as video objects and events, based on extracted features. We focus our attention on event descriptions in this paper and give two modelling examples in the medical and soccer domain to show that the proposed event grammar can be efficiently used in different domains
In this thesis we aim to represent an event in a video using semantic features. We start from a bank...
ate level semantic representation, as a basis for modeling and detecting complex events in unconstra...
The management of digital video has become a very challenging problem as the amount of video content...
[[abstract]]Traditional research on video data retrieval follows two general approaches. One is base...
Traditional research on video data retrieval follows two general approaches. One is based on text an...
Current solutions are still far from reaching the ultimate goal, namely to enable users to retrieve ...
[[abstract]]In this paper, a semantic video retrieval system is proposed based on the stories of the...
As a large amount of video data becomes publicly available, the need to model and query this data ef...
Recent increase in the use of video in many applications has revealed the need for extracting the co...
Cette thèse consiste à explorer l'usage d'outils de support de la sémantique des données dans le dom...
Abstract—Understanding video events, i.e., the translation of low-level content in video sequences i...
This paper addresses content-based video retrieval with an emphasis on spatio-temporal modeling and ...
With the development of video technology and appearance of new video-related applications, the amoun...
Increase in the use of video-based applications has shown the need for modelling and querying the se...
We propose semantic model vectors, an intermediate level semantic representation, as a basis for mod...
In this thesis we aim to represent an event in a video using semantic features. We start from a bank...
ate level semantic representation, as a basis for modeling and detecting complex events in unconstra...
The management of digital video has become a very challenging problem as the amount of video content...
[[abstract]]Traditional research on video data retrieval follows two general approaches. One is base...
Traditional research on video data retrieval follows two general approaches. One is based on text an...
Current solutions are still far from reaching the ultimate goal, namely to enable users to retrieve ...
[[abstract]]In this paper, a semantic video retrieval system is proposed based on the stories of the...
As a large amount of video data becomes publicly available, the need to model and query this data ef...
Recent increase in the use of video in many applications has revealed the need for extracting the co...
Cette thèse consiste à explorer l'usage d'outils de support de la sémantique des données dans le dom...
Abstract—Understanding video events, i.e., the translation of low-level content in video sequences i...
This paper addresses content-based video retrieval with an emphasis on spatio-temporal modeling and ...
With the development of video technology and appearance of new video-related applications, the amoun...
Increase in the use of video-based applications has shown the need for modelling and querying the se...
We propose semantic model vectors, an intermediate level semantic representation, as a basis for mod...
In this thesis we aim to represent an event in a video using semantic features. We start from a bank...
ate level semantic representation, as a basis for modeling and detecting complex events in unconstra...
The management of digital video has become a very challenging problem as the amount of video content...