In this paper, we present an intuitive graphic fra- mework introduced for the effective visualization of video content and associated audio-visual description, with the aim to facilitate a quick understanding and annotation of the semantic content of a video sequence. The basic idea consists in the visualization of a 2D feature space in which the shots of the considered video sequence are located. Moreover, the temporal position and the specific content of each shot can be displayed and analysed in more detail. The selected fea- tures are decided by the user, and can be updated during the navigation session. In the main window, shots of the consi- dered video sequence are displayed in a Cartesian plane, and the proposed environment offers v...
We propose a new method to refine the result of video annotation by exploiting the semantic and visu...
This paper describes a set of automatic extraction tools so as to generate a three-layer organizatio...
The rapidly increasing quantity of publicly available videos has driven research into developing aut...
In this paper we present an intuitive framework named Future-Viewer, introduced for the effective vi...
In this paper we address the problem of semi-automatic annotation of audio-visual sequences. Specifi...
In this work we propose an intuitive graphic framework for the effective visualization of MPEG-7 low...
In this paper, a new approach for semantic extraction is proposed. Assuming that the semantics of in...
This paper proposes a semantic audiovisual analysis approach for video summarization. The sequence t...
Nowadays, there is a lot of information in databases (text, audio/video form, etc.). It is important...
We present an encoding framework which exploits semantics for video content delivery. The video cont...
The problem of semantic indexing of multimedia documents is actually of great interest due to the wi...
directions As digital video databases become more and more pervasive, finding video in large databas...
In this paper, we introduce a novel framework for automatic Semantic Video Annotation. As this frame...
In this paper, we propose a novel scene detection algorithm which employs semantic, visual, textual ...
Περιέχει το πλήρες κείμενοThis paper aims to propose a system for the semantic annotation of audio-v...
We propose a new method to refine the result of video annotation by exploiting the semantic and visu...
This paper describes a set of automatic extraction tools so as to generate a three-layer organizatio...
The rapidly increasing quantity of publicly available videos has driven research into developing aut...
In this paper we present an intuitive framework named Future-Viewer, introduced for the effective vi...
In this paper we address the problem of semi-automatic annotation of audio-visual sequences. Specifi...
In this work we propose an intuitive graphic framework for the effective visualization of MPEG-7 low...
In this paper, a new approach for semantic extraction is proposed. Assuming that the semantics of in...
This paper proposes a semantic audiovisual analysis approach for video summarization. The sequence t...
Nowadays, there is a lot of information in databases (text, audio/video form, etc.). It is important...
We present an encoding framework which exploits semantics for video content delivery. The video cont...
The problem of semantic indexing of multimedia documents is actually of great interest due to the wi...
directions As digital video databases become more and more pervasive, finding video in large databas...
In this paper, we introduce a novel framework for automatic Semantic Video Annotation. As this frame...
In this paper, we propose a novel scene detection algorithm which employs semantic, visual, textual ...
Περιέχει το πλήρες κείμενοThis paper aims to propose a system for the semantic annotation of audio-v...
We propose a new method to refine the result of video annotation by exploiting the semantic and visu...
This paper describes a set of automatic extraction tools so as to generate a three-layer organizatio...
The rapidly increasing quantity of publicly available videos has driven research into developing aut...