In this paper, a complete architecture for knowledge-assisted cross-media analysis of News-related multimedia content is presented, along with its constituent components. The proposed analysis architecture employs state-of-the-art methods for the analysis of each individual modality (visual, audio, text) separately, and proposes a fusion technique based on the particular characteristics of News-related content for the combination of the individual modality analysis results. Experimental results on news broadcast video illustrate the usefulness of the proposed techniques in the automatic generation of semantic video annotations
This paper describes the combination of advanced technologies for social-media-based story detection...
ABSTRACT: The global diffusion of the Internet has enabled the distribution of informative content t...
We propose a generic and robust framework for news video indexing which we founded on a broadcast ne...
News-related content is nowadays among the most popular types of content for users in everyday appli...
Copyright © 2010 Vasileios Mezaris et al. This is an open access article distributed under the Creat...
Information on the World Wide Web appears in diverse forms, including text, image audio, and video. ...
This paper addresses the area of video annotation, indexing and retrieval, and shows how a set of to...
In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and ex...
Thanks to ubiquitous Web connectivity and portable multimedia devices, it has never been so easy to ...
This paper reports work on automated meta-data creation for multimedia content. The approach results...
This paper presents intermodal collaboration: a strategy for semantic content analysis for broadcast...
International audienceMultimedia annotation algorithms infer localized meta-data in multimedia conte...
With the huge amount of data that is collected every day and shared on the internet, many recent stu...
The deployment and integration of audio processing tools can enhance the semantic annotation of mult...
The Informedia Digital Video Library system extracts information from digitized video sources and al...
This paper describes the combination of advanced technologies for social-media-based story detection...
ABSTRACT: The global diffusion of the Internet has enabled the distribution of informative content t...
We propose a generic and robust framework for news video indexing which we founded on a broadcast ne...
News-related content is nowadays among the most popular types of content for users in everyday appli...
Copyright © 2010 Vasileios Mezaris et al. This is an open access article distributed under the Creat...
Information on the World Wide Web appears in diverse forms, including text, image audio, and video. ...
This paper addresses the area of video annotation, indexing and retrieval, and shows how a set of to...
In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and ex...
Thanks to ubiquitous Web connectivity and portable multimedia devices, it has never been so easy to ...
This paper reports work on automated meta-data creation for multimedia content. The approach results...
This paper presents intermodal collaboration: a strategy for semantic content analysis for broadcast...
International audienceMultimedia annotation algorithms infer localized meta-data in multimedia conte...
With the huge amount of data that is collected every day and shared on the internet, many recent stu...
The deployment and integration of audio processing tools can enhance the semantic annotation of mult...
The Informedia Digital Video Library system extracts information from digitized video sources and al...
This paper describes the combination of advanced technologies for social-media-based story detection...
ABSTRACT: The global diffusion of the Internet has enabled the distribution of informative content t...
We propose a generic and robust framework for news video indexing which we founded on a broadcast ne...