One of the common parts of news is to provide the back-ground for a current event, such as the resignation of a Prime Minister. This paper addresses a framework that facilitates semi-automated authoring of explanatory audio-visual news topics in a retrospective style for the domain of politics based on already edited new stories available in the repository of the news corporation. The aim is to facilitate a journalist with an audio-visual body based on which he/she can finalize the explanatory piece. The proposed framework enhances current state of the art video summarization by allowing the combination of different news stories into one coherent explanation about a topic of the current news. The frame-work introduces techniques that exploi...
Purpose ��� The purpose of this research is to develop a method for automatic construction of multi-...
Abstract—Compact representations of video data greatly en-hances efficient video browsing. Such repr...
In this paper, we propose a framework to produce topic-focused summarization of news events, based o...
One of the common parts of news is to provide the background for a current event, such as the resign...
News videos delivered from different sources constitute a huge volume of daily information. These vi...
This thesis describes the automation and evaluation of structural classification and summarisation o...
A primary objective of news articles is to establish the factual record for an event, frequently ach...
This paper describes the combination of advanced technologies for social-media-based story detection...
News videos constitute an important source of information for tracking and documenting important eve...
With the huge amount of data that is collected every day and shared on the internet, many recent stu...
Event extraction has been well studied for more than two decades, through both the lens of document-...
Abstract—Recent advance in digital storage technology has enabled us to archive more than 1,700 hour...
In this paper, we propose a framework to produce topic-focused summarization of news events, based o...
Qlusty generates videos describing the coverage of the same event by different news outlets automati...
for tracking and documenting important events. In these videos, news stories are often accompanied b...
Purpose ��� The purpose of this research is to develop a method for automatic construction of multi-...
Abstract—Compact representations of video data greatly en-hances efficient video browsing. Such repr...
In this paper, we propose a framework to produce topic-focused summarization of news events, based o...
One of the common parts of news is to provide the background for a current event, such as the resign...
News videos delivered from different sources constitute a huge volume of daily information. These vi...
This thesis describes the automation and evaluation of structural classification and summarisation o...
A primary objective of news articles is to establish the factual record for an event, frequently ach...
This paper describes the combination of advanced technologies for social-media-based story detection...
News videos constitute an important source of information for tracking and documenting important eve...
With the huge amount of data that is collected every day and shared on the internet, many recent stu...
Event extraction has been well studied for more than two decades, through both the lens of document-...
Abstract—Recent advance in digital storage technology has enabled us to archive more than 1,700 hour...
In this paper, we propose a framework to produce topic-focused summarization of news events, based o...
Qlusty generates videos describing the coverage of the same event by different news outlets automati...
for tracking and documenting important events. In these videos, news stories are often accompanied b...
Purpose ��� The purpose of this research is to develop a method for automatic construction of multi-...
Abstract—Compact representations of video data greatly en-hances efficient video browsing. Such repr...
In this paper, we propose a framework to produce topic-focused summarization of news events, based o...