Add to ORKGComparing to other videos, news video contains more important information. Processing a news video with semantic extraction,nbspabstract and annotate its sub-theme can facilitate our operations such as reading and retrieval, make the news video more easy to management and application. In this paper, we use news video text area positioning and extraction technology to obtain text corpus, put these sentences in Chinese word segmentation and syntactic analysis system, then computation sentence weighting and ranking them, calculate the similarity with the sentences. Finally, conduct a study about multi-topic extraction and summarization. The experimental result show this method with high pertinence which can better achieve the targets. nbs
In this paper, we present a framework for segmenting the news programs into different story topics. ...
This paper describes the combination of advanced technologies for social-media-based story detection...
This is a high level computer vision paper, which employs concepts from Natural Language Understandi...
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experi...
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experi...
In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and ex...
Abstract In this paper we describe a multi-strategy approach to improving semantic extraction from n...
AbstractWith the rapid increase of on-line video resources, there is an urgent demand for text detec...
To make full use of the overwhelming volume of news videos available today, it is necessary to track...
News videos delivered from different sources constitute a huge volume of daily information. These vi...
In this paper, we present a framework for segmenting the news programs into different story topics. ...
With the development of Internet starting diverse learning chances, but that also caused gradually a...
Automatic word segmentation is the foundation in Chinese text processing. It is a direction that to ...
Audio-visual content analysis is an area that is receiving increased interest, especially with the a...
Summarization of videos using extracted audio is an area of natural language processing that aims to...
In this paper, we present a framework for segmenting the news programs into different story topics. ...
This paper describes the combination of advanced technologies for social-media-based story detection...
This is a high level computer vision paper, which employs concepts from Natural Language Understandi...
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experi...
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experi...
In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and ex...
Abstract In this paper we describe a multi-strategy approach to improving semantic extraction from n...
AbstractWith the rapid increase of on-line video resources, there is an urgent demand for text detec...
To make full use of the overwhelming volume of news videos available today, it is necessary to track...
News videos delivered from different sources constitute a huge volume of daily information. These vi...
In this paper, we present a framework for segmenting the news programs into different story topics. ...
With the development of Internet starting diverse learning chances, but that also caused gradually a...
Automatic word segmentation is the foundation in Chinese text processing. It is a direction that to ...
Audio-visual content analysis is an area that is receiving increased interest, especially with the a...
Summarization of videos using extracted audio is an area of natural language processing that aims to...
In this paper, we present a framework for segmenting the news programs into different story topics. ...
This paper describes the combination of advanced technologies for social-media-based story detection...
This is a high level computer vision paper, which employs concepts from Natural Language Understandi...