2011Information Security and Communications PrivacyRequires access

Survey on Content Filtering Technique

Xueguang Zhou

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Abstract

Nowadays content filtering technique,as a key technique to content security,receives much attention and achieves rapid progress. This paper presents a survey on the up-to-date development of content filtering,including filtering methods,evaluation indexes,and so on. The filtering method based on intelligent content analysis and multimedia content filtering technique is the research hotpots. This paper also points out that the problems,such as content deception attack,semantic feature extraction,dynamic updating of Keywords list,video and audio content filtering,are the main topics for further study of content filtering.

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What this paper is about

Nowadays content filtering technique,as a key technique to content security,receives much attention and achieves rapid progress. This paper presents a survey on the up-to-date development of content filtering,including filtering methods,evaluation indexes,and so on. The filtering method based on intelligent content analysis and multimedia content filtering technique is the research hotpots. This paper also points out that the problems,such as content deception attack,semantic feature extraction,dynamic updating of Keywords list,video and audio content filtering,are the main topics for further study of content filtering.

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Available abstract

Nowadays content filtering technique,as a key technique to content security,receives much attention and achieves rapid progress. This paper presents a survey on the up-to-date development of content filtering,including filtering methods,evaluation indexes,and so on. The filtering method based on intelligent content analysis and multimedia content filtering technique is the research hotpots. This paper also points out that the problems,such as content deception attack,semantic feature extraction,dynamic updating of Keywords list,video and audio content filtering,are the main topics for further study of content filtering.

Key concepts: Computer science, Content (measure theory), Key (lock), Information retrieval, Video content analysis, Collaborative filtering, Feature (linguistics), Content analysis

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