A semantic analysis method based on concept lattice rules streamlined by negative samples

Author

Yu, Changhui ; Feng, Wanli ; Zhou, Hong

Author_Institution

Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China

fYear

2012

fDate

21-23 April 2012

Firstpage

1583

Lastpage

1586

Abstract

Video semantic concept detection plays an important role in video retrieval. On basis of the analysis that the videos contain rich semantic, this paper proposes a semantic analysis method based on concept lattice rules streamlined by negative samples, by introducing concept lattice, an important mathematical tool on knowledge processing and analysis of data. And the proposed method is applied to video semantic concept detection. Finally, we verify this method by news videos. Experiments show feasibility and validity of proposed method in video concept detection.

Keywords

information resources; object detection; video retrieval; concept lattice rules; data analysis; knowledge processing; negative sample streamlining; news videos; semantic analysis method; video retrieval; video semantic concept detection; Algorithm design and analysis; Feature extraction; Image color analysis; Lattices; Lenses; Semantics; Streaming media; concept lattice; semantic analysis; streamlined rules; video semantic concept detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4577-1414-6

Type

conf

DOI

10.1109/CECNet.2012.6201867

Filename

6201867