Title :
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
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;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6201867
