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Due to the prevalence of We-Media, information is quickly published and received in various forms anywhere and anytime through the Internet. The rich cross-media information carried by the multimodal data in multiple media has a wide audience, deeply reflects the social realities, and brings about much greater social impact than any single media information. Therefore, automatically detecting topics...
Descriptive visual word vocabulary serves as the foundation of large scale image retrieval systems. However, the visual word descriptive power is limited by the construction mechanisms based on either cluster center or partitioned feature space, since such mechanisms may merge the sparsely distributed features and split the densely distributed features. Besides, there are a large number of outlier...
In order to mine information effectively in the huge image database, we propose normal and reverse order serial models for two attribute partial order structure diagrams generated by the different attribute group for the same object group. And through a simple example using huge video/image database randomly selected from internet, it is confirmed the effectiveness and brevity of the proposed method,...
In order to improve the visualization of the whole relational structure for the image/video databases, a method based on formal concept analysis and the attribute partial order structure diagram is proposed. By choosing two groups of different attributes for the same object group, two attribute partial order structure diagrams are generated and connected. Then a normal and reverse serial model is...
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