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Conventional context-aware system refers to an intelligent mobile system that can sense the Real Space (RS). Its essential functions are to understand the situation in RS as well as to supply suitable information or services to users depending on the perceived situation. In order to realize that, pattern recognition technologies based on signal or image processing (non-symbolic processing) as well...
Visual verb is a special type of verb. Between the semantic characteristics of modern Chinese visual verbs exists relation of compatibility or repulsion. Through calculation and analysis of the compatibility degree, we find that, in semantic characteristics, the relation can be "compatibility" or "repulsion", which is determined by the features of visual behavior itself. In addition,...
Conventional approaches to image annotation tackle the problem based on the low-level visual information. Considering the importance of the information on the constrained interaction among the objects in a real world scene, contextual information has been utilized to recognize scene and object categories. In this paper, we propose a Bayesian approach to region-based image annotation, which integrates...
In this paper, we propose a spatiotemporal salient objects-based approach for video retrieval. The spatiotemporal salient object is defined as the region sequence which is spatial salient and temporal continuous at the same time. As attention analysis is an effective mechanism for salient information selection, it provides a practical approach to narrow the semantic gap. Most existing methods extract...
Making the semantic description and automatic semantic annotation of the image which contains rich contents and intuitive expression is a research subject that is challenging. It is a key technology of realizing fast and effective image retrieval and a research focusing on cross media mining. Also it has great application value in various kinds of fields. This paper studies and discusses image media...
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