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Depth maps based action recognition has been received much research attention in recent years due to its robustness to environmental elements in capturing and its relatively well performance in protecting user's privacy. Taking the captured sequential depth maps as inputs, we propose a framework in this paper to recognize actions from such data. We first recover multi-view 2D observations in each...
Scalable video summarization has emerged as an important problem in present day multimedia applications. Effective summaries need to be provided to the users for videos of any duration at low computational cost. In this paper, we propose a framework which is scalable during both the analysis and the generation stages of video summarization. The problem of scalable video summarization is modeled as...
In this paper, we further develop the research on recognition of activities, in videos recorded with wearable cameras, with Hierarchical Hidden Markov Model classifiers. The visual scenes being of a strong complexity in terms of motion and visual content, good performances have been obtained using multiple visual and audio cues. The adequate fusion of features from physically different description...
We have developed a browsing tool for visualizing information about geographic surfaces using map-based augmented reality (AR). Map-based AR technology enables virtual objects to be overlaid on an actual map, creating a tangible user interface. In map-based AR applications, a virtual lens pointer is often used for object selection. However, this type of interaction is difficult when there are many...
In this paper, a software framework and database system for biomedical image related to Chinese human genetic resources was proposed and implemented base on web database technique and SOA architecture. Firstly, the image characterization and storage implemented well with the conceived database system. Secondly, the customized imagery retrieval methods and the metadata retrieval approach were introduced...
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