以往的包装器主要针对仅含有一个数据块的Web页面，而对含有多个信息块的Web页面，简称MIB(Multiple Information Block), Web页面无法处理。该文提出了一个新的抽取规则，结合了基于文档结构的抽取规则和基于特征Pattern匹配的抽取规...
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以往的包装器主要针对仅含有一个数据块的Web页面，而对含有多个信息块的Web页面，简称MIB(Multiple Information Block), Web页面无法处理。该文提出了一个新的抽取规则，结合了基于文档结构的抽取规则和基于特征Pattern匹配的抽取规则的优点，能够有效地抽取MIB Web页面中的信息。
There are so many multimedia resources now. But it is difficult to look for any video thing amongthem. MPEG-4 is a major technique used for video coding. In the paper,some methods based on MPEG-4 coding stan-dard for ...
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There are so many multimedia resources now. But it is difficult to look for any video thing amongthem. MPEG-4 is a major technique used for video coding. In the paper,some methods based on MPEG-4 coding stan-dard for video retrival are introduced. The focus is on converting video data to textual data,then video retrival is con-verted to textual retrival. XML technique is involved naturally.
A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divide the on-line graphics recognition process into four stages: preprocessing,shape classif...
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A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divide the on-line graphics recognition process into four stages: preprocessing,shape classification,shape fitting,and regularization. Attraction Force Model is employed to progressively combine the vertices on the input sketchy stroke and reduce the total number of vertices before the type of shape can be determined. After that ,the shape is fitted and gradually rectified to a regular one,thus the regularized shape fits the user intended one *** results show that this algorithm can yield good recognition precision(averagely above 90% )and fine regularization effect but with fast speed. Consequently,it is especially suitable to computational critical environment such as PDAs,which solely depends on a pen-based user interface.
Interpreting background is very important in natural scene images. This paper addresses the automaticclassification of background region by using visual semantic template. The method to create the templates is intro-d...
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Interpreting background is very important in natural scene images. This paper addresses the automaticclassification of background region by using visual semantic template. The method to create the templates is intro-duced first. Then we use these templates to classify background regions, and the results are analyzed. We also usethese templates to locate background objects in images, and to determine whether an image contains certain kind ofbackground. The result is promising in object locating. Some approaches to improve the ability of these templates arealso discussed.
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