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  • 标题:Sequential Mining of Multimedia Images by using SPADE Algorithm
  • 本地全文:下载
  • 作者:Harsh mathur
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2013
  • 卷号:4
  • 期号:6
  • 页码:791-795
  • 出版社:TechScience Publications
  • 摘要:In this paper we have made unsequenced images in a sequenced form with the help of SPADE algorithm. In this first we have converted a video into images form. A video can contain thousand images in it. So first we detected which type of image is blurred or unsequenced . so that we can correct it with the help of sequencing algorithm. Every image is having its feature extraction by which we can detect the quality of that image. So you can see that this paper is a combination of image processing and data mining , so that you can call it image mining .At last we have found out the graph for CPU time utilization and image forms.so at last we have distortion less image. In this type of project the biggest task is that in a pair of thousand images how you can find which image is distorted or fade and so as to simplify it we are using the sequencing algorithm. . Now the idea is to use shape in object classification field. In this paper we are Extracting the Features of image frames and Identifying the image , to find the sequence which part of the image frame we put sequential pattern mining, By using the sequential pattern mining then we find the sequence of frames and we make a sequence of frames
  • 关键词:Sequence mining; multimedia; image; and video
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