An Adaptive Cloud Image Processing Mechanism over Omnivore
This paper provides an Image Processing mechanism based on Omnivor. Large scale cloud images were divided into 9 sub images. Each image’s position was recorded and relative contented based image processing algorithms were arranged. Arranged mission was submitted to Omnivor via JSDL. After obtaining result of each sub image, different rights were granted with different position’s sub images. Thus, interest area could be emphasized from sub image and the feature could stand for the image more accurately.
Cloud Image CBIR Image Processing Omnivore
Jian Xu Yongliang Zhang CangYu Wang
Center of Research and Engineering Nanjing College of Information Technology 210046 Nanjing, P.R.Chi Mathematic and Statistic College Nanjing Audit University 211815 Nanjing, P.R. China Yunnan Agricultural University 650201 Kunming, P.R. China
国际会议
The Ninth International Conference on Grid and Cloud Computing(第九届网格与云计算国际学术会议 GCC 2010)
南京
英文
495-497
2010-11-01(万方平台首次上网日期,不代表论文的发表时间)