Cloud-based Car Image Retrieval with Interactive Script
To enhance the retrieval efficiency,a User-centered cloud-based script Programming Environment is proposed(UPE).This environment consist three main components.Firstly,we designed a set of primitives of car image retrieval and implemented in Julia,a high performance scripting language.The feature extracting algorithms(SIFT,Scale-Invariant Feature Transform)and feature matching were implemented on muti-/many-core platform.Secondly,we constructed a function library to auto-adapt heterogeneous platform.Users orchestrated primitives in Julia script to construct their applications and debug/run it in UPE.Finally,this UPE is coded in Java to edit,debug,and run Julia codes.UPE help users passing codes as a message onto a remote supercomputer.Users needed not concern themselves to the supercomputer architecture details.The experimental results show that the whole retrieval process is speed up 26.35x,and the accuracy enhanced to 33.63%with a 100%recall ratio.The performance loss of Julia is about 2.65%compared with C implementation.
Cloud programming image retrieval function library Julia script
Changyou Zhang Bo Huang Hongcai Chen Yu Cheng Li Wang Ting Wang
Laboratory of Parallel Software and Computing Science,Institute of Software,the Chinese Academy of S Laboratory of Parallel Software and Computing Science,Institute of Software,the Chinese Academy of S Institute of Applied Mathematics,Hebei Academy of Sciences,Shijiazhuang 050081,China School of Computer Science and Technology,Taiyuan University of Technology,Shanxi 030024,China
国际会议
南昌
英文
1-14
2013-09-26（万方平台首次上网日期，不代表论文的发表时间）