Dissertation > Excellent graduate degree dissertation topics show

Research and Implementation of Design Patent Images Retrieval System Based on Hadoop

Author: WangXianWei
Tutor: DaiQingYun
School: Guangdong University of Technology
Course: Signal and Information Processing
Keywords: Hadoop MapReduce Design patent Image Retrieval Distributed Computing
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 223
Quote: 1
Read: Download Dissertation

Abstract


The traditional appearance of patent search is text-based query , this mode can not make full use of appearance patent images contained the rich visual information , the search range , and graphics similar to mainly rely on manual identification of heavy workload , low efficiency . To solve the problems that exist in the traditional retrieval mode , appearance patent by content-based image retrieval technology , shape , texture and color characteristics of the image image to describe the appearance of a patent based on these image features patent library image similarity discriminant appearance patent images query, retrieval automation to improve the retrieval speed and precision design similarity judgments image retrieval process of data-intensive computing , image retrieval , will consume a lot of CPU resources . Existing B / S image retrieval system for a single-node architecture , with the rapid growth of the appearance of the number of patents , the presence of a the retrieve slow , complicated by the poor can not handle large-scale data . Proposed on the basis of the analysis of existing image retrieval system , an the appearance patent image retrieval method based on Hadoop , content-based image retrieval technology with MapReduce parallel computing framework combining the appearance of the the patent image and image feature library stored in HDFS . Hadoop distributed systems for image retrieval operations , patented image feature database segmentation . Each data block is passed to the Hadoop Distributed System Map task compute nodes , Map task in the form of key-value pairs to read the patent image library feature data , and extract the sample image , shape , texture and color features patent characteristics the library features similarity matching computed and the results are output in the form of key-value pairs . Reduce task receives the Map tasks calculation results , to be sorted by similarity size , to give the image retrieval results to realize the image search distributed computing structures by the ordinary PC Hadoop distributed environment , the development of image retrieval application in Hadoop distribution The systems on the test, be compared with existing image retrieval system . Experimental results show that this method can balance the load on the system , improve resource utilization , reduce the time of the image retrieval on large data sets , and Hadoop Distributed load balancing , reliability and scalability analysis

Related Dissertations

  1. Research on Facial Feature Extraction and Matching Algorithms for Image Retrieval,TP391.41
  2. The Research and Implemention of Image Retrieval Based on User Interested Feature,TP391.41
  3. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  4. Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41
  5. The Discovery of User Concept Region Based on Multiple Instance Learning,TP391.41
  6. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  7. Research and Application of Diverse Density Learning Algorithm,TP181
  8. Research of Shape Based Image Retrieval in Han Dynasty Stone,TP391.41
  9. Research and Application of Map/Reduce Based Distributed Log Analyzer,TP311.52
  10. Design and Implementation of Online Shopping Prototype System Based on Hadoop,TP311.52
  11. Research and Implementation of Key Techniques of Building Distributed System,TP338.8
  12. The Research of Software Service Platform Based on Cloud Computing,TP311.52
  13. An Intrusion Detection System for High-Speed Networks,TP393.08
  14. Incremental Learning Method Based on Cloud Computing,TP311.13
  15. Research on Locally Features Aggregating and Indexing Algorithm in Large-scale Image Retrieval,TP391.3
  16. Hadoop-based video transcoding system design and implementation,TN919.81
  17. Hadoop data center deployment and tracking systems research,TP308
  18. Linux-based platform LAN Cloud Monitoring System Analysis and Implementation,TP311.52
  19. Jade Multi-Agent Based Image Retrieval System,TP391.3
  20. Fault Tolerance for MapReduce in the Cloud Environment,TP302.8
  21. Cloud-based mobile data storage backup system,TP309.3

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile