Dissertation > Excellent graduate degree dissertation topics show

Image Object Retrieval Based on Content and Semantic Information

Author: RaoFeng
Tutor: SuFei
School: Beijing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Image semantic concept Image low-level features Support Vector Machine Item Image Retrieval
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 42
Quote: 1
Read: Download Dissertation

Abstract


Along with the development of network and e-commerce , people are no longer satisfied merely through text descriptions to retrieve items , but also hope to become hot items based on content and semantic image retrieval through the image to retrieve items . For baggage retrieval topics studied image low-level features extracted frame structure of the high-level semantics establishment and image retrieval application system , the retrieval algorithm and system framework to establish the research , the following major elements : low-level features in the image extraction in this paper a comprehensive analysis of the characteristics of the image object 's color , texture , shape , and key points in the image retrieval , select improvement HSV space block color histogram and SIFT key points as the underlying characteristics of the image matching , and SIFT key points the projection dimensionality reduction phase cascade retrieve images and other features ; experimental results demonstrate the effectiveness and robustness of the algorithm . Image high-level semantic establish the attributes and characteristics of items related to the definition of the semantic concept set , extract the color feature , Gabor feature edge gradient histograms , and contour features articles semantic concept characterization ; to use the support vector institutions built semantic classifier ; the handling mechanism results priori probability model updating Classifiable ; experimental results show that the accuracy of the semantic retrieval methods . Luggage image retrieval based on semantic image retrieval and content-based image retrieval combined , thus improving the image retrieval speed and accuracy . The system test retrieval accuracy rate of 90.3% , the average retrieval time of 2 seconds per image ; experimental results show the effectiveness of the proposed retrieval algorithm .

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. Research on Autamatic Music Structrue Analysis,TN912.3
  3. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  4. Fault Diagnosis Method Based on Support Vector Machine,TP18
  5. Process Support Vector Machine and Its Application to Satellite Thermal Equilibrium Temperature Prediction,TP183
  6. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  7. Study on the Road Condition Monitoring Based on Vehicular 3D Acceleration Sensor,TP274
  8. Research of Diagnosing Cucumber Diseases Based on Hyperspectral Imaging,S436.421
  9. The Research on Intrusion Detection System Based on Machine Learning,TP393.08
  10. Research on Improved K Neighbor Support Vector Machine Algorithm Faced Text Classification,TP391.1
  11. Research on Face Recognition Based on AdaBoost Algorithm,TP391.41
  12. Research on Feature Extraction, Selection and Classification Algorithms for Pulmonary CAD,TP391.41
  13. Research on Subimage Selection and Mathching Method for Synthetic Aperture Radar(SAR) Target Recognition,TN957.52
  14. Research of Facial Expression Recognition Algorithm,TP391.41
  15. Fundus Image Segmentation Based on SVM and Template Matching,TP391.41
  16. Research and Realization of License Plate Character Recognition Algorithm Based on SVM,TP391.41
  17. Cloud Classification Based on Geostationary Meteorological Satellite Imagery,TP391.41
  18. The Studies on Some Improvements of the GA and Their Applications in SVM,TP18
  19. The Research and Implementation of the Fault Management System for Triple Play,TP315
  20. Modulation Classification Algorithms of Digital Communication Signals,TN914.3
  21. Computer virus detection method,TP309.5

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