Dissertation > Excellent graduate degree dissertation topics show

The Research of Web Image Retrieval Based on Object

Author: ShiLin
Tutor: MengXiangZeng
School: Shandong Normal University
Course: Educational Technology
Keywords: Image Retrieval Object recognition Image analysis Knowledge base Educational resources
CLC: TP391.3
Type: Master's thesis
Year: 2005
Downloads: 184
Quote: 0
Read: Download Dissertation

Abstract


With the rapid development of network technology and multimedia technology, digital image resources on the network is increasingly rich. However, it is often difficult to find the images they need this image resources. Image retrieval can help people to overcome this difficulty. Therefore, in recent years, network image retrieval has become one of the focus of the multimedia information retrieval. Image retrieval technologies can be divided into text-based image retrieval and content-based image retrieval. In the content-based image retrieval, the object in the image is often people interested in retrieving content. Contains an image of what the main object, humans can easily identify, but a flood of Web images all artificial object recognition, labeling and storage for retrieval, the workload is huge, almost impossible. This article is based on image object recognition process, image object visual features Knowledge Base the visual characteristics Knowledge Base extracted by the visual characteristics of the computer image object recognition, and image objects, identify image objects and for object-based image retrieval. The study included the process of image recognition and object-based image retrieval algorithm. Wherein the image recognition process includes three main areas - image analysis, knowledge base construction, object recognition. Image analysis, including image segmentation, visual feature extraction, object name of a Web page and its visual feature words extracted. In this paper, edge segmentation and clustering segmentation method combining image segmentation, and achieved good segmentation results. The color characteristics of the the histogram extraction of image objects; texture features using wavelet transform to extract image objects, invariant moments extracted image object shape characteristics, and BP neural network to identify the texture and shape features; Chinese natural language processing image object names and visual characteristics of the technology to extract image where the Web page descriptor. Knowledge of the visual characteristics of the image object construction is the basis of the object identification. In this paper, a description of the \The focus of this study is the image object recognition, and extract visual features of a region by calculating the image and knowledge base in the similarity of each object's visual features to determine the corresponding object name in this area. We believe that the image where the Web page that contains the object name may refer to objects in the image, therefore, may be included in the article only image object similarity calculation, in order to improve recognition speed and recognition accuracy.

Related Dissertations

  1. Image Analysis System of Metal Transfer of Gas Metal Arc Welding,TG444
  2. Research on Facial Feature Extraction and Matching Algorithms for Image Retrieval,TP391.41
  3. The Research and Implemention of Image Retrieval Based on User Interested Feature,TP391.41
  4. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  5. Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41
  6. The Discovery of User Concept Region Based on Multiple Instance Learning,TP391.41
  7. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  8. Aerial Target Anti-interference Recognition and Tracking System,TN215
  9. Study on the Ways of Opening Educational Resources Construction in Research University,G647
  10. The Next Generation Sequencing Data Processing,TP391.41
  11. Original Musical "Box Man" Analysis of the Characters in the Xing Lili and Shaping,J822
  12. Image Retrieval Based on Color and Shape,TP391.41
  13. Research on Methods for Texture Feature-based Retrieval of Remote Sensing Image,TP751
  14. The Analysis and Identification Method of Objective Dynamic Characteristics Based on Image Understanding,TP391.41
  15. The Study on Sharing System of Regional Digitized Education Resources,G434
  16. The Introspection of Shortage of Art Teachers in Rural Areas in Xijiang,G658.2
  17. Research on Algorithms to Reassign Labels to Regions,TP391.41
  18. Sichuan Vocational and Technical College Archival Information Management System Design and Implementation,TP311.52
  19. Content-based image retrieval technology research,TP391.41
  20. Multi- mode image retrieval method,TP391.41
  21. Semi-supervised hashing algorithm based Image Retrieval Methods,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
© 2012 www.DissertationTopic.Net  Mobile