Dissertation > Excellent graduate degree dissertation topics show

Applications on Content-based Volleyball Video Retrieval Technology

Author: HuHongLei
Tutor: YuMing
School: Hebei University of Technology
Course: Control Science and Engineering
Keywords: video retrieval shot detection gradual detection adaptive dual-threshold Canny operator
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 26
Quote: 0
Read: Download Dissertation

Abstract


Content-based video retrieval has been very widely used, which plays an important role in the rapid development of multimedia technology. It also takes effective management and retrieval for large quantities of multimedia data, especially for the increasing number of sports video, this has already became hot in the field of multimedia.Firstly, based on analyzing the related technologies of the original video retrieval, we propose an algorithm of adaptive dual-threshold shot boundary detection for the game video of TV. At the beginning, we convert each frame to the HSV space, set high and low ratio of threshold according to the frame difference. Then, the average value of frame difference in the sliding window is calculated to receive the dual-threshold. Finally, the shot and the gradual are detected by comparing the frame difference and threshold.Secondly, this paper classifies the state of the self-recorded game video, detects the bottom line by Canny operator and separates the zones of service and offensive, detects movements in the corresponding regions. Then, according to the characteristics of difference states of the game, the game station is judged and the video is split.Thirdly, this paper also proposes an algorithm of key frame extraction. For television video, the distance between the candidate frames was calculated by the trends in content changes, and one to three frames are extracted as key frames. For self-recorded game video clips, a key frame is chose by the states classification.This paper designed the system to achieve the above algorithms. Through the experiments of multiple videos, it comes to an expected result, verifies the algorithm’s feasibility and robustness.

Related Dissertations

  1. The Research on Sub-Pixel Edge Detection Method in Work Piece Image,TP391.41
  2. 3D Reconstruction in GHeritage Fix Based on Bimirror Reflection,TP391.41
  3. Shenyang TV video clip editing system software design and implementation,TP311.52
  4. Feature-based Video Retrieval in Compressed Domain,TP391.41
  5. Vision Position and Control of Plane Work Piece Based on Adept Robot,TP391.41
  6. Shadow Removal Adaptive Edge Detection Based on Canny Theory,TP391.41
  7. Edge-based image interpolation algorithm and its application,TP391.41
  8. Based on Images Outline of Ink-rendering Technology Research,TP391.41
  9. Research on Shoeprints Matching Algorithm on the Scene Based on Shape Context,TP391.41
  10. Research of Image Retrieval Based on Color and Shape,TP391.41
  11. Measurement and Analysis of Concrete Bridge Crack Based on Image Processing Techniques,TP391.41
  12. Research on Range Anomalies Suppression and Target Edge Detection for Lidar,TN958.98
  13. The Design and Implemention on Insect’s Wing Image Classfication Algorithm,TP391.41
  14. Research on Road and Vehicle Detection Algorithm Based on Machine Vision,TP391.41
  15. Interactive segmentation method for medical image sequences,TP391.41
  16. The Research on Processing Technology for Fundus Image,TP391.41
  17. Image Edge Detection and Application,TP391.41
  18. Based on improved canny edge detection algorithm research,TP391.41
  19. Research on License Plate Location and Character Segmentation Based on Gray Image,TP391.41
  20. Adaptive Edge Detection Method Based on Canny,TP391.41
  21. Fuzzy identification of palmprint,TP391.41

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