Earticle

초록

영어

Aimed to the difficult problem of detection information of video advertising from the massive video data, the novelty detection method of the video advertising based on the least squares support vector machine (LS-SVM) algorithm is introduced after analyzing and studying the feature of video advertising. The detection of the abrupt change shot and the gradual change shot in video data is realized by using color histogram algorithm, and the classification of the shot is achieved by using the particle swarm optimization and least squares support vector machine algorithm. The experiments show that the method based on the color histogram algorithm and LS-SVM algorithm has better Precision and recall, and can realize the accuracy detection of the video advertising.

목차

Abstract
 1. Introduction
 2. The Character of Video Advertising
 3. Video Advertising Shot Detection Method [1, 3]
 4. The Video Advertising Shot Detection Based on the LS-SVM Algorithm
 5. The Experiment
 6. Conclusion
 References

키워드

저자

• Xiao-ling Lan [ The Art College, Lu Dong University, Yantai, China, 264025 ]
• Shutuan Zhang [ Department of Control Engineering, NAAU, Yantai, China, 264001 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605