A Semantic-based Video Retrieval System using Method of Automatic Annotation Update and Multi-Partition Color Histogram 


Vol. 29,  No. 8, pp. 1133-1141, Aug.  2004


PDF
  Abstract

In order to process video data effectively, it is required that the content information of video data is loaded in database semantic-based retrieval method can be available for various query of users In this paper, we propose semantic-based video retrieval system which support semantic retrieval of various query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method that propose From experiment , the designed and implemented system showed high precision ratio in performance assessment more than 90 percents.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. Lee and M. Jun, "A Semantic-based Video Retrieval System using Method of Automatic Annotation Update and Multi-Partition Color Histogram," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 8, pp. 1133-1141, 2004. DOI: .

[ACM Style]

Kwang-hyoung Lee and Moon-seog Jun. 2004. A Semantic-based Video Retrieval System using Method of Automatic Annotation Update and Multi-Partition Color Histogram. The Journal of Korean Institute of Communications and Information Sciences, 29, 8, (2004), 1133-1141. DOI: .

[KICS Style]

Kwang-hyoung Lee and Moon-seog Jun, "A Semantic-based Video Retrieval System using Method of Automatic Annotation Update and Multi-Partition Color Histogram," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 8, pp. 1133-1141, 8. 2004.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880