Title :
A Novel Algorithm for Video Retrieval Using Video Metadata Information
Author :
Wei, Xiaoli ; Shen, Weiming ; Jiang, Shuangshuang
Author_Institution :
LIESMARS, Wuhan Univ., Wuhan
Abstract :
This paper proposed a video metadata information based method for video retrieval. Extracting key frames and forming video abstract first, and then segmenting the key frames into two parts-background and theme, calculating their gray-scale distribution and probability density, and then making up video metadata, and finally retrieving information through structuring video metadata. Experiment shows that this retrieval algorithm is efficient that people can search the information they want exactly and speedily through this method.
Keywords :
video retrieval; gray-scale distribution; key frame; probability density; video abstract; video metadata information; video retrieval; Content based retrieval; Data mining; Entropy; Gray-scale; Image retrieval; Information retrieval; Mutual information; Pixel; Probability; Random variables; Metadata; key frame; mutual information; video retrieval;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.506