Rough Sets Based Video Mining Preprocessing Algorithm in Compressed Domain

A critical and fundamental task in video mining is data preprocessing, in this paper, aimed to overcome limitations of redundant data for video mining, the paper propose a video mining preprocessing algorithm based on Rough Sets. Firstly, the representative data of video sequences is extracted in co...

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Bibliographic Details
Main Authors: Li Xiang-wei, Zhang Ming-xin, Zhu Ya-ling, Li Xing-du, Ma Ting-bing
Format: Conference Proceeding
Language:English
Subjects:
compressed domain
Data mining
Data preprocessing
Educational institutions
Information systems
Intelligent systems
Internet
Mathematics
Probability
Rough sets
Video compression
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Summary:A critical and fundamental task in video mining is data preprocessing, in this paper, aimed to overcome limitations of redundant data for video mining, the paper propose a video mining preprocessing algorithm based on Rough Sets. Firstly, the representative data of video sequences is extracted in compressed domain. Secondly, the Information System Table is constructed by extracted representative data. Finally, the Core of Information System Table is achieved by making use of the attributes reduction theory of RS. As our experimental results indicate, the algorithm can get effective and scientific data to complete video mining such as key frame extraction and shot segmentation and other operations. Compared to existing techniques, our proposed algorithm enjoys following advantages. (1) only a subset of frames need to be considered during video mining. (2) The limitations of requirements for a huge amount of memory and CPU resource are overcome.
ISSN:2155-6083
2155-6091
DOI:10.1109/GCIS.2009.150