Review on video association mining
Author(s):
RAJAPEER M , UBDT COLLEGE OF ENGINEERING DAVANAGERE
Keywords:
Association mining, Frequent patterns, Pattern mining, Video mining, Video Association Mining (VAM)
Abstract:
Recently, many video mining approaches have been proposed which can be roughly classified into five categories. They are: video pattern mining, video clustering and classification, video association mining, video content structure mining, and video motion mining. In this paper I’m addressing the video association mining approach. This approach is relatively new and emerging research trend. It consists of two key phases are (i) Video Pre-processing and (ii) Frequent Temporal Pattern mining. The first phase converts the original input video to a sequence format. The second phase concerns the generation of frequent patterns. I have done survey on the previous papers that are discovering associations in a given video.
Other Details:
| Manuscript Id | : | IJSTEV1I10054
|
| Published in | : | Volume : 1, Issue : 10
|
| Publication Date | : | 01/05/2015
|
| Page(s) | : | 146-148
|
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