Journal of Food, Agriculture and Environment

Agricultural disease-control scene determination based on audio-visual fusion

Author(s):

Haojie Wen, Lingxian Zhang, Zetian Fu *, Xinxing Li, Ye Su

Recieved Date: 2012-07-11, Accepted Date: 2012-09-30

Abstract:

Based on the features of agricultural disease-control video, we determined a correlation between audio and video to segment agricultural diseasecontrol videos. In addition, we constructed a scene semantic model of agricultural disease control and designed a scene-detection method for agricultural disease-control videos. The experimental results showed that scenes of agricultural disease-control videos segmented by existing scenedetection algorithm on semantic unit were incomplete and unavailable. The method employed in this paper overcame the aforementioned defects, thus improving the accuracy of agricultural disease-control video retrieval while simultaneously providing solution to the conflict between video qualities and the costs of the flow of agriculture information service in China’s mobile network.

Keywords:

Agricultural disease, scene detection, audio–visual fusion

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Journal: Journal of Food, Agriculture and Environment
Year: 2012
Volume: 10
Issue: 3&4
Category: Agriculture
Pages: 867-870

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