Abstract: Abstract: Recently, mobile phone has a growing prospect in rural areas. According to relevant survey, the rate of visual acceptance is 83%, while the hearing acceptance is 13%, far below the visual. Video communication is more and more efficiency. Therefore, it can provide an efficiency knowledge obtained way, and it would provide knowledge for formers by phone in video form. Video call center technology is similar with voice call center, but it increases video playback function. It can play the required video clips, according to user needs. The videos can through mobile phone push to the user. The development of 3G and the upcoming 4G technology lay a good hardware foundation for video call center. Although video phone has not been fully universal at present, but video phone will be like now of voice calls, the rapid popularization in the near future. This will also be extended to video call center lay a good user base.At present, the most important of the video call center promote agricultural knowledge is a ring video sources. The technology research institution has recorded a lot of agricultural knowledge video. These videos which knowledge and professional is very strong, and has very high value of popularization, mostly recorded by a professionals. But the videos were originally a lecture class for TV, Internet or popular science lecture video recording. The playing time, video format, storage capacity is not suitable for the requirements of mobile phone. Because it must be divided the big video into complete knowledge content small video clips, the existing video segmentation methods, mostly artificial participation. Artificial video browsing through fast and rewind down let video segmentation come true. Then manually on the lens annotation, retrieval of this way is not only time-consuming, but also difficult to meet the large agricultural knowledge requirements of video segmentation. In order to solve this problem, a segmentation method based on video call center has designed a kind of agricultural knowledge video in this paper. It can divide the agricultural knowledge into a small complete knowledge unit, and with the help of the video call center sent to the farmers. This article studies the video shot segmentation method which based on HSV color space, and achieves video shot segmentation by comparing the color histogram of camera shot. Combine with the feature "audio-based, supplemented by video" of agriculture class lectures, it researches the audio lens' segmentation in videos, and completes the Clustering for video camera. And then by extracting the video semantic unit, achieving segmentation for video, we can solve the problem that existing shot clustering method doesn't apply for the video for agriculture lectures.