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This paper presents a method to classify food images by updating the model of Bayesian network incrementally. We have been investigating a “food log” system which makes use of image analysis, and it can automatically detect food images and estimate the food balance (using a simple nutrition model). It also enables users to easily modify the results of the analysis when they contain errors. So far,...
Due to the wide viewer-ship and high commercial potentials, recently, sports video analysis attracts extensive research efforts. One of the main tasks in sports video analysis is to identify sports genres i.e. sports video categorization. Most of the existing work focus on mapping content-based features to sports genres by using supervised learning methods. Moreover, video data sets seeks efficient...
As traditional Chinese painting (TCP) occupies an important place in the life of modern Chinese, there are a lot of TCP images digitalized and exhibited on the Internet. However, effective identification and classification in them are an imperative problem need to be addressed. The paper proposes a content-based identification and classification scheme that represents the visual content of TCP images...
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