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Recently, numerous salient object detection methods are proposed for different data types. And a reliable method, which can accurately extract complete salient objects, is beneficial to various vision tasks. However, existing methods may fail in highlighting the entire salient object uniformly. In this work, we propose a simple and universal framework aiming to improve the detection result of existing...
The theoretical relationship between association rules and machine learning techniques needs to be studied in more depth. This article studies the use of clustering as a model for association rule mining. The clustering model is exploited to bound and estimate association rule support and confidence. We first study the efficient computation of the clustering model with K-means; we show the sufficient...
The Aspect ratio is the fractional relation of the width of a video image compared to its height. The paper is focused on solving the problem that how to play various kinds of videos on the device screen with different aspect ratio from them. It is the first time to introduce saliency model, which can take human attention into account, into the aspect ratio conversion. Based on the saliency model,...
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