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Visual analytics applications are becoming ubiquitous and embedded in various systems that we interact with daily. Limited power budgets and the need for high performance for cognitive visual analytics have led to a three-pronged approach of integrating advances in algorithms, architectures and technology towards designing next generation vision accelerators. Vision applications benefit from increasing...
A novel shape similarity measure based on membership function is proposed in this work to make the measure more consistent with human perception and improve the matching accuracy. The proposed method commences with extraction of feature vectors of shapes in training shape set, then a fuzzy set over each eigenvalue space is defined. The membership function of the fuzzy set is defined and acts as a...
An example-based floral pattern generation approach is proposed in this paper to improve the aesthetic design ability of computer, which will enable user's simple draft to be converted to an aesthetic pattern with a few interactions. The proposed approach commences with introducing artists work into the system by example patterns they drew. User's draft is segmented into elements, shape features of...
The feature matching is the first step of several computer vision duties. In this paper we provide a new feature detect and matching approach based on statistics of the gradients of the feature region. It is extension of the sift algorithm. The algorithm represented in this paper can be used to perform reliable matching to image sequence, which have larger change in 3D viewpoint and change in illumination...
This paper proposed a fuzzy logic based approach to label speech segments from media files for content production in e-Learning systems. A fuzzy inference system (FIS) was introduced to fuzzify the extracted features extracted from different dimensions. apply predefined rules, and generate an output that represents the degree a clip belonging to speech. We show that our methodology improves the accuracy...
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