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To Improve the robust performance of visual tracking in various kind of scene, a novel method by harmony search and co-inference learning based on multi-cues was proposed. The candidate state was achieved by the harmony search and co-inference learning. Then the harmony memory vector corresponded the biggest fitness function was chosen as the state vector. Compared with the harmony search visual tracking...
We propose a new approach for constructing mid-level visual features for image classification. We represent an image using the outputs of a collection of binary classifiers. These binary classifiers are trained to differentiate pairs of object classes in an object hierarchy. Our feature representation implicitly captures the hierarchical structure in object classes. We show that our proposed approach...
An algorithm is presented for detecting foreground objects with multi-scale wavelet transformation and color ratio difference. Multi-scale wavelet transformation method is used to segment moving objects based on spatial property. Ratio differences between two adjacent pixels in four different directions are used to classify object pixels. RGB color space is selected to segment moving foregrounds and...
With the rapid development of multimedia technology and computer network technology, and the popularization of the Internet, digital media has gradually become the primary means of information exchange, such as images, audio, video. People can easily get a variety of digital information from the Internet. Because digital information can easily be illegally copied and manipulated, the current infringement...
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of end tasks such as image annotation and classification. Previous work has focused on using either low-level image features or textual tags to build image hierarchies, resulting in limited success in their general usage. In this...
The current fixed spectrum allocation scheme leads to low spectrum utilization across the whole spectrum. It requires some more effective spectrum allocation and utilization policy, which allows unused parts of spectrum to become available temporarily for other usage, so that the scarcity of the spectrum can be largely mitigated. Taking the cognitive user's service demand into account, we improve...
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