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Human sketches are unique in being able to capture both the spatial topology of a visual object, as well as its subtle appearance details. Fine-grained sketch-based image retrieval (FG-SBIR) importantly leverages on such fine-grained characteristics of sketches to conduct instance-level retrieval of photos. Nevertheless, human sketches are often highly abstract and iconic, resulting in severe misalignments...
This paper shows that classifying shapes is a tool useful in nonphotorealistic rendering (NPR) from photographs. Our classifier inputs regions from an image segmentation hierarchy and outputs the "best” fitting simple shape such as a circle, square, or triangle. Other approaches to NPR have recognized the benefits of segmentation, but none have classified the shape of segments. By...
In this paper, an effective algorithm employing higher-order statistics (HOS) with Teager energy operator (TEO) for voice activity detection (VAD) in noisy environments is proposed. The presented VAD utilizes the kurtosis of a speech signal in the Teager energy domain and is shown to be efficient and robust in detecting speech in low signal-to-noise ratio (SNR) conditions without being adversely affected...
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