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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...
Aiming at the real-time video stabilization under the potential panning motion, this paper presents a robust adaptive video stabilization algorithm based on an improved diamond search and a modified Kalman filter. On the one hand, by introducing Hooke Jeeves algorithm into the traditional diamond-search-based fast block matching method, the efficiency of motion estimation is improved. On the other...
This paper presents a novel two-step approach for underdetermined blind source separation in the time-frequency domain. First, the single-source-points (SSPs), each of that is occupied by a single source, are detected through identifying the Time-Frequency (TF) points of observations using the complex value phase; the mixing matrix is then estimated accurately by employing K-means method among those...
Aiming at the binary source separation problems with a single sensor, this paper presents a novel binary blind source separation algorithm for single sensor with low time consumption. The proposed effective method could extract each original source via a layer-by-layer separation strategy in time domain. In each layer, certain active sources are extracted and mask vectors are introduced to boost the...
A new approach for one source signal extraction based on metrics transform is proposed and investigated in this paper. First, the mixing matrix is estimated by employing the K-means algorithm on single-source-points with higher energies. Then, the time-frequency points that incorporate one source, which can be used to approximately denote the source signals that include main information of them, are...
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