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Multiresolution image fusion is an emerging area of research for use in military and commercial applications. While many methods for image fusion have been developed, improvements can still be made. I...
Human activity analysis is an important and challenging task in video content analysis and understanding. In this paper, we focus on the activity of small human group, which involves countable persons...
With the rapid development of the World Wide Web, there are a huge number of fully or fragmentally duplicated pages in the Internet. Return of these near duplicated results to the users greatly affect...
In this paper, we propose a novel affective video classification method based on facial expression recognition by learning the spatio-temporal feature fusion of actors’ and viewers’ facial expressions...
This paper presents an integrated face image fusion framework, which combines a hierarchical compositionalparadigm with seamless image-editing techniques, for gender conversion. In our framework a hig...
We describe an approach to2D-to-3D video conversion for he stereoscopic display. Targeting the problem ofsynthesizing the frames of a virtual „right view‟ from the original monocular 2D v...
Motivated by theoretical analysis of the curve fitting problem based on equivalent kernel, in this paper we propose a local adaptive learning and fusion model for side information interpolation in dis...
In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP), whic...
Texts in images and videos usually carry important information for visual content understanding and retrieval. Two main restrictions exist in the state-of-the-art text detection algorithms: weak contr...
The coding efficiency of Wyner-Ziv frames relies considerably on the quality of side information and the capability to model the statistical dependency between the original frame and side information....

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