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Reconstructing a full-resolution stereoscopic video from an asymmetric stereoscopic video is a challenging task. The existing approaches require depth information, which imposes an additional challenge in data acquisition. In this paper, we propose a novel scheme that is capable of obtaining super-resolution and depth estimation simultaneously from an asymmetric stereoscopic video. The proposed scheme...
It is cost-prohibitive to find matches Q(G) of a pattern query Q in a big graph G. We approach this by fetching a small subgraph GQ of G such that Q(GQ) = Q(G). We show that many practical patterns are effectively bounded under access constraints A commonly found in real life, such that GQ can be identified in time determined by Q and A only, independent of the size |G| of G. This holds no matter...
Assessment of flood risk is important to flood disaster forewarning and decision management. However, there are many uncertainty factors that influence flood risk assessment. In order to solve this problem, this paper proposes an information fusion method based on DS-AHP (Dempster-Shafer and Analytic Hierarchy Process) to deal with uncertainty information, and fuzzy set theory and GIS methods are...
Recently, cyber foraging has been proposed to reduce the application response time and to save energy for the mobile hosts by offloading the resource-demanding tasks to the surrogates via wireless networks. However, communication overheads are further aggravated in the cyber foraging network (CFN), where multi-hosts share the same spectrum to offload tasks. Therefore, it is important for the CFN to...
In this paper, we study the problem of large scale image retrieval by developing a new class of bag-of-features to encode geometric information of objects within an image. Beyond existing orderless bag-of-features, local features of an image are first projected to different directions or points to generate a series of ordered bag-of-features, based on which different families of spatial bag-of-features...
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