In recent years, clustering techniques have become a useful tool in exploring data structures and have been employed in a broad range of applications. In this paper we derive a novel image clustering approach based on...
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Considering that the binary images are featured little capability in data hiding, difficulty in watermarking embedding and two values, in order to improve the robustness and invisibility of watermarkings embedded into...
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In this paper, we present a new approach to recovering the surface of a 3D object from multiple calibrated images. the method is based on a variational formulation which defines an energy functional where both silhoue...
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In this paper, we focus on the problem of how to visualize and browse 3D videos and 3D images in a media browser application, running on a 3D-enabled mobile device with an autostereoscopic display. We propose a 3D thu...
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this paper presents how cross-media correlation facilitates summarization of photos and videos captured in journeys. Correlation between photos and videos comes from similar content captured in the same temporal order...
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this paper studies an image inpainting solution based on a primal sketch representation model [1], which divides an image into structure (sketchable) and texture (non-sketchable) components. this solution first predic...
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this paper presents a novel system to automatically generate visual explanation by exploiting the visual information in Wikimedia Commons and the automatic image labeling techniques. Sample images and the sub object b...
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In this paper, we propose a discriminative image hashing scheme based on Region of Interest (ROI) in order to increase the discriminative capability under image content modifications, while the robustness to content p...
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In this paper we focus on a novel issue in the field of video retrieval stemming from film analysis, namely the investigation of film montage patterns. For this purpose it is first necessary to reconstruct the origina...
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We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. the approach allows for the segmentation of meaningful motion components in a scene, such a...
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