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Recently, the three dimensional (3-D) video technology has drawn significant attention among industry and academic researchers. As a special data format in 3-D video, the depth map consists of gray levels, which are nearly the same within an object but change abruptly across the boundaries. In view of the similarity of the gray levels in the most regions, down-sampling can be employed as the pre-processing...
In this paper, we propose a novel depth map coding scheme based on adaptive block compressive sensing. Different from the traditional two-dimensional image compression, edge information is more significant for the reconstruction of a depth map. Therefore, in view of the object boundaries characteristics of a depth map, we first divide the whole depth image into blocks with different sizes. Then according...
With the continuous development of multimedia technology, images in the real word and the Internet become more widespread, which brings unprecedented convenience to people's communication. However, the behavior of image tampering will brings disastrous consequences. Images could be forged using different techniques, and the most common forgery is copy-move forgery, in which a part of an image is duplicated...
The neighborhood structure can significantly impact the effectiveness of image search, and fulfilling the reversibility of neighborhood may improve the image search quality. This paper proposes an effective and efficient scheme for reconstructing the symmetry relationship of k-nearest neighborhood (KNN). In particular, we design a verifying function to learn the prior knowledge of neighborhood reversibility...
The visual vocabulary, which is the key component of Bag-of-Words(BoW) model, plays an important role for representing visual content in both effectiveness and efficiency. Although various construction methods have been proposed in previous work, less effects have been paid on discovering the key factors that impacts the performance of visual vocabulary, especially in the case of building large scale...
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