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In previous works of face recognition, similarity betweenfaces is measured by comparing corresponding face regions. That is to say, matching eyes with eyes and mouths withmouths etc.. In this paper, w...
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
Inspired by the stability functions of human vision system, we present a novel video stabilization method based on saliency driven SIFT matching and discriminative RANSAC. Firstly, a saliency detectio...
Content-based video copy detection over large corpus withcomplex transformations is important but challenging. It isnot surprising that most existing methods fall short of eithersufficient robustness ...
Nowadays, the issue of near-duplicate video matching has been extensively studied. However, transformation, which is one of the major causes of near-duplicates, has been little discussed. In this pape...
The aim of this paper is to develop a new approach for a solution of the continuous-time model matching problem by a static state feedback in the sense of \mathcal{H}\infty optimality criterion by usi...
LSB matching是一种广泛使用的数字图像隐写方法,但关于其隐写分析的工作目前还不多。详细讨论了最近提出的一种基于图像直方图局部极值点的关于LSB matching的隐写分析方法,指出了该方法的不足,并结合图像采样技术给出了一种新的用于LSB matching的检测子。实验表明,提出的检测子实现简单并且具有更好的检测效率。
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene categories. In this p...
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under challenging real situat...
Image matching is a fundamental task for many applications of computer vision. Today it is very popular to represent two matched images as two bags of local descriptors, and the classic RANSAC based m...
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene categories. In this p...
From visual perception viewpoint, actions in videos can capture high-level semantics for video content understanding and retrieval. However, action-level video retrieval meets great challenges, due ...
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsupe...

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