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This paper describes a new segmentation-based classification technique for fully polarimetric synthetic aperture radar (PolSAR) images. Based on the framework which conjunctively uses statistical region merging (SRM) for segmentation and support vector machine (SVM) for classification, we improve the method by jointly introducing texture features and color features. For the segmentation step, to guarantee...
For the tamper method of the same image copy-paste, a new tampering forensics scheme is proposed with the consistency of illuminant chromaticity in the three color channels, RGB, as the identification indicator of the image. The experimental results show that the detection way, which use the chromaticity consistency of different objects in the image as the features of image tampering forensics, works...
Inspired by the idea of co-training algorithm, in this paper we propose a novel semi-supervised learning algorithm, co-Gaussian Process (co-GP), under a Bayesian framework. Image data are characterized in two distinct views, i.e. two disjoint feature sets. A latent function with a GP prior is employed for each view. In learning process of co-GP, knowledge acquired in each view is transferred by probabilistic...
In this paper, we propose a novel approach that combines particle filter tracking and 3D graph cut based segmentation to achieve silhouette tracking against drastic scale change and occlusion. The segmentation module offers particle filter tracking procedure the target shape information to compensate spatial information loss in the histogram based particle filter tracking process. Meanwhile, particle...
Inspired by the idea of co-training algorithm, in this paper we propose a novel remote sensing image segmentation approach using co-training strategy under variational Bayesian (VB) framework. Image data are characterized in two distinct views, i.e. two disjoint feature sets. A Gaussian mixture model (GMM) is employed for each view. On one hand, underlying structure of image content is inferred automatically...
Image classification is an important topic in multimedia analysis, among which multi-label image classification is a very challenging task with respect to the large demand for human annotation of multi-label samples. In this paper, we propose a multi-view multi-label active learning strategy, which integrates the mechanism of active learning and multi-view learning. On one hand we explore the sample...
This paper presents a human-centered picture slideshow system for mobile users. In contrast to conventional ROIs (region-of-interest) detection based systems, we provide mobile users the freedom of personalizing ROIs in a convenient and effective way. Here, we import a simple human interaction, i.e., only a single click, to give a hint for users' ROIs. First, local saliency map (LSM) is generated,...
In this paper, a novel multi-cue collaborative kernel tracking algorithm is proposed. A new constraint based on the property of cross ratio invariant enables tracking of objects insensitive to complex motions, including scale changes, rotation and especially views changes, without labeling and training. Meanwhile, invariant moments are introduced into the kernel based tracking method as the shape...
The paper describes the design and implementation of multifunctional photograph processor based on Samsung 2440A. Discussing the function and actuality of photograph processor and the exploited environment and interrelated technique of photograph processor and the software and hardware design of system. Using the special DSP chip disposal the photograph receiving from external equipment and transfer...
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