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Saliency analysis is an effective method to extract interesting target regions from satellite images. However, when the satellite image contains salient background information, it is difficult to eliminate this information accurately only using single image saliency analysis. In this paper, a novel multiimage saliency analysis (MSA) model based on multiple multispectral images clustering saliency...
The region of interests (ROI) detection plays an important role in the remote sensing data processing and analysis. In this paper, a new region of interest detection method based on salient feature clustering for remote sensing images is proposed. Four steps are included in the proposed method. First, the information salient feature maps are constructed by computing the spectrum information and histograms...
Real-time, accurate and robust target tracking on mobile devices is an important problem which can facilitate applications such as augmented reality. However, it is still unsolved, partly due to the mobile's computing limitations. Compressive tracker performs favorably against state-of-the-art algorithms in terms of efficiency, accuracy and robustness, but as limited by the speed of feature matching,...
As we increasingly rely on computers to process and manage our personal data, safeguarding sensitive information from malicious hackers is a fast growing concern. Among many forms of information leakage, covert timing channels operate by establishing an illegitimate communication channel between two processes and through transmitting information via timing modulation, thereby violating the underlying...
We introduce a Compact Topical Descriptor to learn a compact yet discriminative image signature from the reference image corpus. This descriptor is deployed over the well used bag-of-words image histogram, with two merits over the traditional topical features: First, we propose to directly control the topical sparsity to achieve the descriptor compactness. Second, we ensure the descriptor discriminability...
Dynamic texture (DT) is an extension of texture to the temporal domain. How to improve the performance and efficiency of DT segmentation is still a challenging problem. In this paper, we improve the performance of a recently published DT segmentation method. We compute the histogram of the spatiotemporal local texture descriptor in one volume and employ the segmentation results of previous frame for...
We propose a novel locality sensitive vocabulary coding scheme to extract compact descriptors for low bit rate visual search. We employ Latent Dirichlet Allocation (LDA) to learn the topic vocabularies of lower dimension to generate compact descriptors. To deal with diverse datasets, LDA model is introduced to subdivide a dataset into groups of images with a topic model, where the code word distributions...
Automatic categorization of human actions in the real world is very challenging due to the great intra-class differences. In this paper, we present a new method for robust recognition of human actions. We first cluster each video in the training set into temporal semantic segments by a dense descriptor. Each segment in the training set is represented by a concatenated histogram of sparse and dense...
When codeword frequency meets geographical location in landmark search applications, is it still discriminative for the search procedure. In this paper, we give a systematic investigation about how geographical location affects the effectiveness of codeword frequency. We explain why the standard IDF in the BoW models is less effective in location related search applications [11][12]. Consequently,...
The effects of Faraday rotation (FR) on longer wavelength (i.e. L or P-Band) spaceborne linearly full-polarized inferfermetry synthetic aperture radar (Pol-InSAR) processing are addressed. A model for linearly full-polarimetric InSAR data subject to Faraday rotation is investigated. Due to Faraday rotation, the received signal in each channel will be contaminated by backscattering signals from other...
Color image retrieval and classification are very important in the field of image processing. In this paper, we propose a method which is in token of color characteristic of one image using hue and thereby is used to calculate similarity between two pictures. We also take F-Stat. Measure to find the best threshold so that we can realize fuzzy partition, and finally fuzzy c-means algorithm is used...
Dynamic textures are image sequences with visual pattern repetition in time and space, such as smoke, flames, moving objects and so on. Dynamic texture synthesis is to provide a continuous and infinitely varying stream of images by doing operations on dynamic textures. Considering that the previous video texture method provides high-quality visual results, but its representation does not well explore...
Dynamic texture (DT) is an extension of texture to the temporal domain. How to segment DTs is a challenging problem. In this paper, we propose significant improvements to a recently published DT segmentation method. We employ a new spatiotemporal local texture descriptor which combines local binary patterns with a differential excitation measure. We also address the important problem of threshold...
Dynamic texture (DT) is an extension of texture to the temporal domain. In this paper, we address the problem of segmenting DT into disjoint regions in an unsupervised way. Each region is characterized by histograms of local binary patterns and contrast in a spatiotemporal mode. It combines the motion and appearance of DT together. Experimental results show that our method is effective in segmenting...
Inspired by Weberpsilas law, this paper proposes a simple, yet very powerful and robust local descriptor, Weber local descriptor (WLD). It is based on the fact that human perception of a pattern depends on not only the change of a stimulus (such as sound, lighting, et al.) but also the original intensity of the stimulus. Specifically, WLD consists of two components: its differential excitation and...
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