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A robust and high quality image watermarking method has high demand for protection of copyrighted multimedia data over internet. The existing image watermarking methods generally exploit the correlated color models due to which only one color component at a time can be used for embedding the watermark. Therefore, in this paper, a novel steerable pyramid transform (SPT) based digital image watermarking...
In this paper, we demonstrate an effective method for automatic extracting clothing object from fashion photographs, an extremely challenging problem due to the non-uniform natural backgrounds, various types of apparel and different poses of human models. This method consists of three phases: (1) coarse clothing area localization by pose estimation and super pixel segmentation, (2) region-level image...
With growing popularity of online services, the amount of information on web increases dramatically, which has resulted in increasingly concerns on web application security. Subject knowledge is in desperate need to guide security testing against advanced attacks. Unlike common software security weakness study pattern, a combination analysis method based on Colored Petri Net is presented in this paper...
Graph classification has traditionally focused on graphs generated from a single feature view. In many applications, it is common to have useful information from different channels/views to describe objects, which naturally results in a new representation with multiple graphs generated from different feature views being used to describe one object. In this paper, we formulate a new Multi-Graph-View...
Saliency detection is an important task to detect humans' visual attention region, plenty of methods are proposed to solve it. Most of them use single level pixels or patches to reveal the structure of the given image. However, the complexity of background regions and the unevenness of foreground objects still challenge these methods. To distinguish the saliency object from the complex background...
Tinnitus is the most common medical symptom that can be debilitating. Chinese herbal medicines (CHMs) play important roles in tinnitus treatment. This study analyzed the most frequently prescribed herbs used to treat tinnitus and the molecular mechanisms of therapeutic effects of these CHMs by text mining and bioinformatics technique. Results showed that pinellia ternate (Banxia) and gastrodin (Tianma)...
Pseudo-color images are widely used on World-Wide-Web (WWW) to reduce file storage, RAM, video memory buffer space, and to speed up data transfers. A pseudo-color image consists of indices and indices are stored in a file with raster scan order. The investigations on different scanning patterns in filing of indices showed that further improvements on compression are possible. In this paper, we propose...
This paper presents a novel method for registering multi-modal images, based on corners. The proposed method is motivated by the fact that large content differences are likely to occur in multi-modal images. Unlike traditional multi-modal image registration methods that utilize intensities or gradients for feature representation, we propose to use curvatures of corners. Moreover, a novel local descriptor...
We can easily get the Tweets from the Twitter and open data about population etc. Therefore we are constructing a system to extract disaster information and analyze Tweet in Twitter by using API (Application Programming Interface), Web service changing geographical information and R etc. If we want to know where is occurring an earthquake, a flood and etc, we could want to get those information which...
File format used for images in embedded devices is mostly determined by limited available resources and performances. This paper proposes a new file format named ERLE which is adapted for usage in embedded devices. The format is presented by explaining the benefits of using this file format on embedded devices and drawbacks of using the standard image formats for image processing on small footprint...
An improved classification method based on KMeans using HSV color feature is introduced in this paper. It is implemented by extracting three color features (hue, saturation, value) for K-Means clustering. Compared with the traditional K-Means clustering, the experimental results turn out that our proposed method is better than K-Means in classification accuracy and performance.
Playing a vital role, saliency has been widely applied for various image analysis tasks, such as content-aware image retargeting, image retrieval and object detection. It is generally accepted that saliency detection can benefit from the integration of multiple visual features. However, most of the existing literatures fuse multiple features at saliency map level without considering cross-feature...
A novel image retrieval method using color-spatial histograms is presented in this paper. The new method contains three phases. First, we quantize the color space by Gaussian mixture model. Second, the color-spatial histograms generated for both the query image and the images in the database based on the quantized color components and the improved spatiogram method. Finally, using color-spatial histogram...
Rare colored capsule (RCC) is the capsule which is mixed in the normal product but with different color. To detect this kind of capsules online, a method based on RGB color space and using HSV color difference formula is proposed in this paper. Considering HSV color space with more balanced color-difference perception, the original RGB formatted capsule image is transformed to HSV color space for...
We give an algorithmic local lemma by establishing a sufficient condition for the uniform random walk on a directed graph to reach a sink quickly. Our work is inspired by Moser's entropic method proof of the Lovasz Local Lemma (LLL) for satisfiability and completely bypasses the Probabilistic Method formulation of the LLL. In particular, our method works when the underlying state space is entirely...
This paper presents a non-photorealistic rendering algorithm for Pointillism style. At first, ellipse dots are adopted as rendering elements and their locations are randomly distributed on a target image. Then dots orientations are pre-calculated with guidance of a direction map. A saliency map of the source image decides long and short radius of the ellipse dot. At last, the dots render the canvas...
In this paper, we present a new approach to discriminate dynamic color textures in sequences of images containing moving objects. The moving textures are analyzed by use of Haralick features extracted from color spatio-temporal co-occurrence matrices which characterize the textures themselves as well as their movements. Features with the highest discriminating power are selected according to a supervised...
Modern video surveillance systems need to acquire clear video images of the interest targets in wide range scene, which usually have some difficulties only by changing the cameras focal length when the targets distance and constantly move. In order to obtain details of the features of long distance moving targets in wide range of monitoring scene, we use a panoramic camera and Intelligent Speed Dome...
The underrepresentation of women faculty in science, technology, engineering and mathematics (STEM) has been studied for several decades. Many programs have been developed with a bottom-up approach toward addressing this underrepresentation. While these bottom-up approaches are an important component in addressing the underrepresentation, the question arises as to their sufficiency for transforming...
We are developing a helper robot able to fetch objects requested by users. This robot tries to recognize objects through verbal interaction with the user concerning the objects that it cannot detect autonomously. We have shown that the system can recognize objects based on an ontology for interaction. In this paper, we extend a human description ontology to link a "human description" to...
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