Applied Mechanics and Materials Vols. 519-520

Abstract: With the advances in technology and the quality of life, the family of the growing number and variety of terminals, a demand that automatic networking, shared resources, interconnected and mutual control and for users of home network is growing. This paper aims to design and implement an intelligent terminal with OpenWrt system based on Linux. The terminal is a gateway which has router management control functions, and load and run the compiled modules based on OpenWrt SDK in OpenWrt routing system. The intelligent terminal has completed a preliminary functional tests can be run in real network environments. The terminal will do as a prototype for future improvements and extensions of the home gateway.

Abstract: An algorithm of wavelet digital watermarking was proposed to improve the security of the watermark. First, the logistic chaotic sequence was used to generate an encrypted image watermarking, then discrete wavelet transform (DWT) was used to decompose the original image and the watermark was embedded into the selected frequency band of significant wavelet coefficients. Finally, an approach for extraction was adopted. Experimental results show that the watermark is robust to attacks if the chaotic key is unknown.

Abstract: In recent years multi-screen integration technological become a hot topic. The practical using of television screens, computer screens and mobile phone screens fusion technology provides broad prospect and more chance that we can choose for the market At the same, the using of fusion technology provides an effective carrier for different industries. This paper introduced a workflow system which based on multi-screen integration technology. As we know, the current program authoring system in broadcasting industry could be managed on online, including the inquiry and approval of news topics. But most systems could not support program production management through mobile terminal. In this paper the system realizes the workflow scheduling model by using WCF-rest architecture design. It could truly implement mobile office for us by using work flow scheduling model and intelligent terminal and combining with the new media intelligent multi-screen integration platform.

Abstract: Existing digital television information delivery system delivers information indiscriminately and lacking direction. Information delivery accuracy is too low to reach the desired results, and can lead to other problems like such as information overload. We consequently proposed the boot-strap information delivery model based on user profiles to provide an important basis for digital TV information delivery. This paper firstly describes the background of digital television information delivery. Then details information deliverys algorithms and models based on user profiles analysis and information delivery analysis. Our research solved the problem that people cannot deliver the information to clients efficiently and accurately, and also avoided wasting information network bandwidth.

Abstract: Spatial relation extraction is very important for remote sensing application, but most existing topological models hardly describe the order property of transformations among the topological relations. This paper proposed a new method to extract inclusion relation of image based on topology map in the process of multi-level image classification.

Abstract: To build a new image segmentation model based on level set theory : Add edge detection operator to edgeless active contour model to detect local information; introduce adaptive coefficient of area item to let the model autonomously adjust and evolve curve position according to image information; adopt weighted average gray value to replace traditional absolute mean value to reduce error and improve segmentation result. Experimental result comparison shows that the new model can detect global information and local information at the same time, adaptively adjust curve evolution direction, and has a fast segmentation speed. Compared to edgeless active contour model, the new model is a more effective image segmentation method as it has greater advantages in image segmentation accuracy and computational complexity.

Abstract: In order to achieve the intelligent dissemination of remote sensing image, the primary task is to establish a suitable user profile. In this paper, we proposed a novel approach of modeling user demand preferences, and took into account the multiple interests and the time factors. And we presented some computing methods of feature preference including time, space, image parameters, etc. At last, the simulation example shows the feasibility and effectiveness of the designed user demand preference model.

Abstract: In this paper we present an affine SIFT matching method to achieve reliable correspondence points in stereo matching with large viewpoint changes. We extended the affine invariant of the conventional SIFT approach by estimating the shape of the local patch around the interest point. Since we can obtain the scale information by SIFT detector, a second moment matrix (SMM) descriptor was employed to describe the shape. Furthermore, by comparing the shapes of the potential matches, we can normalize the template of SIFT descriptor and obtain the initial affine transformation. At last, we applied the iterative based method to achieve a fine registration with the estimated initial transformation parameters. The experiment results show that the proposed method is more robust to viewpoint changes and the accuracy of registration is better than feature based methods.

Abstract: Gaussian-Hermite moments and their invariants have been widely used in image processing and pattern recognition. The moments are strictly invariant for the continuous function. However, the digital images are discrete. The image function and the moment imvariants may change during image geometric transformation. To address this problem, an analysis with respect to the fluctuation of moment invariants on image geometric transformation is presented. The guidance is provided as well to minimizing the fluctuation of the Gaussian-Hermite moments.

Abstract: Projection Onto Convex Sets theory (POCS) and Scale Invariant Feature Transform (SIFT) algorithm were introduced for super-resolution restoration of moving blurred image. In order to achieve a better restored image, a POCS-SIFT based super-resolution image restoration algorithm was proposed, which incorporates POCS theory and SIFT algorithm. From experimental results, the improved restored images are obtained by POCS-SIFT hybrid algorithm.