Current Issue : January - March Volume : 2015 Issue Number : 1 Articles : 5 Articles
Video streaming is predicted to become the dominating traffic in mobile broadband networks. At the same time, adaptive HTTP\nstreaming is developing into the preferred way of streaming media over the Internet. In this paper, we evaluate how different\ncomponents of a streaming system can be optimized when serving content to mobile devices in particular. We first analyze\nthe media traffic from a Norwegian network and media provider. Based on our findings, we outline benefits and challenges for\nHTTP streaming, on the sender and the receiver side, and we investigate how HTTP-based streaming affects server performance.\nFurthermore, we discuss various aspects of efficient coding of the video segments from both performance and user perception\npoint of view. The final part of the paper studies efficient adaptation and delivery to mobile devices over wireless networks. We\nexperimentally evaluate and improve adaptation strategies, multi link solutions, and bandwidth prediction techniques. Based on\nthe results from our evaluations, we make recommendations for how an adaptive streaming system should handle mobile devices.\nSmall changes, or simple awareness of how users perceive quality, can often have large effects....
To avoid the staircase artifacts, an adaptive image denoising model is proposed by the weighted combination of Tikhonov\nregularization and total variation regularization. In our model, Tikhonov regularization and total variation regularization can be\nadaptively selected based on the gradient information of the image. When the pixels belong to the smooth regions, Tikhonov\nregularization is adopted, which can eliminate the staircase artifacts. When the pixels locate at the edges, total variation\nregularization is selected, which can preserve the edges. We employ the split Bregman method to solve our model. Experimental\nresults demonstrate that our model can obtain better performance than those of other models....
Generally, subspace learning based methods such as the Incremental Visual Tracker (IVT) have been shown to be quite effective\nfor visual tracking problem. However, it may fail to follow the target when it undergoes drastic pose or illumination changes. In\nthis work, we present a novel tracker to enhance the IVT algorithm by employing a multicue based adaptive appearance model.\nFirst, we carry out the integration of cues both in feature space and in geometric space. Second, the integration directly depends\non the dynamically-changing reliabilities of visual cues. These two aspects of our method allow the tracker to easily adapt itself\nto the changes in the context and accordingly improve the tracking accuracy by resolving the ambiguities. Experimental results\ndemonstrate that subspace-based tracking is strongly improved by exploiting the multiple cues through the proposed algorithm....
This paper presents a new technique for the binarization of historical document images characterized by deteriorations and damages\nmaking their automatic processing difficult at several levels. The proposed method is based on hybrid thresholding combining the\nadvantages of global and local methods and on the mixture of several binarization techniques. Two stages have been included. In\nthe first stage, global thresholding is applied on the entire image and two different thresholds are determined from which the most\nof image pixels are classified into foreground or background. In the second stage, the remaining pixels are assigned to foreground\nor background classes based on local analysis. In this stage, several local thresholding methods are combined and the final binary\nvalue of each remaining pixel is chosen as the most probable one.The proposed technique has been tested on a large collection of\nstandard and synthetic documents and compared with well-known methods using standard measures and was shown to be more\npowerful....
Among the various smartmultimedia devices,multimedia smartphones have become the most widespread due to their convenient\nportability and real-time information sharing, as well as various other built-in features. Accordingly, since personal and business\nactivities can be carried out using multimedia smartphones without restrictions based on time and location, people have more\nleisure time and convenience than ever. However, problems such as loss, theft, and information leakage because of convenient\nportability have also increased proportionally. As a result,mostmultimedia smartphones are equipped with various built-in locking\nfeatures. Pattern lock, personal identification numbers, and passwords are the most used locking features on current smartphones,\nbut these are vulnerable to shoulder surfing and smudge attacks, allowing malicious users to bypass the security feature easily. In\nparticular, the smudge attack technique is a convenient way to unlock multimedia smartphones after they have been stolen. In this\npaper, we propose the secure locking screen using time pattern (SLSTP) focusing on improved security and convenience for users\nto support human-centric multimedia device completely. The SLSTP can provide a simple interface to users and reduce the risk\nfactors pertaining to security leakage to malicious third parties....
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