In today's present image processing world, Object Recognition is most important feature for images. In such signal and image processing sections Scale Invariant Feature Transform (SIFT) plays an important role as ...
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ISBN:
(纸本)9781509006120
In today's present image processing world, Object Recognition is most important feature for images. In such signal and image processing sections Scale Invariant Feature Transform (SIFT) plays an important role as robust local invariant feature descriptor for object recognition. To further improve the recognition and subsequently the retrieval, Sparse coding using SIFT features are performed using a novel approach as Linear Spatial Pyramid Matching which improves the object recognition such as images or data. The content of the image is extracted using SIFT. Sparse feature representations for the SIFT features are then computed using the learned dictionary. These representations are further pooled via spatial pyramid matching kernels which have a fixed dimension feature vectors that represents the whole image. The SPM is used to maximum pool the local features from the images and improves the spatial information. The proposed method effectively represents the features of the images and these features are used in image retrieval. Based on the query image, the Euclidean distance is calculated with database images and similar images are resulted. And the Precision and Recall measures shows improved performance.
Speech coding is a technique that compresses speech signals into a smaller digital form, making it easier to transmit or store, while still maintaining the quality and intelligibility of the speech. The review aimed t...
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Given the increasing number of mobile platforms, a key technical challenge is how to provide efficient image processing application on resource-limited mobile devices. This paper proposes a novel technique for mobile ...
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ISBN:
(纸本)9781467325882;9781467325875
Given the increasing number of mobile platforms, a key technical challenge is how to provide efficient image processing application on resource-limited mobile devices. This paper proposes a novel technique for mobile image abstraction on mobile platform. In order to reduce the computation complexity, the image abstraction process is conducted on a cloud computing system. In this technique, captured images are analyzed to detect visual salient area, which is then provided for adaptive detail preservation of abstraction. To further reduce the image size for efficient transmission between mobile device and cloud computing system while maintaining the visual quality of abstracted image, the derived algorithm regards the salient regions as the dictionary in sparse representation, and selects the salient regions that minimize the residual output error iteratively, thus the resulting regions have a direct correspondence to the performance requirements of the given problem. Experimental results obtained using extensive datasets captured under uncontrolled conditions show the efficacy of the proposed system for conducting image abstraction on mobile platform using sparse representation.
We propose a highly scalable image coder based on Zero-blocks and Array structures, called S-EZBA. It achieves not only distortion scalability, resolution scalability, and region of interest (ROI) retrievability, but ...
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Over the past decade, information metasurfaces have made significant progress, breaking down the barrier between the physical world and information science. However, most of the current information metasurfaces are co...
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ISBN:
(纸本)9798350389968
Over the past decade, information metasurfaces have made significant progress, breaking down the barrier between the physical world and information science. However, most of the current information metasurfaces are commonly either amplitude-only or phase-only coding, or operated under single linear polarization, extremely limiting their functions and applications. Herein, a broadband and spin-selective amplitude-phase-joint-coding (APJC) information metasurface is proposed, based on which the amplitude and phase of co-polarized reflected electromagnetic (EM) waves under orthogonal circularly polarized (CP) incidence can be simultaneously and independently controlled via tailoring the resistance values of lumped resistors embedded into the meta-particles. In particular, the co-polarized reflection amplitudes and phases of two orthogonal circular polarizations can be separately switched between two states "0-1" and "0 degrees-180 degrees", and both of which can be encoded in broadband range from 8 to 12GHz. It's expected that the proposed strategy can be applied to dual-channel stealthy technology and might find applications in data encryption, multi-user communications and other integrated systems.
Cloud computing is a computing system consisting of large-scale and low-cost computing units over IP network to provide computing and storage services. It presents a new technical method and service mode for IT develo...
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Cloud computing is a computing system consisting of large-scale and low-cost computing units over IP network to provide computing and storage services. It presents a new technical method and service mode for IT development taking full advantages of its high performance, low cost, and flexible scalability. However, numerous challenges might emerge from IT infrastructure design and deployment based on cloud computing system. Currently, the potential difficulties lie in cloud architecture design, resource pool division, realization of unified management, security mechanism, and service layer design. This paper analyses the challenges and suggests possible solutions accordingly in cloud computing scenarios.
In the information age, advanced Internet technology and cloud computingtechnology have been widely used in all walks of life, which have brought great convenience to people's work and life. Cloud computing techn...
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ISBN:
(纸本)9781665417907
In the information age, advanced Internet technology and cloud computingtechnology have been widely used in all walks of life, which have brought great convenience to people's work and life. Cloud computingtechnology can not only provide a good platform for computer data processing, but also provide a platform for users to use cloud computing to process data and information, and provide security for data transmission. However, due to the particularity of the computer network environment and the characteristics of cloud computingtechnology, there are still some security issues that need to be resolved. This article will combine the related concepts and content of cloud computingtechnology to analyze the role and specific application of cloud computingtechnology in computer data processing. The author puts forward the problems existing in the application of current cloud computingtechnology. In order to better play the value of cloud computingtechnology in computer data processing, the author of this article has given effective measures to ensure cloud computing security, strengthen research and development of hybrid cloud computing, develop corresponding programs, and improve performance.
We consider a system in which the source node delivers status updates to the monitor node over a fading channel with nonnegligible propagation delay. In this work, we propose a two-layer coding scheme which uses erasu...
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Medical images form a vital part of a patient's record in medical centers. Medical imaging devices generate data with huge memory requirements. Medical image compression is mandatory for storage and communication ...
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ISBN:
(纸本)9789811510847;9789811510830
Medical images form a vital part of a patient's record in medical centers. Medical imaging devices generate data with huge memory requirements. Medical image compression is mandatory for storage and communication of medical data for the purpose of diagnosis. Compression removes the extraneous and redundant data in an image to reduce the storage cost as well as data transmission cost. Compression involves removing coding, interpixel or psychovisual redundancy in an image and, at the same time, retaining the integrity of the information required for the diagnosis in medical images. Lossless compression assures exact reconstruction of the original image after decompressing it and provides greater quality but lesser compression ratio. This paper presents two approaches for lossless compression of medical images. In the first approach, Huffman coding is implemented directly on medical images, whereas in the second approach, differential coding is applied on medical images before implementing Huffman coding. Experimental results show that differential Huffman coding improves the compression ratio.
Network lifetime optimization is a critical issue in energy-constrained and error-prone wireless video sensor networks. Multipath routing based network coding can effectively solve the packet loss problem in which onl...
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ISBN:
(纸本)9781849191388
Network lifetime optimization is a critical issue in energy-constrained and error-prone wireless video sensor networks. Multipath routing based network coding can effectively solve the packet loss problem in which only a relatively small proportion of energy is consumed. In this paper, we study the network lifetime optimization model in wireless video sensor networks by jointly optimizing the source rates, the link rates, the video encoding power and the network coding power. Using Lagrange duality, a decentralized algorithm is proposed to solve the target convex optimization problem. Through numerical simulations, the convergence and performance of the proposed algorithm are demonstrated.
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