Classification of images requires extraction of optimal set of features. In this paper, a method that uses genetic algorithm creating texture descriptors on features computed from a feature extraction method is presen...
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ISBN:
(纸本)0819444863
Classification of images requires extraction of optimal set of features. In this paper, a method that uses genetic algorithm creating texture descriptors on features computed from a feature extraction method is presented.. A feature extraction algorithm is applied to a database of images and a training feature matrix is created. This matrix is updated by a dynamic algorithm, which finds the vectors most close to the real solution in the Euclidean norm. This set forms the texture descriptor which can be further used for classification of unknown samples. A weighted fitness function that selects best parents in each generation has been implemented. Examples of classification are presented with the features computed from a classification algorithm. Results show that the classification performance of the features improved after applying the genetic algorithm. The algorithm is cost efficient. This algorithm is also compared with that of the Learning Vector Quantization method which quantizes the training vectors to an optimal set of codebook vectors.
This Volume 4741 of the conference proceedings contains 36 papers. Topics discussed include communications and computing, command and control systems, smart sensor networks, intelligence, surveillance, target acquisit...
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This Volume 4741 of the conference proceedings contains 36 papers. Topics discussed include communications and computing, command and control systems, smart sensor networks, intelligence, surveillance, target acquisition and reconnaissance, geo-spatial image and data exploitation developments and applications.
We consider the scenario of blind information hiding in images as a communications channel, where the channel noise is caused by the embedding and blind extraction method as well as by any lossy compression method uti...
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We consider the scenario of blind information hiding in images as a communications channel, where the channel noise is caused by the embedding and blind extraction method as well as by any lossy compression method utilized to store and transmit the image. We assume that the objectives of the information hiding method are the maximization of pay load and its visual and statistical imperceptibility;also, we assume that the warden is passive. For the specific method of Spread Spectrum image Steganography (SSIS) we show that the channel can be modeled as a Laplacian distribution, and use this to estimate the channel SNR to be expected for any given signal embedding strength by applying the technique to a range of typical images. Finally, we model the effects of various signal extraction methods and lossy compression. This allows a fair comparison with respect to payload capacity. The results shown in this paper are useful for maximizing the channel usage.
Mobile multimedia communication has rapidly become a significant area of research and development constantly challenging boundaries on a variety of technological fronts. The processing requirements for the capture, co...
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ISBN:
(纸本)0780376005
Mobile multimedia communication has rapidly become a significant area of research and development constantly challenging boundaries on a variety of technological fronts. The processing requirements for the capture, conversion, compression, decompression, enhancement, display, etc. of increasingly higher quality multimedia content places heavy demands even on current ULSI (ultra large scale integration) systems, particularly for mobile applications where area and power are primary considerations. The system presented in this paper is designed as a vertically integrated (3D) system comprising two distinct layers bonded together using Indium bump technology. The top layer is a CMOS imaging array containing analog-to-digital converters, and a buffer memory. The bottom layer takes the form of a configurable array processor (CAP), a highly parallel array of soft programmable processors capable of carrying out complex processing tasks directly on data stored in the top plane. Until recently, the dominant format of data in imaging devices has been analog. The analog photocurrent or sampled voltage is transferred to the ADC via a column or a column/row bus. In the proposed system, an array of analog-to-digital converters is distributed, so that a one-bit cell is associated with one sensor. The analog-to-digital converters are algorithmic current-mode converters. Eight such cells are cascaded to form an 8-bit converter. Additionally, each photosensor is equipped with a current memory cell, and multiple conversions are performed with scaled values of the photocurrent for colour processing.
The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self-organizing technique for content-base...
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ISBN:
(纸本)076951695X
The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self-organizing technique for content-based image retrieval. In this paper we apply the visual content descriptors provided by MPEG-7 in our PicSOM system and compare our own image indexing technique with a reference method based on vector quantization. The results of our experiments show that the MPEG-7 descriptors can be used as such in the PicSOM system.
By using integer discrete cosine transform (IntDCT) based on lifting steps, we in this paper introduce an integer hierarchy lapped biorthogonal transform. via lifting steps called the IntHLBT. When all elements with f...
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ISBN:
(纸本)0780374886
By using integer discrete cosine transform (IntDCT) based on lifting steps, we in this paper introduce an integer hierarchy lapped biorthogonal transform. via lifting steps called the IntHLBT. When all elements with floating-point of each lifting matrix in the IntHLBT is approximated by the binary fractions, the IntHLBT is implemented by a series of dyadic lifting steps.. and provides very fast, efficient in-place computation of the transform coefficients, so it can express image information lossless. As applications of the novel IntHLBT to lossy image compression, simulation results demonstrate that the IntHLBT has significantly less blocking artifacts,. higher peak signal-to-noise ratio (PSNR), and better visual quality than the DCT. Moreover. the IntHLBT's coding performance is approxiarntely the same as that of the much more complex Cohen-Daubechies-Feauveau(CDF) 9/7 biorthogonal wavelet with floating-point coefficients, and in some cases, even surpasses that of CDF9/7 biorthogonal wavelet.
The video segmentation problem can be regarded as a problem of detecting the fundamental video units (shots). Due to different ways of linking two consecutive shots this task turns out to be difficult. In this work, w...
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The use of high-speed data acquisition and digital signal processing (DSP) technology has become the cornerstone of many areas of electrical engineering. This is particularly true in the fields of communications, cont...
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The use of high-speed data acquisition and digital signal processing (DSP) technology has become the cornerstone of many areas of electrical engineering. This is particularly true in the fields of communications, controls, intelligent systems, signal and imageprocessing. One of the driving forces behind DSP is the overwhelming interest in real-time processing as, for example, in high definition television, spread spectrum communications, and speech recognition systems. It is clear that DSP is instrumental in conveying the principles of many topics covered in electrical engineering particularly with respect to modeling and simulation. The objective of this paper is to describe a multi-course sequence which employs DSP at many levels of the undergraduate curriculum for the purpose of enabling students to visualize, test, and implement concepts introduced in the classroom. This is accomplished through the completion of special projects and laboratory exercises in multiple courses with the goal of developing a solid foundation in engineering principles by the time of graduation. All students are required to take a core set of courses, which introduce DSP concepts, including applications where DSP is not typically employed. The level of complexity is increased as students progress through the curriculum, culminating in technical electives that extend their knowledge in a particular area of interest. The objectives of the sequence are realized through the employment of simulation tools and real-time hardware. This project is part of a plan to blend state-of-the-art technology with real world applications for the purpose of enhancing the undergraduate experience.
This Volume 2 of 5 of the conference proceedings contains 223 papers. Topics discussed include radio frequency filter circuits, circuit theory and applications, nanoelectronic integrated circuits, analog synthesis and...
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This Volume 2 of 5 of the conference proceedings contains 223 papers. Topics discussed include radio frequency filter circuits, circuit theory and applications, nanoelectronic integrated circuits, analog synthesis and optimization, multimedia understanding and segmentation, communication circuits, neural networks hardware architecture and implementations, modeling of nonlinear systems, sensors and processing circuits, audio and speech processing, signal processing systems, active filters, numerical and combinatorial optimization, three dimensional graphics and other topics in multimedia, imageprocessing and sensors, digital signal processing, hardware implementation for multimedia, smart sensors, cryptography architectures, system on chip methodologies, analog to digital conversion characterization, oscillators and phase locking, operational amplifiers, multimedia watermarking, power estimation, fast motion estimation, signal processing for communications, chaotic circuits, wireless communication architectures, microelectromechanical devices, sensors and processing systems, signal processing algorithms, oversampled data conversion, applications for image and video processing, video signal processing, IIR digital filters, multimedia communication and transmission, smart sensors, logarithmic and residue arithmetic, high speed VLSI circuits, self-correction analog to digital converters, integrated inductors, fast-settling amplifiers, speech and audio processing and floorplanning and placement.
The main requirements of satellite on-board processing are heavy constraints on volume/weight/power consumption, the need for computation power always growing and the necessity for an excellent reliability. THALES Com...
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