In JPEG2000, the wavelet transformed image is subdivided into equally sized data blocks, which are independently entropy coded. It is therefore often strongly suggested that these blocks can be decoded on the instant ...
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In JPEG2000, the wavelet transformed image is subdivided into equally sized data blocks, which are independently entropy coded. It is therefore often strongly suggested that these blocks can be decoded on the instant of their creation at the encoder, making temporary memory quasi obsolete. Unfortunately, data dependencies in the forward and inverse wavelet transform prevent their complete, instantaneous creation (consumption) at the encoder (decoder), resulting in their partial, temporary storage and thus also in increased memory needs. This paper shows that the main burden is the unique, large data block size, which is used over all levels of the wavelet image. Relaxing this constraint substantially diminishes the memory needs over the full JPEG2000 codec chain.
A new technique for watermarking of MPEG compressed video streams is proposed. The watermarking scheme operates directly in the domain of MPEG program streams. Perceptual models are used during the embedding process i...
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A new technique for watermarking of MPEG compressed video streams is proposed. The watermarking scheme operates directly in the domain of MPEG program streams. Perceptual models are used during the embedding process in order to preserve the video quality. The watermark is embedded in the compressed domain and is detected without the use of the original video sequence. Experimental evaluation demonstrates that the proposed scheme is able to withstand a variety of attacks. The resulting watermarking system is fast and reliable, and is suitable for copyright protection and real-time content authentication applications.
This paper presents a meta-heuristic based technique Discrete Particle Swarm Optimization (DPSO) to address the permanent link failures in Application-Specific Network-on-Chip (NoC) design. Application-specific NoC ba...
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ISBN:
(数字)9781728137063
ISBN:
(纸本)9781728137070
This paper presents a meta-heuristic based technique Discrete Particle Swarm Optimization (DPSO) to address the permanent link failures in Application-Specific Network-on-Chip (NoC) design. Application-specific NoC based designs are more flexible with the current application requirements. With the advent of technology, dense integration of components on a chip gradually degraded the reliability and system performance. Therefore, to improve the reliability and system performance in application-specific NoC design, the proposed technique places the spare links in the likelihood of link faults. Experimentations have performed for different application benchmarks to leverage the efficiency of proposed technique. The results show that overhead in communication cost over fault-free result is minimum.
The impact of using different lossless compression algorithms when compressing biometric iris sample data from several public iris databases is investigated. In particular, we relate the application of dedicated lossl...
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The impact of using different lossless compression algorithms when compressing biometric iris sample data from several public iris databases is investigated. In particular, we relate the application of dedicated lossless image codecs like lossless JPEG, JPEG-LS, PNG, and GIF, lossless variants of lossy codecs like JPEG2000, JPEG XR, and SPIHT, and a few general purpose compression schemes to rectilinear iris imagery. The results are discussed in the light of the recent ISO/IEC FDIS 19794-6 and ANSI/NIST-ITL 1-2011 standards and the IREX recommendations.
This paper deals with the efficient transmission of JPEG compressed images over Multiple Input Multiple Output (MIMO) systems using Spatial Multiplexing (SM). By exploiting the advantages of multiple antenna systems, ...
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This paper deals with the efficient transmission of JPEG compressed images over Multiple Input Multiple Output (MIMO) systems using Spatial Multiplexing (SM). By exploiting the advantages of multiple antenna systems, data-rate, reliability, and throughput can be improved. The images are compressed using a progressive Discrete Cosine transform (DCT) based JPEG coder with spectral selection mode and an antenna selection scheme is performed (assuming perfect channel knowledge at the transmitter and receiver). The Signal to Interference Noise Ratio (SINR) of different antenna paths are calculated and the antennas are arranged in decreasing order of SINR's to transmit the different layers with a novel power allocation scheme. Linear Least Square Estimate (LLSE) algorithm is used to estimate the transmitted vector since it has the desirable property of not enhancing noise as much as the ZF estimator. The proposed scheme provides significant image quality improvement and less distortion compared to the existing EPA without SM.
This paper describes an innovative compression method of panoramic images based on MPEG-7 descriptors. The proposed solution employs a detection of a series of individual video frame overlaps in order to produce conca...
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This paper describes an innovative compression method of panoramic images based on MPEG-7 descriptors. The proposed solution employs a detection of a series of individual video frame overlaps in order to produce concatenated panoramic images. The presented method is easy to implement even in simple devices such as low power consuming chipsets installed in remote cameras having limited power supplies. Under subjective tests it has been proved that the concatenation method allows for achieving lower transmission rates while sustaining picture quality.
The design of a speech transform coder which is robust against channel errors is presented. The bit rate is 8 kb/s including 1.3 kb/s redundancy bits for bit-selective error correction. The coder is based on transform...
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The design of a speech transform coder which is robust against channel errors is presented. The bit rate is 8 kb/s including 1.3 kb/s redundancy bits for bit-selective error correction. The coder is based on transform coding with weighted vector quantization and two-channel conjugate vector quantization. Each scheme improves the robustness against channel errors without sacrificing the performance of the error-free case. Real-time operation can be achieved with 10 MIPS DSP and 8-kword memory with a 80-ms coding delay. The mean opinion score of the coded speech is comparable to that of 5-bit log PCM even at a 1% burst error rate.< >
As many special attentions have been paid to modern teaching methods, the demands of multimedia teaching equipments are growing rapidly. However, most of the multimedia teaching equipments are still at a low level. In...
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As many special attentions have been paid to modern teaching methods, the demands of multimedia teaching equipments are growing rapidly. However, most of the multimedia teaching equipments are still at a low level. In order to improve the situation, researching an embedded video terminal for teaching systems has practical significance. In this paper, we introduce an embedded video terminal that supports MPEG-4 and fits for multimedia teaching system. The terminal based on Z228 is able to decode MPEG-4 bit stream up to 30 frames per second at VGA (640 x 480) resolution. Additionally, as a highlight feature of the design, the implemented terminal is a low price solution in which only one chip is applied to realize complex MPEG-4 decoder.
The image compression has always been one of the competitive fields of studies. It aims to represent an image in a minimal size in bytes without compromising the image quality. Our method; the numbering combinations m...
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ISBN:
(纸本)9781467385275
The image compression has always been one of the competitive fields of studies. It aims to represent an image in a minimal size in bytes without compromising the image quality. Our method; the numbering combinations method, consists on calculating all the possible combinations of the pixels and associate an index to our image through all the mentioned combinations. This index is a unique identifier of the image. However, with real images, the index of an image is a big number and it is difficult to manipulate it or to talk about image compression. The idea is to implement our algorithm as an image compression technique and test it in transmission to judge its performances.
In this paper, we proposed a robust moving video object segmentation algorithm using features in the MPEG compressed domain. We first cluster the motion vectors and produce a motion mask. Then, a difference mask at 8 ...
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ISBN:
(纸本)0780377508
In this paper, we proposed a robust moving video object segmentation algorithm using features in the MPEG compressed domain. We first cluster the motion vectors and produce a motion mask. Then, a difference mask at 8 x 8 block size is extracted from the DC image by background subtraction method. Finally, the motion mask and the difference mask are combined conditionally to generate the final object mask based on a set of rules that are application specified and is obtained with learning or heuristic based methods. The experimental results show that this object segmentation scheme is more robust than those using DC image or motion vectors only.
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