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2012 11th International Conference on Information science, Signal processing and their Applications, ISSPA 2012

作者： Nickaein, Isaac Rahmati, Mohammad Ghidary, Saeed Shiry Zohrabi, Abtin Image Processing and Pattern Recognition Lab Department of Computer Engineering and IT Amirkabir University of Technology Tehran Iran Abtin Zohrabi Faculty of Computer Science University of New Brunswick Canada

ISBN: (纸本)9781467303828

Distributed Video Coding (DVC) is a new class of video coding techniques with the aim of coding the decentralized video sources. While the Stanford Wyner-Ziv codec is a well-known architecture in DVC literature, one of its main drawbacks is the presence of a feedback channel from the decoder to the encoder. This feedback channel makes the use of the codec impractical in some applications. Since the only application of the feedback channel is in requesting more parity bits from the encoder, it could be omitted if the encoder estimates the required parity bits and sends them at once. In this paper, a new method of bitrate estimation using a neural network trained by a new set of features is proposed. In addition, a Hybrid mode is proposed that reduces computational complexity at the decoder in a conventional Wyner-Ziv codec. © 2012 IEEE.

关键词： image coding

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A key management mechanism for DHT networks

A key management mechanism for DHT networks

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2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal processing, IIH-MSP 2012

作者： Zhang, Wen Niu, Shao-Zhang Zou, Jian-Cheng School of Computer Science Beijing University of Posts and Telecommunications Beijing 100876 China Institute of Image Processing and Pattern Recognition North China University of Technology Beijing 100144 China

ISBN: (纸本)9780769547121

This paper proposes a key management mechanism by DH distributed key tree for the DHT network, which is based on the DHT network routing mechanism and network topology structure. The scheme uses the DH algorithm for key agreement, to ensure that the nodes in the DHT network are able to maintain a limited number of keys, and on this basis to complete encryption of routing messages across the network. The key management mechanism provides a secure shared key for the data encryption between the nodes in the DHT network, and maintains a high degree of consistency with the DHT network topology structure, and it has broad application prospects. © 2012 IEEE.

关键词： Network routing

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Iterative data adaptive anisotropic image filtering

Iterative data adaptive anisotropic image filtering

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Yang, Chang-Cai Zheng, Xin-Yi Tian, Jin-Wen Shang, Ke Tian, Xin Hao, Wei Institute for Pattern Recognition and Artificial Intelligence Science and Technology on Multi-Spectral Information Processing Laboratory Huazhong University of Science and Technology Wuhan 430074 China Electrical Engineering and Renewable Energy School China Three Gorges University Yichang 443002 China Institute of Intelligent Vision and Image Information College of Computer and Information Technology China Three Gorges University Yichang 443002 China

ISBN: (纸本)9781467314855

This paper presents a novel data-adaptive anisotropic filtering technique built on top of an iterative scheme. This new technique can preserve the original significant structures while suppressing noises to the largest extent. To achieve this goal, dominant orientation information of all gradients is used to control the local kernel adaptively. This results in elongated and elliptical contours spread along the directions of the local edge structure. With these locally adapted kernels, the smoothing is mostly effective along the edges, rather than across them. Therefore details in the original input can be preserved. The performance of the proposed data-adaptive anisotropic filter together with its iterative scheme are compared with the conventional Gaussian filter, anisotropic diffusion filter, the structure-adaptive anisotropic filter, and the iterative kernel regression scheme. The experimental results on both simulated Gaussian and Poission noisy images indicate that the proposed method performs the best, and the iterative scheme can significantly improve the performance of the noise suppressing while delivering high computation efficiency. © 2012 IEEE.

关键词： Iterative methods

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An analysis of relationship of watermarking decoding error bit rate and payload capacity

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Journal of Computational Information Systems 2012年第20期8卷 8431-8438页

作者： Zhang, Xinhong Zhang, Fan Li, Duoyi Li, Congcong Computing Center Henan University Kaifeng 475001 China Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China Department of Electronic Science and Engineering Nanjing University Nanjing 210008 China

Capacity and bit error rate (EBR) are two important properties of digital image watermarking. An analysis about the relationship of watermarking decoding error bit rate and payload capacity is proposed in this paper. Two watermarking communication models are established for the error bit rate analysis of digital image watermarking. In the case of channel coding is used, the EBR of watermarking depends on the channel decoding EBR and the channel transmission EBR. The EBR of watermarking will drop with the decrease of watermark payload capacity. When the payload capacity is less than the channel capacity, the EBR will maintain a lower lever. © 2012 Binary Information Press.

关键词： Bit error rate

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Handwritten and Machine Printed Text Separation in Document images Using the Bag of Visual Words Paradigm

Handwritten and Machine Printed Text Separation in Document ...

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International Workshop on Frontiers in Handwriting recognition

作者： Konstantinos Zagoris Ioannis Pratikakis Apostolos Antonacopoulos Basilis Gatos Nikos Papamarkos Pattern Recognition and Image Analysis (PRImA) Research Laboratory School of Computing Science and Engineering University of Salford Greater Manchester UK Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Institute of Informatics and Telecommunications National Center for Scientific Research Demokritos Athens Greece

In a number of types of documents, ranging from forms to archive documents and books with annotations, machine printed and handwritten text may be present in the same document image, giving rise to significant issues within a digitisation and recognition pipeline. It is therefore necessary to separate the two types of text before applying different recognition methodologies to each. In this paper, a new approach is proposed which strives towards identifying and separating handwritten from machine printed text using the Bag of Visual Words paradigm (BoVW). Initially, blocks of interest are detected in the document image. For each block, a descriptor is calculated based on the BoVW. The final characterization of the blocks as Handwritten, Machine Printed or Noise is made by a Support Vector Machine classifier. The promising performance of the proposed approach is shown by using a consistent evaluation methodology which couples meaningful measures along with a new dataset.

关键词： Visualization Noise image segmentation Hidden Markov models Gabor filters Handwriting recognition Text recognition

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Sampling step importance in hierarchical semantic segmentation of microscopic images

Sampling step importance in hierarchical semantic segmentati...

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15th International Conference on System Theory, Control and Computing, ICSTCC 2011

作者： Smochina, Cristian Manta, Vasile Kropatsch, Walter Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

ISBN: (纸本)9781457711732

The objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. This problem is challenging due to the large variations of these components features (size, shape, orientation or texture). In this paper we improve the technique presented in [17] used to identify the epithelial nuclei (crypt) against interstitial nuclei in microscopic images taken from colon tissues. In the proposed enhanced approach, the crypt inner boundary is detected using the closing morphological pyramid instead of morphological hierarchy. The outer crypt border is determined by the epithelial nuclei, overlapped by the maximal isoline of the inner boundary. The use of sampling in building the pyramid offers computational efficiency, reduces the amount of used memory, increase the robustness and preserve the quality results. An analysis of the two approaches is performed considering the number of pixels processed to create each level. Also the relation between the levels of the hierarchical structures is established. © 2011 Faculty of Auto Control.

关键词： Computational efficiency

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Incremental-decremental algorithm for computing AT-models and persistent homology

Incremental-decremental algorithm for computing AT-models an...

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Lecture Notes in computer science

作者： Gonzalez-Diaz, Rocio Ion, Adrian Jimenez, Maria Jose Poyatos, Regina School of Computer Engineering University of Seville Spain Pattern Recognition and Image Processing Group Vienna University of Technology Austria Institute of Science and Technology Austria

ISBN: (纸本)9783642236716

In this paper, we establish a correspondence between the incremental algorithm for computing AT-models [8,9] and the one for computing persistent homology [6,14,15]. We also present a decremental algorithm for computing AT-models that allows to extend the persistence computation to a wider setting. Finally, we show how to combine incremental and decremental techniques for persistent homology computation. © 2011 Springer-Verlag.

关键词： computers

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Position identification by actively localizing spacial sound beacons

Position identification by actively localizing spacial sound...

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作者： Li, Huakang Huang, Jie Zhao, Qunfei School of Computer Science Engineering University of Aizu Aizuwakamatsu-shi 965-8580 Japan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

In this paper, we propose a method for robot self-position identification by active sound localization. This method can be used for autonomous security robots working in room environments. A system using an AIBO robot equipped with two microphones and a wireless network is constructed and used for position identification experiments. Differences in arrival time to the robot's microphones are used as localization cues. To overcome the ambiguity of front-back confusion, a three-head-position measurement method is proposed. The position of robot can be identified by the intersection of circles restricted using the azimuth differences among different sound beacon pairs. By localizing three or four loudspeakers as sound beacons positioned at known locations, the robot can identify its position with an average error of 7 cm in a 2.5 × 3.0m2 working space in the horizontal plane. We propose adjusting the arrival time differences (ATDs) to reduce the errors caused when the sound beacons are high mounted. A robot navigation experiment was conducted to demonstrate the effectiveness of the proposed position-identification system. © 2011 The institute of Electronics, Information and Communication Engineers.

关键词： Robots

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Line-based cascade labeling algorithm for hyper-scale issue

Line-based cascade labeling algorithm for hyper-scale issue

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2nd International Conference on Multimedia Technology, ICMT 2011

作者： Zhao, Hualong Sang, Hongshi Zhang, Tianxu Fan, Yebin National Key Laboratory of Science and Technology on Multi-spectral Information Processing Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781612847740

A fast and efficient algorithm is presented to label the connected components for binary image, especially for very huge images or any image larger than the available memory. The cascading style scheme compresses the algorithm's workspace to only 2 rows of image, which makes it possible to process any scale image with very low memory requirement. Two techniques are also applied for improving the performance further: the search path compression;the image data prefetching. An extensive comparison with the state-of-art algorithms is proposed, both on random and real datasets. Our algorithm shows an impressive speedup as much as 10X, while the total memory cost is significantly reduced. © 2011 IEEE.

关键词： Binary images

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Sampling step importance in hierarchical semantic segmentation of microscopic images

Sampling step importance in hierarchical semantic segmentati...

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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Cristian Smochina Vasile Manta Walter Kropatsch Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

关键词： Cryptography image segmentation image reconstruction image resolution Microscopy Buildings Shape

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