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检索条件"任意字段=Conference on Visual Communications and Image Processing"

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MPEG-7 and image understanding systems

MPEG-7 and image understanding systems

引用

conference on visual communications and image processing 2003

作者： Kuvich, G Smart Computer Vision Systems (United States)

ISBN: (纸本)0819450235

Inexpensive computer hardware and optical devices has made image/video applications available even for private individuals. This has created a huge demand for image and multimedia databases and other systems, which work with visual information. Analysis of visual information has not been completely formalized and automated yet. The reason for that is a long tradition of separation of vision and knowledge subsystems. However, brain researches show that vision is a part of a larger information system that converts visual information into knowledge structures. These structures drive vision process, resolve ambiguity and uncertainty in real images via feedback projections, and provide image understanding that is an interpretation of visual information in terms of such knowledge models. It is hard to split such system apart. Vision mechanisms can never be completely understood separately from the informational processes related to knowledge and intelligence. MPEG-7 is an industry-wide effort to incorporate knowledge into image/video code. This article describes basic principles of integration low-level image processing with high-level knowledge reasoning, and shows how image Understanding systems can utilize MPEG-7 standard. Such applications can add to the standard the power of image understanding.

关键词： image video understanding network symbolic models knowledge vision systems MPEG-7

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An MRF Framework For Co-Solving image Segmentation and Border Ownership 23

An MRF Framework For Co-Solving Image Segmentation and Borde...

引用

23nd Signal processing and communications Applications conference (SIU)

作者： Karadag, Ozge Oztimur Akkus, Mehmet Akif Kalkan, Sinan Vural, Fatos T. Yarman Akdeniz Univ Bilgisayar Muhendisligi Bolumu Antalya Turkey Orta Dogu Tekn Univ Bilgisayar Muhendisligi Bolumu Ankara Turkey Orta Dogu Tekn Univ Bilgisayar Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781467373869

image segmentation and border ownership assignment are two widely studied areas in the computer vision literature. It is well known that both the segmentation and the border ownership assignment play an important role in the visual perception. In this study, a Markov Random Fields model which provides a dual solution for the segmentation and the border ownership assignment is proposed. The proposed system is analyzed both quantitatively and qualitatively.

关键词： image segmentation border ownership Markov Random Fields

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ASSESSMENT OF image-CODING BY INFORMATION-THEORY 3

ASSESSMENT OF IMAGE-CODING BY INFORMATION-THEORY

引用

conference on visual Information processing III

作者： RAHMAN, ZU FALES, CL HUCK, FO SCI & TECHNOL CORP HAMPTONVA 23666

ISBN: (纸本)081941543X

The task of image coding is to improve the efficiency of visual communication channels. This entails minimizing the amount of data required to transmit the information about the radiance field. We assess this task in the context of visual communication channel design including image gathering, coding, and Wiener restoration which results in channel designs with significantly improved performance. Conventional assessments are limited to the digital transmission channel beginning at the output of the image-gathering device and ending at the input to the image-display device. Our end-to-end assessment, in addition, incorporates these two devices. This assessment combines Shannon's communication theory with Wiener's restoration filter and with the critical design factors of the image gathering and display devices. This provides the metrics needed to quantify and optimize the end-to-end performance of the visual communication channel. The results are described.

关键词： Quantization Signal to noise ratio image compression image restoration visual communications visualization image processing image quality visual information processing image transmission

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An embedded image coding algorithm using set partitioning in block trees of wavelet coefficients

An embedded image coding algorithm using set partitioning in...

引用

conference on visual communications and image processing 2002

作者： Yang, CM Ho, YS Kwangju Inst Sci & Technol Dept Informat & Commun Visual Commun Lab Puk Gu Kwangju 500712 South Korea

ISBN: (纸本)0819444111

In this paper, we propose a simple but efficient wavelet-based embedded image coder that employs a new inter-band magnitude relationship in the wavelet coefficients and block trees. The proposed scheme includes multi-level dyadic wavelet decomposition, raster scanning within each subband, formation of block trees, partitioning of block trees and adaptive arithmetic entropy coding. Although the proposed scheme is simple, it produces a bitstream with a rich set of features, including SNR scalability and the embedded nature. Experimental results demonstrate that the new scheme is quite competitive to and outperforms other good image coders in the literature.

关键词： wavelet transform image coding block tree block partitioning

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Improving Tag Matrix Completion for image Annotation and Retrieval

Improving Tag Matrix Completion for Image Annotation and Ret...

引用

IEEE visual communications and image processing (VCIP) conference

作者： Qin, Zhen Li, Chun-Guang Zhang, Honggang Guo, Jun Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China

ISBN: (纸本)9781467373142

image annotation is a fundamental and challenging task in the field of semantic image retrieval. In this paper, we deal with image annotation via matrix completion. Concretely, we formulate the problem of annotating the tags of an image into a constrained optimization problem, in which the constraint is to keep the consistency with the given initial labels and the objective is to minimize the discrepancy between the correlation in visual content and the correlation in semantic tags. We solve the optimization problem with the linearized alternating direction method. Experimental results on benchmark data demonstrate the effectiveness of our proposals.

关键词： image annotation matrix completion Tag Matrix Completion linearized alternating direction method tag based image retrieval

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Application of kernel density estimation for color image filtering

Application of kernel density estimation for color image fil...

引用

conference on visual communications and image processing 2003

作者： Smolka, B Lukac, R Plataniotis, K Venetsanopoulos, A Silesian Tech Univ Dept Automat Control PL-44101 Gliwice Poland

ISBN: (纸本)0819450235

This paper presents a new filtering scheme for the removal of impulsive noise in multichannel images. It is based on estimating the probability density function for image pixels in a filtering window by means of the kernel density estimation method. The filtering algorithm itself is based on the comparison of pixels with their neighborhood in a sliding filter window. The quality of noise suppression and detail preservation of the new filter is measured quantitatively in terms of the standard image quality criteria. The filtering results obtained with the new filter show its excellent ability to reduce noise while simultaneously preserving fine image details.

关键词： image filtering Digital filtering Optical filters Statistical analysis image processing image analysis Distance measurement image quality Interference (communication) Automatic control

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O(1) Contrast Preserving Decolorization Using Linear Local Mapping 8

<i>O</i>(1) Contrast Preserving Decolorization Using Linear ...

引用

8th International conference on Wireless communications and Signal processing (WCSP)

作者： Song, Yibing Gong, Lijun City Univ Hong Kong Dept Comp Sci Kowloon Hong Kong Peoples R China SenseNets Corp Ctr Res & Dev Shenzhen Peoples R China

ISBN: (纸本)9781509028603

We propose an effective and efficient local decolorization method in this paper. It is an extension of the global decolorization method [6] which robustly reproduces visual appearance of a color image in the grayscale output. The improvement of the local extension is the effective preservation of the local color contrast which may diminish in the global method. Meanwhile the proposed local extension is efficient in that the computational complexity is O(1) for each pixel, which will be independent of the local kernel size. Quantitative evaluation among existing decolorization methods shows that our local extension performs favorable in both image quality and time cost. Meanwhile, our method can be extended into temporal domain for robust video decolorization.

关键词： image decolorization

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Lossy Medical image Compression U sing Huffman Coding and Singular Value Decomposition

Lossy Medical Image Compression U sing Huffman Coding and Si...

引用

21st Signal processing and communications Applications conference (SIU)

作者： Rufai, Awwal Mohammed Anbarjafari, Gholamreza Demirel, Hasan Uluslararasi Kibris Univ Elekt & Elekt Muhendisligi Bolumu Nicosia Cyprus Dogu Akdeniz Univ Elekt & Elekt Muhendisligi Bolumu Gazimagusa Cyprus

ISBN: (纸本)9781467355636;9781467355629

Medical images generate enormous amounts of data and therefore, efficient image compression techniques need to be employed in order to save on cost and time of storage and transmission respectively. In this research work, we propose a new lossy compression technique by using singular value decomposition (SVD) followed by Huffman coding. In the proposed technique firstly the image is decomposed by using SVD and then the rank is being reduced by ignoring some of the lower singular values as well as rows of hanger and aligner matrices. Then the reconstructed lossy image is being compressed again by using Huffman coding. The compression ratio is obtained by multiplication of the compression ratio achieved by using SVD with the compression ratio achieved by using Huffman coding. The proposed technique is tested on several medical images. The obtained results were also compared with those of conventional Huffman coding and JPEG2000. The quantitative and visual results are showing the superiority of the proposed compression technique over the aforementioned compression technique.

关键词： Lossy medical image compression singular value decomposition (SVD) Huffman coding

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Multi-phase Joint Reconstruction Framework for Multi-view Video Compression using Block-based Compressive Sensing

Multi-phase Joint Reconstruction Framework for Multi-view Vi...

引用

IEEE visual communications and image processing (VCIP) conference

作者： Ebrahim, Mansoor Chai, Wai Chong Sunway Univ Fac Sci & Technol Subang Jaya Selangor Malaysia

ISBN: (纸本)9781467373142

The video captured by different visual sensor in a visual sensor network is first compressed using the block-based compressive sensing algorithm. All the videos are encoded independently at different sub-rates and transmitted to a host workstation for reconstruction. Then, the proposed multi-phase joint reconstruction framework is applied to improve the reconstruction of lower subrate videos. In this case, frames extracted from higher subrate videos are used to produce some side information, which serve as prediction of the counterpart frames in lower subrate videos. Next, the difference between them at the measurement level is calculated. The difference is then added to the prediction to obtain the final reconstruction. The experimental results show that the proposed framework is able to outperform the other frameworks on average by a margin of 1dB to 2dB at different subrates on various multi-view videos.

关键词： Compressive sensing multi-view image or video visual sensor network joint decoding image or video compression

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Spatio-Temporal Coherence for 3-D View Synthesis with Curve-Based Disparity Warping

Spatio-Temporal Coherence for 3-D View Synthesis with Curve-...

引用

IEEE visual communications and image processing conference

作者： Wang, Hao Zhang, Xiaopeng Xiong, Hongkai Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China

ISBN: (纸本)9781479961399

View synthesis is dedicated to generating arbitrary views of the same scene from given inputs. As an alternative to depth-image-based rendering (DIBR), image warping based view synthesis approaches could automatically generate visually plausible virtual views in real-time. Recognizing that existing techniques would lead to temporal incoherence and shape distortions in synthesized videos, this paper proposes a novel video warping algorithm which motion saliency map and global motion from reference views are incorporated into motion-aware constraints to maintain temporal coherence in virtual views. Furthermore, a salient curve based disparity constraint is imposed to prevent shape deformations and avoid possible artifacts. Extensive experiments are validated by visual comparison, which demonstrates that the proposed algorithm outperforms existing warping-based methods.

关键词： View synthesis image warping spatio-temporal coherence motion saliency map salient curve detection

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