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检索条件"任意字段=2012 IEEE Visual Communications and Image Processing, VCIP 2012"

共 124 条记录，以下是1-10 订阅

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2012 ieee visual communications and image processing, vcip 2012

2012 IEEE Visual Communications and Image Processing, VCIP 2...

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2012 ieee visual communications and image processing, vcip 2012

ISBN: (纸本)9781467344050

The proceedings contain 131 papers. The topics discussed include: gradient-based fast decision for intra prediction in HEVC;adaptive rate control for high efficiency video coding;uniform probability model for deriving intra prediction angular table in high efficiency video coding;intra prediction based on statistical modeling of images;SEQM: edge quality assessment based on structural pixel matching;QoE analysis for scalable video adaptation;assessing photo quality with geo-context and crowdsourced photos;image registration by using a descriptor for repetitive patterns;a canonical correlation analysis based motion model for probabilistic visual tracking;a patch-based framework for detecting abnormal activities with a PTZ camera;generalized MMSD feature extraction using QR decomposition;affine skip and direct modes for efficient video coding;and compound image compression by multi-stage prediction.

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Vision Guided Compression on low-bit rate channels

Vision Guided Compression on low-bit rate channels

引用

ieee visual communications and image processing (vcip)

作者： Chai, Sek Li, Yingxue Isnardi, Michael A. Kopansky, Arkady SRI Int Sarnoff Princeton NJ USA

ISBN: (纸本)9781467344050

Full motion video (FMV) in unreliable, low-bit rate network channels suffers from quality issues such as jitter and block artifacts. In this paper, we introduce Vision Guided Compression (VGC), as a pre-processing technology that can be coupled with standards-based video coding, to provide FMV at low-bit rates. VGC utilizes computer vision algorithms to track salient features and keep them sharp, while non-salient features are lowpass filtered. With this approach, VGC provides an additional spatial parameter to gracefully tune the QoS, while providing FMV and preserving salient visual information.

关键词： real-time vision processing compression visual communications QoS

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INTUITIVE MOBILE image BROWSING ON A HEXAGONAL LATTICE

INTUITIVE MOBILE IMAGE BROWSING ON A HEXAGONAL LATTICE

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ieee visual communications and image processing (vcip)

作者： Schaefer, Gerald Tallyn, Matthew Felton, Daniel Edmundson, David Plant, William Univ Loughborough Dept Comp Sci Loughborough Leics England Aston Univ Sch Engn & Appl Sci Birmingham W Midlands England

ISBN: (纸本)9781467344050;9781467344067

Following miniaturisation of cameras and their integration into mobile devices such as smartphones combined with the intensive use of the latter, it is likely that in the near future the majority of digital images will be captured using such devices rather than using dedicated cameras. Since many users decide to keep their photos on their mobile devices, effective methods for managing these image collections are required. Common image browsers prove to be only of limited use, especially for large image sets [1].

关键词： image samples Mobile devices Cameras miniaturization HEXAGONAL LATTICES Smartphone imagery (Psychotherapy) image images Digital images Intuitive browsing Hexagon Mobile DNA Integration

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FAST AND RELIABLE NOISE ESTIMATION ALGORITHM BASED ON STATISTICAL HYPOTHESIS TESTS

FAST AND RELIABLE NOISE ESTIMATION ALGORITHM BASED ON STATIS...

引用

ieee visual communications and image processing (vcip)

作者： Jiang, Ping Zhang, Jian-Zhou Sichuan Univ Coll Comp Chengdu 610065 Sichuan Peoples R China

ISBN: (纸本)9781467344050;9781467344067

image noise estimation is a very important topic in digital image processing. This paper presents a fast and reliable noise estimation algorithm for additive white Gaussian noise (WGN). The proposed algorithm provides a way to measure the degree of image feature based on statistical hypothesis tests (SHT). Firstly, the proposed algorithm distinguishes homogeneous blocks and non-homogeneous blocks by the degree of image feature, and then sets the minimal variance of these homogeneous blocks as a reference variance. Secondly, the proposed algorithm finds more homogeneous blocks whose variances are similar to the reference variance and which are not non-homogeneous blocks. Lastly, the noise variance is estimated from these homogeneous blocks by a weighted averaging process according to the degree of image feature. Experiments show that the proposed algorithm performs well and reliably for different types of images over a large range of noise levels.

关键词： noisy image noise estimation white Gaussian noise statistical hypothesis tests

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AUTOMATIC 3-D DEPTH RECOVERY FROM A SINGLE URBAN-SCENE image

AUTOMATIC 3-D DEPTH RECOVERY FROM A SINGLE URBAN-SCENE IMAGE

引用

ieee visual communications and image processing (vcip)

作者： Tseng, Chen-yu Wang, Sheng-Jyh Natl Chiao Tung Univ Dept Elect Engn Hsinchu Taiwan

ISBN: (纸本)9781467344050

In this paper, we focus on recovering a 3-D depth map from a single image via ground-vertical boundary analysis. First, we generate a ground map from the input image based on the spectral matting method, followed by a spatial geometric inference. After that, we derive the depth information for the ground-vertical boundaries. Unlike conventional approaches which generally use plane models to reconstruct a 3-D structure that fits the estimated boundaries, we infer a dense depth map by solving a Maximum-A-Posteriori (MAP) estimation problem. In this MAP problem, we use a generalized spatial-coherence prior model based on the Matting Laplacian (ML) matrix in order to provide a more robust solution for depth inference. We demonstrate that this approach can produce more pleasant depth maps for cluttered scenes.

关键词： 3-D depth estimation Matting Laplacian

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A NOVEL CONTENT-ADAPTIVE image COMPRESSION SYSTEM

A NOVEL CONTENT-ADAPTIVE IMAGE COMPRESSION SYSTEM

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ieee visual communications and image processing (vcip)

作者： Wei, Hai Yadegar, Joseph Salemann, Leo de la Cruz, Julio Gonzalez, Hector J. UtopiaCompression Corp Los Angeles CA USA Lockheed Martin Los Angeles CA USA US Army RDECOM Los Angeles CA USA

ISBN: (纸本)9781467344050;9781467344067

This paper presents a novel content-adaptive image compression system. Utilizing a pattern-driven model, we explore the synergy between content-based analysis and compression. For a given image, disparate low-level visual patterns are automatically separated, modeled, and encoded using compact and "customized" features and parameters. The feasibility and efficiency of the proposed system were corroborated by quantitative experiments and comparisons. Since different patterns are separated and modeled explicitly during the compression, our method holds potentials for providing better support for compressed-domain analysis.

关键词： image compression compressed-domain analysis pattern-driven model classification

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A COLOR DIFFERENTIATED FUZZY C-MEANS (CDFCM) BASED image SEGMENTATION ALGORITHM

A COLOR DIFFERENTIATED FUZZY C-MEANS (CDFCM) BASED IMAGE SEG...

引用

ieee visual communications and image processing (vcip)

作者： Tsai, Min-Jen Chang, Hsuan-Shao Natl Chiao Tung Univ Inst Informat Management Hsinchu Taiwan

ISBN: (纸本)9781467344050;9781467344067

image segmentation is a very important process in digital image/video processing and computer vision applications. It is often used to partition an image into separated parts for further processes. For some applications (i.e., concept-based image retrieval), a successful segmentation algorithm is necessary to identity the objects effectively. In addition, how to tag the objects after the segmentation associated with keywords is also a challenge for researchers. In this study, we proposed a color differentiated fuzzy c-means (CDFCM) framework for effective image segmentation to achieve segmented objects within image which is useful for further annotation. In our experiments, we compared our approach with other FCM techniques on synthetic image with excellent performance. Furthermore, CDFCM outperforms other approaches by using the Berkeley image segmentation data set with layered annotation, which can be applied for additional operations.

关键词： image segmentation color differentiated fuzzy c-means (CDFCM)

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CLASSIFICATION BASED ON SPARSE REPRESENTATION AND EUCLIDIAN DISTANCE

CLASSIFICATION BASED ON SPARSE REPRESENTATION AND EUCLIDIAN ...

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ieee visual communications and image processing (vcip)

作者： Julazadeh, Ali Marsousi, Mahdi Alirezaie, Javad Ryerson Univ Dept Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9781467344050;9781467344067

In this paper, A novel classification approach based on sparse representation framework is proposed. The method finds the minimum Euclidian distance between an input patch (pattern) and atoms (templates) of a learnt-base dictionary for different classes to perform the classification task. A mathematical approach is developed to map the sparse representation vector to Euclidian distances. We show that the highest coefficient of the sparse vector is not necessarily a suitable indicator to classify input patches, and it results in classification errors. The K-SVD dictionary learning method is utilized to separately create class specific sub-dictionaries. The proposed algorithm is compared with the conventional sparse representation classification (SRC) framework to evaluate its performance. Our experimental results demonstrate a higher accuracy with a lower computational time.

关键词： image classification sparse representation dictionary learning Euclidian distance

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WAVELET DOMAIN image SUPER-RESOLUTION FROM DIGITAL CINEMA TO ULTRAHIGH DEFINITION TELEVISION BY DIVIDING NOISE COMPONENT

WAVELET DOMAIN IMAGE SUPER-RESOLUTION FROM DIGITAL CINEMA TO...

引用

ieee visual communications and image processing (vcip)

作者： Matsuo, Yasutaka Iwasaki, Shinya Yamamura, Yuta Katto, Jiro Waseda Univ Dept Comp Sci & Engn Tokyo Japan

ISBN: (纸本)9781467344050;9781467344067

We propose a novel wavelet domain image super-resolution method from digital cinema to ultrahigh definition television considering cinema noise component. The proposed method features that spatial resolution of an original image is expanded by synthesis of super-resolved signal and noise components respectively after dividing an original image into signal and noise components. Dividing noise component uses spatio-temporal wavelet decomposition based on frequency spectrum analysis of cinema noise. And super-resolution parameters are optimized by comparing size-reduced super-resolution images with an original image. Experimental results showed that a super-resolution image using the proposed method has a subjectively better appearance and an objectively better peak signal-to-noise ratio measurement than conventional methods.

关键词： image super-resolution digital cinema ultrahigh definition television wavelet noise component

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COMBINATION OF SSIM AND JND WITH CONTENT-TRANSITION CLASSIFICATION FOR image QUALITY ASSESSMENT

COMBINATION OF SSIM AND JND WITH CONTENT-TRANSITION CLASSIFI...

引用

ieee visual communications and image processing (vcip)

作者： Hsu, Ming-Chung Wu, Guan-Lin Chien, Shao-Yi Natl Taiwan Univ Grad Inst Elect Engn Media IC & Syst Lab Taipei Taiwan

ISBN: (纸本)9781467344050;9781467344067

image quality assessment (IQA) is a crucial feature of many image processing algorithms. The state-of-the-art IQA index, the structural similarity (SSIM) index, has been able to accurately predict image quality by assuming that the human visual system (HVS) separates structural information from nonstructural information in a scene. However, the precision of SSIM is relatively lacking when used to access blurred images. This paper proposes a novel metric of image quality assessment, the JND-SSIM, which adopts the just-noticeable difference (JND) algorithm to differentiate between plain, edge, and texture blocks and obtain a visibility threshold map. Based on varying block transition types between the reference and distorted image, SSIM values are assigned respective weights and scaled down by visibility threshold map. We then test our algorithm on the LIVE and TID image Quality Database, thereby demonstrating that our improved IQA index is much closer to human opinion.

关键词： SSIM JND HVS IQA CSF

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