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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11-20 订阅

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INFERRING USER image-SEARCH GOALS BY MINING QUERY LOGS WITH SEMI-SUPERVISED SPECTRAL CLUSTERING

INFERRING USER IMAGE-SEARCH GOALS BY MINING QUERY LOGS WITH ...

引用

ieee visual communications and image processing (vcip)

作者： Lu, Zheng Yang, Xiaokang Lin, Weiyao Chen, Xiaolin Zha, Hongyuan Shanghai Jiao Tong Univ Dept Elect Engn Insitute Image Commun & Informat Proc Shanghai 200030 Peoples R China Georgia Inst Technol College Comp Atlanta GA USA

ISBN: (纸本)9781467344050;9781467344067

Inferring user search goals for a query can be very useful in improving search engine relevance and user experience. Although the research on analyzing user goals or intents for text search has received much attention, little has been proposed for image search. In this paper, we propose a novel approach to infer user search goals in image search by mining search engine query logs with semi-supervised spectral clustering. We combine the visual information of the clicked images with user click information by using graph-based models and then cluster the images with spectral clustering to capture user image-search goals. Experimental results based on a popular commercial search engine demonstrate the effectiveness of the proposed method.

关键词： image-search goals semi-supervised clustering spectral clustering

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A WIRELESS VIDEO SURVEILLANCE SYSTEM WITH AN ACTIVE CAMERA

A WIRELESS VIDEO SURVEILLANCE SYSTEM WITH AN ACTIVE CAMERA

引用

ieee visual communications and image processing (vcip)

作者： Ye, Yun Ci, Song Liu, Yanwei Wu, Dalei Wang, Haohong Katsaggelos, Aggelos K.

ISBN: (纸本)9781467344050;9781467344067

This paper introduced a camera surveillance system in wireless communications. The system contains three major modules, PTU (pan-tilt unit) camera control for surveillance video capture, cross-layer control for data compression and transmission, and error concealment for video quality enhancement. Our contribution is twofold. First, a system design for data collection and transmission over wireless networks is presented and is evaluated with physical surveillance equipments. The camera is capable of following the moving target according to the control information. The end-to-end distortion estimation in the delay constrained video coding process takes into account the dynamic channel condition and physical layer modulation and coding scheme (MCS) to determine optimal coding and transmission parameters. Second, multiple error concealment strategies, including interleaving, boundary match and video up-sampling, are applied utilizing the special property of the PTU camera motion.

关键词： Camera control video surveillance wireless communications error concealment

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HUMAN ATTENTION REGION-OF INTEREST IN I-FRAME FOR VIDEO CODING

HUMAN ATTENTION REGION-OF INTEREST IN I-FRAME FOR VIDEO CODI...

引用

ieee visual communications and image processing (vcip)

作者： N'guessan, Sylvia O. Ling, Nam Santa Clara Univ Dept Comp Engn Santa Clara CA 95053 USA

ISBN: (纸本)9781467344050;9781467344067

We propose a new scheme that exploits characteristics of motion vectors combined with luminance contrast to automatically detect human attention regions of interest (HAROIs) in every I-frame or intra-coded blocks in a group of pictures (GOP). These HAROIs can then be used for adaptive quantization. Motion vectors information is collected before the encoding phase. Our ultimate goal is to obtain a generic HAROI detection scheme of relatively low additional complexity per I-frame that can be used to improve compression while maintaining video quality and perception. Experimental results show consistency between actual human attention regions and the most relevant regions identified by our algorithm. Our algorithm also produces better compression of I-frames while improving both peak-signal-to-noise ratio (PSNR) and structural similarity (SSIM).

关键词： video coding visual communications human attention model region-of-interest motion vectors contrast quantization

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image REGISTRATION BY USING A DESCRIPTOR FOR REPETITIVE PATTERNS

IMAGE REGISTRATION BY USING A DESCRIPTOR FOR REPETITIVE PATT...

引用

ieee visual communications and image processing (vcip)

作者： Ha, Seong Jong Kim, Seyun Cho, Nam Ik Seoul Natl Univ Dept EECS INMC Seoul South Korea

ISBN: (纸本)9781467344050;9781467344067

This paper proposes a new feature-based image registration method based on the description of feature clusters. This method can find larger number of correspondences than the conventional methods using singleton feature descriptors, which often fail in repetitive patterns. The reason for the failure of conventional methods in a repeating pattern is due to the existence of too many similar features, which in turn gives geometrically inconsistent matching or do not survive ratio test. Hence the proposed method follows the strategy that first separate the similar features from the repetitive patterns from the others. Then the similar features in a pattern are grouped into a set that is described by a support vector descriptor in terms of the cluster's center and radius. Once the same pattern in different images are matched, the geometric cue is added to find many geometrically consistent correspondences of the features. In the experiments, it has been demonstrated that the larger number of geometrically consistent correspondences from the repetitive pattern give more accurate registration, and thus more pleasing results in image stitching and panoramic image generation.

关键词： image registration repetitive pattern

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AN ADAPTIVE COVARIANCE-BASED EDGE DIFFUSION image ENLARGEMENT METHOD

AN ADAPTIVE COVARIANCE-BASED EDGE DIFFUSION IMAGE ENLARGEMEN...

引用

ieee visual communications and image processing (vcip)

作者： Fan, Tao Zhao, Haiwu Wang, Guozhong Chen, Jianwen Xu, Feng Villasenor, John Shanghai Univ Sch Commun & Informat Engn Shanghai 200072 Peoples R China Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

ISBN: (纸本)9781467344050;9781467344067

We discuss image or video enlargement methods aimed at computationally constrained environments. Traditional enlargement algorithms such as linear or cubic interpolation have been applied in many applications. However the performance of these approaches is limited by artifacts such as blurring and jagged edges. More sophisticated iterative and learning-based algorithms have been proposed to address these issues, but they typically involve very high computational complexity. We present an adaptive covariance-based edge diffusion (ACED) image enlargement method that offers both good performance and low complexity. Different from other edge-directed interpolation algorithms, the proposed method uses combination of a novel edge-directed judgment which can choose different spread templates adaptively to estimate local covariance coefficients and edge diffusion to reduce artifacts. Experimental results show that the proposed method gives performs well both in terms of subjective quality as well as objective measures.

关键词： Video Enlarge Video processing Web TV Convergence

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COMPOUND image COMPRESSION BY MULTI-STAGE PREDICTION

COMPOUND IMAGE COMPRESSION BY MULTI-STAGE PREDICTION

引用

ieee visual communications and image processing (vcip)

作者： Zhu, Weijia Ding, Wenpeng Xiong, Ruiqin Shi, Yuhui Yin, Baocai Beijing Univ Technol Beijing Key Lab Multimedia & Intelligent Software Beijing Peoples R China Peking Univ Sch Elect Engn & Comp Sci Beijing Peoples R China

ISBN: (纸本)9781467344050;9781467344067

Computer generated compound images contain not only photographic images but also text and graphics images, which makes it difficult to be efficiently compressed using exiting image and video coding standards. This paper presents a new compound image coding scheme based on the intra coding framework of the upcoming high efficiency video coding (HEVC) standard. The proposed scheme first decomposes the compound image into color components and structure components. Then two-stage prediction scheme is employed to exploit the correlation among structure components, where the first prediction is generated by directional prediction and second prediction is generated by template matching. Experimental results show that the proposed scheme achieves up to 10.2 dB coding gain on compound images compared with HEVC. And on average it achieves 42.2 percent bitrate saving compared with HEVC.

关键词： Compound images High efficiency video coding local correlation directional prediction

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SPARSE REPRESENTATION OF TEXTURE PATCHES FOR LOWBIT-RATE image COMPRESSION

SPARSE REPRESENTATION OF TEXTURE PATCHES FOR LOWBIT-RATE IMA...

引用

ieee visual communications and image processing (vcip)

作者： Xu, Mai Lu, Jianhua Zhu, Wenwu Tsinghua Univ Dept Elect Engn Beijing Peoples R China Tsinghua Univ Dept Comp Sci Tsinghua Peoples R China Univ Shenzhen Res Inst Tsinghua EDA Lab Shenzhen Peoples R China

ISBN: (纸本)9781467344050;9781467344067

This paper proposes a sparse representation based approach for low bit-rate image compression using the learnt over-complete dictionary of texture patches. We first propose to compress each patch of the image with sparse and compressible linear combinations (via nonzero coefficients) of texture patterns encoded in a dictionary for image patches. Then, we find out that the compressibility and sparsity of coefficients can be achieved by the proposed recursive procedure of solving l(1) optimization problem of sparse representation. Moreover, rather than transform-based patterns (e. g. DCT), we explore the basic texture patterns from other training images with a learning algorithm based on the gradient descent, to form the over-complete dictionary. The experimental results demonstrate the effectiveness of the proposed approach.

关键词： image compression

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A NOVEL NO-REFERENCE image QUALITY ASSESSMENT METRIC BASED ON STATISTICAL INDEPENDENCE

A NOVEL NO-REFERENCE IMAGE QUALITY ASSESSMENT METRIC BASED O...

引用

ieee visual communications and image processing (vcip)

作者： Chu, Ying Mou, Xuanqin Hong, Wei Ji, Zhen Xi An Jiao Tong Univ Sch Elect & Informat Engn Inst Image Proc & Pattern Recognit Xian 710049 Peoples R China Shenzhen Univ Texas Instruments DSPs Lab Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China

ISBN: (纸本)9781467344050;9781467344067

No-reference image quality assessment (NR IQA) has wide applicability to many problems. This paper focuses on the mechanism of divisive normalization transform (DNT) which simulates the behavior of visual cortex neurons to extract the independent components of natural images, analyzes the difference between the statistics of neighboring DNT coefficients of the images of a variety of distortion, and proposes a novel solution for NR IQA metric design. We demonstrate that measuring the statistical independence between neighboring DNT coefficients could provide features useful for quality assessment. The performance of the proposed method is quite satisfactory when it was tested on the popular LIVE, CSIQ and TID2008 databases. The experimental results are fairly competitive with the existing NR IQA metrics.

关键词： image quality assessment no-reference statistical independence divisive normalization transform support vector regression

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SEGMENTATION-BASED VIEW SYNTHESIS FOR THREE-DIMENSIONAL VIDEO

SEGMENTATION-BASED VIEW SYNTHESIS FOR THREE-DIMENSIONAL VIDE...

引用

ieee visual communications and image processing (vcip)

作者： Loghman, Maziar Kim, Joohee IIT Dept Elect & Comp Engn Chicago IL 60616 USA

ISBN: (纸本)9781467344050;9781467344067

This paper investigates the use of segmentation in view synthesis for three-dimensional video. View synthesis is the process of generating novel views of a scene, using a set of views as the reference. Recently, several techniques that use depth maps for rendering virtual views have been suggested. However, inaccuracy in depth maps causes annoying visual artifacts in depth-based view synthesis. This paper presents an efficient depth image-based rendering technique based on segmentation using multi-level thresholding. In the proposed algorithm, first all the images are segmented according to the depth and the pixels belonging to different objects are warped and blended independently. Based on multi-level thresholding, an algorithm for finding the ghost contour pixels is provided which simplifies the computations. A novel inpainting method for disocclusions has been introduced which uses the segmented images to find the associated background boundary pixels. The experimental results show that the proposed algorithm improves the PSNR of the synthesized views up to 0 : 6 8 dB for the multi-view video test sequences and eliminates the annoying visual artifacts.

关键词： 3-D video view synthesis depth image-based rendering segmentation inpainting

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DISCRIMINATIVE STRUCTURED SET PREDICTION MODELING WITH MAX-MARGIN MARKOV NETWORK FOR OPTIMAL LOSSLESS image CODING

DISCRIMINATIVE STRUCTURED SET PREDICTION MODELING WITH MAX-M...

引用

ieee visual communications and image processing (vcip)

作者： Dai, Wenrui Xiong, Hongkai Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China

ISBN: (纸本)9781467344050;9781467344067

In this paper, we investigate and propose a novel prediction model for loss less image coding in which the optimal correlated prediction for block of pixels are simultaneously obtained in the sense of the least code length. It not only utilizes the spatial statistical correlation for the optimal prediction directly based on 2-D contexts, but also formulates the data-driven structural interdependencies to make the prediction err or coherent with the underlying probability distribution for coding. Besides the discriminative adaptive pixel-wise prediction, the Markov network is adaptively derived to maintain the coherence of prediction in the blocks and seek the concurrent optimization of set of prediction by relating the loss function to actual code length. The prediction error is shown to be asymptotically upper bounded by the training error under the decomposable loss function. For validation, we apply the proposed model into loss less image coding and experimental results show that the proposed scheme outperforms the best prediction scheme reported.

关键词： Structured set prediction model max-margin Markov network lossless image coding

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