Proceedings / ICIP ... International Conference on Image Processing (Image Process)

Publications in this journal

• Conference Proceeding: Improving the parallelization efficiency of HEVC decoding

  Chi Ching Chi, Mauricio Alvarez-Mesa, Ben Juurlink, Valeri George, Thomas Schierl
  Image Processing (ICIP), 2012 19th IEEE International Conference on; 01/2012
• Article: SEMI-SUPERVISED OBJECT RECOGNITION USING STRUCTURE KERNEL.

  Botao Wang, Hongkai Xiong, Xiaoqian Jiang, Fan Ling
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  ABSTRACT: Object recognition is a fundamental problem in computer vision. Part-based models offer a sparse, flexible representation of objects, but suffer from difficulties in training and often use standard kernels. In this paper, we propose a positive definite kernel called "structure kernel", which measures the similarity of two part-based represented objects. The structure kernel has three terms: 1) the global term that measures the global visual similarity of two objects; 2) the part term that measures the visual similarity of corresponding parts; 3) the spatial term that measures the spatial similarity of geometric configuration of parts. The contribution of this paper is to generalize the discriminant capability of local kernels to complex part-based object models. Experimental results show that the proposed kernel exhibit higher accuracy than state-of-art approaches using standard kernels.
  Proceedings / ICIP ... International Conference on Image Processing 01/2012;
• Conference Proceeding: Real-time diabetic retinopathy patient screening using multiscale AM-FM methods

  V Murray, C Agurto, S Barriga, M S Pattichis, P Soliz
  Image Processing (ICIP), 2012 19th IEEE International Conference on; 01/2012
• Conference Proceeding: Contrast enhancement and denoising of Poisson and Gaussian mixture noise for solar images

  Bojana Begovic, Vladimir Stankovic, Lina Stankovic
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  ABSTRACT: Processing of solar image data has become increasingly important for accurate space weather prediction and expanding our understanding about the Sun and Universe. To enable proper analysis, image denoising and contrast enhancement are essential for removal of all artifacts introduced within the acquisition process. Hence, this paper focuses on these two tasks applied on solar images corrupted with pixel dependent Poisson and zero-mean additive Gaussian noise. The denoising frameworks are build upon on two state-of-the-art techniques, K-SVD and BM3D (for natural images) where contrast enhancement of noisy solar images is performed jointly with noise removal using sparse coding adaptive dictionary learning. Results are given for two conventional sets of solar images.
  Image Processing (ICIP), 2011 18th IEEE International Conference on; 10/2011
• Article: FAST EDGE-FILTERED IMAGE UPSAMPLING.

  Shantanu H Joshi, Antonio L Marquina, Stanley J Osher, Ivo Dinov, Arthur W Toga, John D Van Horn
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  ABSTRACT: We present a novel edge preserved interpolation scheme for fast upsampling of natural images. The proposed piecewise hyperbolic operator uses a slope-limiter function that conveniently lends itself to higher-order approximations and is responsible for restricting spatial oscillations arising due to the edges and sharp details in the image. As a consequence the upsampled image not only exhibits enhanced edges, and discontinuities across boundaries, but also preserves smoothly varying features in images. Experimental results show an improvement in the PSNR compared to typical cubic, and spline-based interpolation approaches.
  Proceedings / ICIP ... International Conference on Image Processing 09/2011;
• Article: FAST PROTECTION OF H. 264/AVC BY REDUCED SELECTIVE ENCRYPTION OF CAVLC

  Loïc Dubois, William Puech, Jacques Blanc-Talon
  Proceedings / ICIP ... International Conference on Image Processing 08/2011;
• Conference Proceeding: Cascaded active learning for object retrieval using multiscale coarse to fine analysis

  Pierre Blanchart, M. Ferecatu, Mihai Datcu
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  ABSTRACT: In this paper, we describe an active learning scheme which performs coarse to fine testing using a multiscale patch-based representation of images to retrieve objects in large satellite image repositories. The proposed hierarchical top-down approach reduces step by step the size of the analysis window, eliminating each time large parts of the images considered as non-relevant.
  ICIP 2011; 01/2011
• Source

  Available from: edu.cn

  Conference Proceeding: Improved human detection and classification in thermal images

  Weihong Wang, Jian Zhang, Chunhua Shen
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  ABSTRACT: We present a new method for detecting pedestrians in thermal images. The method is based on the Shape Context Descriptor (SCD) with the Adaboost cascade classifier framework. Compared with standard optical images, thermal imaging cameras offer a clear advantage for night-time video surveillance. It is robust on the light changes in day-time. Experiments show that shape context features with boosting classification provide a significant improvement on human detection in thermal images. In this work, we have also compared our proposed method with rectangle features on the public dataset of thermal imagery. Results show that shape context features are much better than the conventional rectangular features on this task.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: Benchmark face detection using a face recognition database

  Gee-Sern Hsu, Thu Ha Tran, Sheng-Lun Chung
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  ABSTRACT: A framework is proposed to generate datasets good for benchmarking face detection using database meant for benchmarking face recognition. Instead of the common way of collecting images manually, the datasets from the proposed framework are made by a synthesis process with two phases: intrinsic parameterization and extrinsic parameterization. The former parameterizes the intrinsic variables that affect the appearance of a face, while the latter parameterizes the extrinsic variables that dominate how faces appear on background images as required by a test criterion. Experiments reveal that the proposed framework can generate test samples similar to those available from a popular face detection database, and also samples unavailable from existing face databases.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: Extracting corner-cue feature to improve minutiae-matching accuracy

  Jiajia Lei, Xinge You, Long Zhou, Wu Zeng
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  ABSTRACT: This paper proposes a new feature of fingerprint, called corner-cue. It is based on the curvature of fingerprint ridges. To extract the corner-cue, we first compute the curvature of fingerprint ridges and find the local maximum curvature points. Without regard to the high curvature points near minutiae, corner-cues are obtained. Corner-cues are further utilized in the matching stage to enhance the system's performance. Since high curvature points are important features of a fingerprint, the proposed method can obtain better results than conventional solely minutiae-based methods. Experimental results illustrate its effectiveness.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: Iterative embedding-based reversible watermarking for 2D-vector maps

  Liujuan Cao, Chaoguang Men, Xiang Li
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  ABSTRACT: Reversible watermarking aims to restore the original data after watermark extraction, which is more suitable for copyright protection of 2D-vector maps. In this paper, we present a reversible watermarking strategy for 2D-vector maps based on iterative embedding. It begins with vertex grouping of each polyline. Then only the highly correlated data sets are selected as the cover data for iterative embedding. Finally, the iterative embedding is carried out by reversibly modifying the median vertex coordinates of each selected embedding unit. The original vector data can be strictly recovered with accurate watermark extraction. Meanwhile, both higher payload capacity and better invisibility are proved through both theoretical analysis and comprehensive experimental validations. Experimental results show that the proposed reversible watermarking method is very suitable for 2D-vector map copyright protection and secret communication.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: Spatial and spectral dependance co-occurrence method for multi-spectral image texture classification

  R. Khelifi, M. Adel, S. Bourennane
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  ABSTRACT: This paper deals with the development of a new texture analysis method based on both spatial and spectral information for texture classification purposes. The idea of the Spatial and Spectral Gray Level Dependence Method (SSGLDM) is to extend the concept of spatial gray level dependence method by assuming texture joint information between spectral bands. In addition, new texture features measurement related to (SSGLDM) which define the image properties have been also proposed. Extensive experiments have been carried out on many multi-spectral images for use in prostate cancer diagnosis and quantitative results showed the efficiency of this method compared to the Gray Level Co-occurrence Matrix (GLCM). The results indicate a significant improvement in classification accuracy.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: Motion based low complexity algorithm for spatial scalability of H.264/SVC

  T. Katayama, T. Hamamoto, Tian Song, T. Shimamoto
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  ABSTRACT: In this paper, we propose an improved low complexity algorithm for spatial scalability of H.264/SVC on the basis of the motions in the sequences. First, verification is performed to confirm the redundancy of the previous motion estimation process of H.264/SVC. Then, based on the evaluation results we propose an improved algorithm for our previous work which only focuses on the complexity reduction of enhancement layer. The proposed algorithm can decrease the computation complexity of the base layer using the features of the hierarchical B-picture structure. The proposed algorithm is evaluated using reference software JSVM. The simulation results show that the proposed algorithm can achieve over 90% computation complexity reduction comparing to the original JSVM algorithm. When it is compared with our previous works and some other previous works, 10% complexity reduction and over 27% time saving have been achieved, respectively.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Source

  Available from: illinois.edu

  Conference Proceeding: Video retargeting with nonlinear spatial-temporal saliency fusion

  Taoran Lu, Zheng Yuan, Yu Huang, Dapeng Wu, Heather Yu
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  ABSTRACT: Video retargeting (resolution adaptation) is a challenging problem for its highly subjective nature. In this paper, a nonlinear saliency fusing approach, that considers human perceptual characteristics for automatic video retargeting, is being proposed. First, we incorporate features from phase spectrum of quaternion Fourier Transform (PQFT) in spatial domain and global motion residual based on matched feature points by the Kanade-Lucas-Tomasi (KLT) tracker in temporal domain. In addition, under a cropping-and-scaling retargeting framework, we propose content-aware information loss metrics and a hierarchical search to find optimal cropping window parameters. Results show the success of our approach on detecting saliency regions and retargeting on images and videos.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: An automatic vehicle detection method based on traffic videos

  Qiong Cao, Rujie Liu, Fei Li, Yuehong Wang
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  ABSTRACT: A vision-based vehicle detection method is presented in this paper. The proposed method is composed of two steps, i.e., hypothesis generation and hypothesis verification. An adaptive background modeling and updating method is proposed to detect foreground regions in video sequences. With the prior knowledge of the vehicle appearance, the possible vehicle locations are extracted from the foreground regions and the touched vehicles are separated. Finally, hypothesized regions are verified by comparing their appearances with vehicle model. The performance of the proposed method is verified on videos captured under versatile conditions, and good results are achieved even in heavy traffic conditions.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: Multivariate statistical modeling of images in sparse multiscale transforms domain

  L. Boubchir, A. Nait-Ali, E. Petit
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  ABSTRACT: In this paper, we propose a multivariate statistical model to characterize the inter- and intra-scale dependencies between image coefficients in the oriented and non-oriented sparse multiscale transforms domain. Our proposed model, namely the Multivariate Bessel K Form, is based on multivariate extension of Bessel K Form distribution. To establish this model in practice, we propose an analytical form of PDF and then estimate its hyperparameters. Also, we compared it to the other models proposed in literature such as the Anisotropic Multivariate Generalized Gaussian and the Jeffrey models, in order to demonstrate its capabilities to capture the inter- and intra-scale dependencies between image detail coefficients.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
• Conference Proceeding: Improved single image dehazing using segmentation

  Shuai Fang, Jiqing Zhan, Yang Cao, Ruizhong Rao
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  ABSTRACT: In the hazy weather, the image of outdoor scene is degraded by suspended particles. Scattering and absorption hinder scene radiance and bring in environment light into camera. In this work, a novel algorithm is introduced to restore the clear day image by the segmented hazy image. First, the existing visibility restoration model is analyzed and a conclusion is drawn that the model will violate the contrast enhancement constraint in some specific situations. Next, the graph-based image segmentation method is applied to segment the hazed image by choosing the optimal parameter. Then, the transmission maps prior are obtained according to the blackbody theory. After that, a bilateral filter is designed to amend the transmission map, which can make up the deficiency of restoration model and ensure the transmission map smooth under the contrast enhancement constraint. Last, the experimental results show that the method achieves rather good dehazing results.
  Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010