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2016 6th European Workshop on Visual Information Processing (EUVIP)最新文献

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An illuminant-independent analysis of reflectance as sensed by humans, and its applicability to computer vision 一种与光源无关的反射分析方法，可被人类感知，并适用于计算机视觉
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-25 DOI: 10.1109/EUVIP.2016.7764601
Alban Flachot, E. Provenzi, J. O'Regan
{"title":"An illuminant-independent analysis of reflectance as sensed by humans, and its applicability to computer vision","authors":"Alban Flachot, E. Provenzi, J. O'Regan","doi":"10.1109/EUVIP.2016.7764601","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764601","url":null,"abstract":"Philipona & O'Regan (2006) [1] recently proposed a linear model of surface reflectance as it is sensed by the human eyes. In their model, the tristimulus response to reflected light is accurately approximated by a linear transformation of the tristimulus response to illumination, allowing the prediction of several perceptual characteristics of human vision. Later, Vazquez-Corral et al (2012) [2] built a bridge between Philipona & O'Regan's model and von Kries-like approaches to color constancy in computer vision by showing that the linear operators could be diagonalized in a common basis. However both of these studies required specifying a particular dataset of illuminants. We will show in this paper that it is possible to compute adequate linear operators and a common basis for diagonalization without specifying any particular set of illuminants.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131748382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Heuristic inspired search method for fast wedgelet pattern decision in 3D-HEVC 3D-HEVC中楔形图案快速决策的启发式搜索方法
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764607
Sami Jaballah, M. Larabi, J. B. Tahar
{"title":"Heuristic inspired search method for fast wedgelet pattern decision in 3D-HEVC","authors":"Sami Jaballah, M. Larabi, J. B. Tahar","doi":"10.1109/EUVIP.2016.7764607","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764607","url":null,"abstract":"The 3D High Efficiency Video Coding (3D-HEVC) is the latest 3D extension of the HEVC video coding standard. It supports multi-view videos plus depth (MVD), which is a sophisticated format for enhanced 3D content. Depth modeling modes (DMM) are adopted in the 3D-HEVC for better sharp edge encoding. However, employing DMM causes important computational complexity. In this paper, we propose a new method for fast wedgelet pattern decision in 3D-HEVC. In order to avoid unnecessary evaluation of the DMMs, a new early termination based on the smoothness of the current block is adopted. Besides, based on the shuffled frog leaping algorithm, a new heuristic method to search the optimal wedgelet pattern for DMM1 Depth mode is introduced. The proposed algorithm outperforms the HTM16.0 implemented scheme in terms of encoding time with similar coding efficiency.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125432632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
An image resampling method using combined directional kernels 一种基于组合方向核的图像重采样方法
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764602
A. Nasonov, A. Krylov, Konstantin Chesnakov
{"title":"An image resampling method using combined directional kernels","authors":"A. Nasonov, A. Krylov, Konstantin Chesnakov","doi":"10.1109/EUVIP.2016.7764602","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764602","url":null,"abstract":"A new edge-directional image resampling method is proposed. The method uses a weighted sum of two adaptive 4x4 interpolation kernels to construct high-resolution pixels. The weights are chosen according to the local gradient features for each pixel. The interpolation kernels are learned using pairs of low- and high-resolution images taken from LIVE image database. The method has low complexity and low memory consumption. It outperforms existing fast edge-directional image interpolation methods.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126713088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Offline text independent writer identification using ensemble of multi-scale local ternary pattern histograms 基于多尺度局部三元模式直方图集成的离线文本独立作者识别
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764587
F. Khan, M. Tahir, F. Khelifi, A. Bouridane
{"title":"Offline text independent writer identification using ensemble of multi-scale local ternary pattern histograms","authors":"F. Khan, M. Tahir, F. Khelifi, A. Bouridane","doi":"10.1109/EUVIP.2016.7764587","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764587","url":null,"abstract":"Handwriting has been known to be a very strong identifying characteristic of an individual and can be considered a behavioural biometric trait. This has made hand writer identification an important area of research. In this paper, a novel offline writer identification system is proposed using ensemble of multi-scale local ternary pattern histogram features. Features are extracted at multiple scales and the resulting feature histograms are subjected to dimensionality reduction via kernel discriminant analysis using spectral regression (SRKDA). Feature vectors extracted at every scale are used to generate models for all writers which are then used to identify a query document. The final decision on the identity of the unknown query document is obtained using majority voting from the generated models. The proposed system has been assessed on two challenging databases (Arabic and English) and the results show that it outperforms the current state of the art systems.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128124926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Multi-scale image denoising while preserving edges in sparse domain 多尺度图像去噪，同时在稀疏域保持边缘
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764583
Srimanta Mandal, S. Kumari, A. Bhavsar, A. Sao
{"title":"Multi-scale image denoising while preserving edges in sparse domain","authors":"Srimanta Mandal, S. Kumari, A. Bhavsar, A. Sao","doi":"10.1109/EUVIP.2016.7764583","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764583","url":null,"abstract":"Image denoising is a classical and fundamental problem in image processing community. An important challenge in image denoising is to preserve image details while removing noise. However, most of the approaches depend on smoothness assumption of natural images to produce results with smeared edges, hence, degrading the quality. To address this concern, we propose two constraints to better preserve the edges while denoising the image via the sparse representation framework. The first constraint attempts to preserve the edges at the coarser scales of the image as the level of noise drop dramatically at coarser scales. Different levels of scales are considered to account different strength of noise. The second constraint prevents transitional smoothing by preserving the edges of intermediate image estimates across iterations. Experimental results demonstrate the ability of the proposed approach in removing noise while preserving edges in comparison to the state-of-the art approaches.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127819336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Visual system inspired algorithm for contours, corner and T-junction detection 基于视觉系统的轮廓、角点和t形交界处检测算法
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764586
A. Buades, R. G. V. Gioi
{"title":"Visual system inspired algorithm for contours, corner and T-junction detection","authors":"A. Buades, R. G. V. Gioi","doi":"10.1109/EUVIP.2016.7764586","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764586","url":null,"abstract":"We introduce a new algorithm for contour detection including the identification of corners and T-junctions. The proposed model is inspired by the early stages of the mammal visual system. This strategy incorporates the detection of corners and T-junctions as part of the process interacting with contour detection.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123510586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Salience invariance with divisive normalization in higher-order insect neurons 高阶昆虫神经元分裂归一化的显著不变性
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764588
B. Evans, D. O’Carroll, S. Wiederman
{"title":"Salience invariance with divisive normalization in higher-order insect neurons","authors":"B. Evans, D. O’Carroll, S. Wiederman","doi":"10.1109/EUVIP.2016.7764588","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764588","url":null,"abstract":"We present a biologically inspired model for estimating the position of a moving target that is invariant to the target's contrast. Our model produces a monotonic relationship between position and output activity using a divisive normalization between the `receptive fields' of two overlapping, wide-field, small-target motion detector (STMD) neurons. These visual neurons found in flying insects, likely underlie the impressive ability to pursue prey within cluttered environments. Individual STMD responses confound the properties of target contrast, size, velocity and position. Inspired by results from STMD recordings we developed a model using a division operation to overcome the inherent positional ambiguities of integrative neurons. We used genetic algorithms to determine the plausibility of such an operation arising and existing over multiple generations. This method allows the lost information to be recovered without needing additional neuronal pathways.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Rank estimation of parafac reducing both signal-dependent and signal-independent noise in hyperspectral image for target detection 对高光谱图像进行秩估计，以降低与信号无关的噪声和依赖于信号的噪声
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764591
Fu Min, Xuefeng Liu, S. Bourennane, C. Fossati
{"title":"Rank estimation of parafac reducing both signal-dependent and signal-independent noise in hyperspectral image for target detection","authors":"Fu Min, Xuefeng Liu, S. Bourennane, C. Fossati","doi":"10.1109/EUVIP.2016.7764591","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764591","url":null,"abstract":"One of the most important applications of hyperspectral im- age (HSI) is target detection which aims to detect the pres- ence of a signal of interest embedded in noise. This paper shows that both the signal-dependent (SD) and the signal- independent (SI) noise can be removed by applying a multi- linear algebra decomposition, namely the parallel factor anal- ysis (PARAFAC) decomposition, but the rank estimation of PARAFAC decomposition is time consuming. By analyzing the relationship between the rank value of PARAFAC decom- position and the target detection results, the initial value of the iteration to estimate the optimal rank can be set appro- priately instead of the cycle from 1 to start. The simulaitons show that the computing time can be reduced significantly by using this initialization strategy without affecting the target detection results.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132409435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving block-matching algorithm by selecting disparity sets minimizing distortion for stereoscopic image coding 通过选取视差集使立体图像编码失真最小的方法改进块匹配算法
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764593
Aysha Kadaikar, G. Dauphin, Anissa Zergaïnoh-Mokraoui
{"title":"Improving block-matching algorithm by selecting disparity sets minimizing distortion for stereoscopic image coding","authors":"Aysha Kadaikar, G. Dauphin, Anissa Zergaïnoh-Mokraoui","doi":"10.1109/EUVIP.2016.7764593","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764593","url":null,"abstract":"This paper deals with the blockwise disparity map estimation problem for stereoscopic image coding. Generally, disparities are selected amongst a search area by minimizing a local distortion. In addition the larger the search area is, the more often a better disparity can be chosen and the lower the global distortion is. However, the resulting disparity map containing higher number of idfferent disparities is encoded with a larger bitrate. This paper proposes two approaches to take advantage of large search areas while reducing not only the bitrate of the estimated disparity map but also the computational complexity of the optimal solution. The developed sub-optimal algorithms rely on the initial set of disparities selected by the traditional Block-Matching Algorithm (BMA) to compute new sets minimizing the distortion of the predicted view under a bitrate constraint. Simulation results confirm the benefits of our algorithms compared to the BMA in terms of bitrate-distortion.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116616746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Biologically-inspired characterization of sparseness in natural images 自然图像中稀疏性的生物学特征
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764592
Laurent Udo Perrinet
{"title":"Biologically-inspired characterization of sparseness in natural images","authors":"Laurent Udo Perrinet","doi":"10.1109/EUVIP.2016.7764592","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764592","url":null,"abstract":"Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of this structure is that images can be described by a relatively sparse number of features. We designed a sparse coding algorithm biologically-inspired by the architecture of the primary visual cortex. We show here that coefficients of this representation exhibit a power-law distribution. For each image, the exponent of this distribution characterizes sparseness and varies from image to image. To investigate the role of this sparseness, we designed a new class of random textured stimuli with a controlled sparseness value inspired by measurements of natural images. Then, we provide with a method to synthesize random textures images with a given sparseness statistics that match that of some class of natural images and provide perspectives for their use in neurophysiology.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"71 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122689895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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