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2011 Sixth International Conference on Image and Graphics最新文献

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Graph Partition Based Bundle Adjustment for Structured Dataset 基于图分区的结构化数据集束调整
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.97
Yuanfan Xie, Lixin Fan, Yihong Wu
{"title":"Graph Partition Based Bundle Adjustment for Structured Dataset","authors":"Yuanfan Xie, Lixin Fan, Yihong Wu","doi":"10.1109/ICIG.2011.97","DOIUrl":"https://doi.org/10.1109/ICIG.2011.97","url":null,"abstract":"Bundle adjustment has been considered as one of the most important components in many visual tasks such as 3D reconstruction, photo grammetry, visual SLAM, etc. Unfortunately, both time and space complexity of this adjustment prevent it from being directly applied to large scale datasets. This paper presents a sub mapping method, which partitions a large scale dataset into disjointed subsets and adjusts them one by one or in parallel. Pair-wise sub maps are then \"stitched\" together by applying a similarity transformation. Both simulations and real applications show that our method scales well. Also some basic questions of this sub mapping method including map size, map fusion and global consistency are discussed.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116683245","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
Fusion of Object and Scene Based on IHS Transform and SFIM 基于IHS变换和SFIM的目标与场景融合
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.133
Youdong Ding, Xiaocheng Wei, Haibo Pang, Jianfei Zhang
{"title":"Fusion of Object and Scene Based on IHS Transform and SFIM","authors":"Youdong Ding, Xiaocheng Wei, Haibo Pang, Jianfei Zhang","doi":"10.1109/ICIG.2011.133","DOIUrl":"https://doi.org/10.1109/ICIG.2011.133","url":null,"abstract":"The fusion of object and scene plays an important role in image editing field, especially in the film production process. Poisson image editing technique is widely used in the object-scene fusion and a new method based on IHS transform has also been offered recently. Unfortunately, both of these two means might cause color distortion. Through introducing the SFIM technique and combining with IHS transform, this paper proposes a new algorithm based on IHS transform and SFIM for the fusion of object and scene. It utilizes the SFIM technique to fuse the intensity under the IHS color space. Subjective quality evaluation and objective quality assessment data of comparative fusion experiment results show that the new algorithm not only can reduce the color distortion well and achieve better fusion result than the Poisson fusion scheme and the standard IHS transform fusion scheme in the application of object-scene fusion, but also performs fast and is more robust.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125165671","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
Visual Object Localization in Image Collections 图像集合中的可视对象定位
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.123
Yanyun Qu, Han Liu
{"title":"Visual Object Localization in Image Collections","authors":"Yanyun Qu, Han Liu","doi":"10.1109/ICIG.2011.123","DOIUrl":"https://doi.org/10.1109/ICIG.2011.123","url":null,"abstract":"The research of object localization is active in the field of visual object category. In this paper, we focus on object localization in a given special category dataset. We propose to exploit the context aware category discovery for object localization without any labeled examples. Firstly, the image is segmented based on a multiple segmentation algorithm. Secondly, these generated regions are clustered by spectral clustering method to find the category pattern based on the context of the dataset and the saliency. Thirdly, the object is localized based on the weakly supervised learning algorithm. To justify the effectiveness of the proposed method, the detection precision is employed to evaluate the performance of our approach. The experimental results demonstrate that our approach is promising in object localization with unsupervised learning method.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124333838","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
Subjective Quality Optimized Intra Mode Selection for H.264 I Frame Coding Based on SSIM 基于SSIM的H.264帧编码主观质量优化的帧内模式选择
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.13
Z. Cui, Xiuchang Zhu
{"title":"Subjective Quality Optimized Intra Mode Selection for H.264 I Frame Coding Based on SSIM","authors":"Z. Cui, Xiuchang Zhu","doi":"10.1109/ICIG.2011.13","DOIUrl":"https://doi.org/10.1109/ICIG.2011.13","url":null,"abstract":"H.264/AVC adopts rate distortion optimization (RDO) technique to select optimal macro block (MB) coding mode and achieves higher compression efficiency, but the traditional RDO framework employs pixel wise mean square error (MSE) and the like as objective distortion metric, which can not acquire optimal subjective quality. This paper applies structural similarity (SSIM) based subjective distortion to RDO-based intra mode decision in H.264 I frame coding, and further proposes a frame layer adaptive Lagrange multiplier adjustment scheme to get better tradeoff between rate and SSIM distortion. Experimental results show that, the proposed scheme encodes more image structural information and thus acquires better subjective quality and coding efficiency compared with MSE-based RDO method.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121597832","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: 7
Optimized-SSIM Based Quantization in Optical Remote Sensing Image Compression 基于优化ssim的光学遥感图像压缩量化
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.38
Kai Yang, Hongxu Jiang
{"title":"Optimized-SSIM Based Quantization in Optical Remote Sensing Image Compression","authors":"Kai Yang, Hongxu Jiang","doi":"10.1109/ICIG.2011.38","DOIUrl":"https://doi.org/10.1109/ICIG.2011.38","url":null,"abstract":"High-rate compression usually causes serious distortion of texture and edges which play important roles in optical remote sensing image application. In order to reduce obvious structural distortion, in this paper, we analyze the correlation of SSIM (Structural Similarity) component functions with MOS (Mean Opinion Score) on an optical remote sensing compression distortion image database, conclude that SSIM should be substituted by its component function in optical remote sensing image compression assessment. After that, we utilize the component function to design a quantization approach, and apply it to an embedded wavelet image coder. Experiments show that our approach can preserve more structure and texture in image by high-rate compression.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123249282","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: 19
A Hardware Coprocessor Integrated with OpenCV for Edge Detection Using Cellular Neural Networks 基于OpenCV的细胞神经网络边缘检测硬件协处理器
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.115
M. Nuño-Maganda, M. Morales-Sandoval, C. Torres-Huitzil
{"title":"A Hardware Coprocessor Integrated with OpenCV for Edge Detection Using Cellular Neural Networks","authors":"M. Nuño-Maganda, M. Morales-Sandoval, C. Torres-Huitzil","doi":"10.1109/ICIG.2011.115","DOIUrl":"https://doi.org/10.1109/ICIG.2011.115","url":null,"abstract":"In this work, a high performance hardware coprocessor for CNNs and its interaction with the OpenCV library is reported. Edge detection algorithms reduce the amount of image data to be processed, because only essential information is preserved. There are several approaches for edge detection, one of them is based on Cellular Neural Networks (CNNs). The parallel nature of CNNs makes them suitable to be implemented on a reconfigurable device, such as Field Programmable Gate Arrays (FPGAs). An FPGA implementation of CNNs achieves high performance and flexibility due to fine-grain parallelism of the FPGA-based implementations. CNNs can perform both linear and nonlinear image processing tasks, such as filtering, threshold, various mathematical morphology operations, edge detection, corner detection, etc., but in this paper only the edge detection problem is addressed. Hardware resources and performance comparison are reported.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128326783","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
On-line Signature Verification Using Graph Representation 基于图表示的在线签名验证
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.57
Kaiyue Wang, Yunhong Wang, Zhaoxiang Zhang
{"title":"On-line Signature Verification Using Graph Representation","authors":"Kaiyue Wang, Yunhong Wang, Zhaoxiang Zhang","doi":"10.1109/ICIG.2011.57","DOIUrl":"https://doi.org/10.1109/ICIG.2011.57","url":null,"abstract":"This paper proposes a novel approach of on-line signature verification. Firstly, on-line signatures are represented by a series of graphs, whose nodes and edges describe certain properties at sample points and relationship between points respectively. Then, graph matching techniques are introduced to compute edit distance between graphs, which measures the similarity of graphs. Finally, having been able to compare any two signatures through the last two steps, user-dependent classifiers are trained using limited genuine signatures. The proposed method is tested on SUSIG online signature database and shows promising performance.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124605597","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: 16
Hand Detection Using Robust Color Correction and Gaussian Mixture Model 基于鲁棒色彩校正和高斯混合模型的手部检测
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.166
Shipeng Xie, Jing Pan
{"title":"Hand Detection Using Robust Color Correction and Gaussian Mixture Model","authors":"Shipeng Xie, Jing Pan","doi":"10.1109/ICIG.2011.166","DOIUrl":"https://doi.org/10.1109/ICIG.2011.166","url":null,"abstract":"Reliable and fast hand detection is crucial for gesture-based human-computer-interface. It is natural to utilize hand-skin color to detect hands in images. However, skin-color feature is sensitive to variations in illumination, and occurrence of shadow. Therefore, color correction plays an important role for skin-color based detection algorithms. But classical Retinex method is not suitable for correcting hand-skin-color because that hand is a very uniform region. To deal with this problem, we propose to utilize an advanced color correction method: RACE. The RACE algorithm is a combination of Random Spray Retinex (RSR) and Automatic Color Equalization (ACE). Based on the corrected colors, we employ the Gaussian Mixture Model (GMM) to describe the skin-colors. Compared to single Gaussian model, the GMM can capture more complex variations caused by the difference of human races, gender, and etc. Experimental results demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619723","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: 16
Double Compression Detection Based on Markov Model of the First Digits of DCT Coefficients 基于DCT系数首位马尔可夫模型的双压缩检测
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.100
Lisha Dong, Xiangwei Kong, Bo Wang, Xingang You
{"title":"Double Compression Detection Based on Markov Model of the First Digits of DCT Coefficients","authors":"Lisha Dong, Xiangwei Kong, Bo Wang, Xingang You","doi":"10.1109/ICIG.2011.100","DOIUrl":"https://doi.org/10.1109/ICIG.2011.100","url":null,"abstract":"Double compression usually occurs after the image has gone through some kinds of tampering, so double compression detection is a basic mean to assess the authenticity of a given image. In this paper, we propose to model the distribution of the mode based first digits of DCT (Discrete Cosine Transform) coefficients using Markov transition probability matrix and utilize its stationary distribution as features for double compression detection. Experiment results show the effectiveness of the proposed method and comparison has been made to show the improvement by using this second order statistical model.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129954193","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: 13
Target Tracking Based on Wavelet Features in the Dynamic Image Sequence 基于小波特征的动态图像序列目标跟踪
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.72
Qi Zhang, Jinlin Zhang, Ting Rui
{"title":"Target Tracking Based on Wavelet Features in the Dynamic Image Sequence","authors":"Qi Zhang, Jinlin Zhang, Ting Rui","doi":"10.1109/ICIG.2011.72","DOIUrl":"https://doi.org/10.1109/ICIG.2011.72","url":null,"abstract":"The traditional algorithm often cannot detect and extract the moving object precisely and fast, which affects result of the tracking. In order to overcome the problem, this paper proposes a method based on wavelet features for target tracking. According to the previous information obtained by Kalman filter, the possible location of the target in the frame is predicted. Multi-scale two-dimensional discrete wavelet is used to decompose the possible area in which the target exists. And then the mean and variance of the decomposed image are computed. Finally, Principal Component Analysis (PCA) is used to build an effective subspace. The target is matched to realize the tracking by measuring the similarity function. The experimental results have shown that the algorithm is robust and can improve the speed and accuracy of the target detection and tracking significantly.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"59 14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114238455","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
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