{"title":"A High Speed CABAC Algorithm Based on Probability Estimation Update","authors":"Guo Bin, Wang Wei-dong, Shen Yu-li, Zhang Hong","doi":"10.1109/ICIG.2007.10","DOIUrl":"https://doi.org/10.1109/ICIG.2007.10","url":null,"abstract":"Context adaptive binary arithmetic coding (CABAC) is a highly efficient entropy coding way, but its coding speed is restricted by high computational complexity, which becomes a major bottleneck in its application. Based on the analysis of the CABAC algorithm and its computational complexity, by improving the probability estimation update part, an effective way to improve its coding speed will be proposed in this paper. The experimental results show that the coding speed of CABAC has been substantially raised meanwhile coding efficiency decline a little.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131996743","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}
{"title":"Extracting Man-made Region(s) based on Attention driven Level-set Evolution","authors":"Jun Yang, Peng Zhang, Runsheng Wang","doi":"10.1109/ICIG.2007.88","DOIUrl":"https://doi.org/10.1109/ICIG.2007.88","url":null,"abstract":"This work proposed an attention driven level set method for extracting man-made regions from aerial or satellite images. Compared with other level-set segmentation, the main re-modification of the novel approach are as following aspects. Firstly, by detecting focuses of attention and compact convex-hull polygons, salient initial contour(s) can be generated for level-set evolution adoptively and quickly, which can be much close to the real boundaries of man-made areas from natural ground. Secondly, by using a novel variational formulation, the zero level set curves can be evolved without costly re-initialization. Thirdly, a saliency map and an improved Mumford-Shah model are combined to drive the level set evolution for better segmentation. Experimental results with real images showed that the approach artfully avoids much redundant computation, and pops out the efficiency perceptually.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133002203","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}
{"title":"Whole-frame Error concealment with improved backward motion estimation for H.264 decoders","authors":"Su Shi-Chen, Liu Feng, Xue Ping","doi":"10.1109/ICIG.2007.192","DOIUrl":"https://doi.org/10.1109/ICIG.2007.192","url":null,"abstract":"H.264 video compression standard is widely used in video transmission for telecommunications field, with a higher compression ratio and excellent network adaptability. But it also decreases the performance in anti-interference capabilities. More than one frame pictures of encoding data is stored in a data packet, once the data packet occur errors in transmission, the whole frame image is completely lost, and the next several frames can not be decoded well . Therefore, we must take the decoder error conceal technology to improve the ability of error resilient. This paper presents an error conceal method for whole-frame loss by using improved backward motion estimation. More precise quarter-pixel motion estimation to conceal the un-mapped pixel from previous correct decoded frame to current damaged frame is used to improve the quality of reconstructed frame, and spatial conceal method of distance-weighted average method is used to reduce the blocking-effect. Experiment results show it is effective.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127645619","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}
{"title":"A Fast SAR Target Recognition Approach Using PCA Features","authors":"Zhiguo He, Jun Lu, Gangyao Kuang","doi":"10.1109/ICIG.2007.8","DOIUrl":"https://doi.org/10.1109/ICIG.2007.8","url":null,"abstract":"The real-time ability and recognition rate are two primary goals for evaluating the performance of an SAR image target recognition system. This paper concentrates on the analysis of key factors which influence these two goals. According to the analysis, a fast SAR target recognition approach is proposed, which utilizes a self-organizing neural network trained with the Hebbian rule to extract the principal component features and a multi-layer neural perceptron network as the classifier. The experimental results show that it consumes little memory and runs very fast with a considerable recognition rate, thus can be used in a real-time application.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127819731","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}
Zhen Zhang, Rongrong Ji, H. Yao, Pengfei Xu, Jicheng Wang
{"title":"Random Sampling SVM Based Soft Query Expansion for Image Retrieval","authors":"Zhen Zhang, Rongrong Ji, H. Yao, Pengfei Xu, Jicheng Wang","doi":"10.1109/ICIG.2007.151","DOIUrl":"https://doi.org/10.1109/ICIG.2007.151","url":null,"abstract":"This paper focuses on the problem that relevance feedback schemes based on support vector machines (RF-SVM) always give a poor performance when the numbers of positive/negative feedback examples are strongly asymmetric. To address this issue, we propose a random sampling SVM based query expansion for relevance feedback learning. Firstly, we adopt a random sampling method to construct multiple asymmetric bagging SVM classifiers (hard or binary SVM each) and aggregate them to form a compound SVM classifier by classifier committee voting. Subsequently, the voting results are combined with query expansion to sort the final feedback ranking results. The proposed method can effectively restrain the negative effect of the sample asymmetry. Thus it provides a good error-tolerant ability to training data. Experimental results on a subset of COREL image database demonstrate the effectiveness and robustness of the proposed approach.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116415931","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}
{"title":"Omni-directional Vision Localization Based on Particle Filter","authors":"Zuo-liang Cao, Shiyu Liu, J. Roning","doi":"10.1109/ICIG.2007.147","DOIUrl":"https://doi.org/10.1109/ICIG.2007.147","url":null,"abstract":"Omni-directional vision navigation appears definite significant since its advantage of panoramic sight with a single compact visual scene. This unique guidance technique involves target recognition, vision tracking, object positioning, path programming. An algorithm for omni-vision based global localization which utilizes two overhead features as beacon pattern is proposed in this paper. An approach for geometric restoration of omni-vision images has to be considered since an inherent distortion exists. The localization of the robot can be achieved by geometric computation. Dynamic localization employs a beacon tracker to follow the landmarks in real time during the arbitrary movement of the vehicle. Particle filter (PF) has been shown to be successful for several nonlinear estimation problems. A beacon tracker based on Particle filter which offers a probabilistic framework for dynamic state estimation in visual tracking has been developed. We have implemented the tracking and localization system and demonstrated the relevant of the algorithm.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117136789","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}
{"title":"Frequency-domain Regularized Deconvolution for Images with Stripe Noise","authors":"Zuoguan Wang, Yutian Fu","doi":"10.1109/ICIG.2007.100","DOIUrl":"https://doi.org/10.1109/ICIG.2007.100","url":null,"abstract":"This paper presents a new approach to the deconvolution for images contaminated by stripe noise. Inspired by the 2D power spectrum distribution property of stripe noise in the frequency domain, we construct a novel regularized inverse filter which allows the algorithm to suppress the amplification of stripe noise in the Fourier inverse step and further get rid of most of them, and a mirror-wavelet denoising is followed to remove the left colored noise. In simulations with striped images, this algorithm outperforms the traditional mirror-wavelet based deconvolution in terms of both visual effect and SNR comparison, only at the expense of slightly heavier computation load. The same idea about regularized inverse filter can also be used to improve other deconvolution algorithms, such as wavelet packets and Wiener filters, when they are employed to images stained by stripe noise.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114622294","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}
Xinyang Huang, Yang Luo, Minsheng Tan, Dazheng Lin
{"title":"A Image Digital Watermarking based on DWT in Invariant Wavelet Domain","authors":"Xinyang Huang, Yang Luo, Minsheng Tan, Dazheng Lin","doi":"10.1109/ICIG.2007.11","DOIUrl":"https://doi.org/10.1109/ICIG.2007.11","url":null,"abstract":"Surviving geometric attacks in image watermarking is considered to be of great importance. In the face of geometrical attacks, all shortcomings of almost all digital watermarking algorithms have been exposed. This paper presents an improved invariant wavelet that is better than the bilinear interpolation, and designs a novel blind image watermarking algorithm of scalar costa system based on DWT in the rotation- and scale-and translation-(RST) moment invariant wavelet, i.e. RSTMIW domain. The experiments show that this novel algorithm is robust against RST geometrical, filter and noise attacks, however, sensitive to local crop attacks.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114722763","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}
{"title":"Nonlinear Diffusion for Angiogram Enhancement based on Morphology Measure","authors":"K. Sun, N. Sang, Guodong Wang","doi":"10.1109/ICIG.2007.146","DOIUrl":"https://doi.org/10.1109/ICIG.2007.146","url":null,"abstract":"This paper introduces a nonlinear diffusion method for coronary angiogram enhancement based on morphology measure. This method is designed to utilize the distinction of morphology measure between coronary tree and background, and the iterative enhancement feature of nonlinear diffusion. The morphology measure is calculated by the difference between morphological opening results of original image with structuring elements of different scale. The morphology difference is embedded in a generalized formulation of P-M equation in which the statistics about intensity difference is replaced by the generalized measure. Experimentations are reported about the result of the proposed method on clinic angiogram and the comparative result with other method.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126752496","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}
{"title":"An Angle QIM Watermarking Algorithm Based on Watson Perceptual Model","authors":"Chuanbo Chen, Xueli Wu","doi":"10.1109/ICIG.2007.41","DOIUrl":"https://doi.org/10.1109/ICIG.2007.41","url":null,"abstract":"In this paper, a new angle quantization index modulation (Angle QIM) watermarking algorithm is proposed. Instead of embedding information by quantizing the amplitude of pixel values, Angle QIM works by quantizing the angle formed by the host- signal vector. The proposed method is based on modifying the low-mid frequency DCT coefficients imperceptibly to quantizing the angle formed by the host-signal vector. During the modulation, a theorem deduced from Watson's perceptual model is employed to restrict the modified magnitude of coefficients. Experimental results indicate that the presented watermarking method performs well in both security and robustness.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125647452","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}