{"title":"Design of JPEG2000 Arithmetic Coder Using Optimized Renormalization Procedure","authors":"Li Wensong, Zhu En, Lin Ye, Sun Lei, Liu Jun","doi":"10.1109/CMSP.2011.161","DOIUrl":"https://doi.org/10.1109/CMSP.2011.161","url":null,"abstract":"JPEG2000 of high performance is one of the best solutions for video transmission in the wireless environment with features of multi-hop and low data rate. Arithmetic coder is used for entropy coding in JPEG2000, which involves heavy loop-iterative operations, restricting the performance of the whole JPEG2000 encoder. In this letter, an efficient algorithm for the renormalization procedure is present, which enables the whole arithmetic coder to perform sequentially, reducing the computation and easy to implement on hardware. The hardware architecture is present, reading in and encoding one pair of CX/D per cycle. The experimental results on FPGA are present. The clock rate can be synthesized into 79.836MHz, and the system throughout is 79.836 Msymbols/s.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"410 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123412268","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":"Virtual View Generation Method without Pre-processing Depth-Image for 3DTV","authors":"Jinbao Xue, Gang Song, Hua Li","doi":"10.1109/CMSP.2011.80","DOIUrl":"https://doi.org/10.1109/CMSP.2011.80","url":null,"abstract":"Abstract-Depth image based rendering (DIBR) algorithm cantheoretically render arbitrary view, but with low quality andlarge disocclusion regions. The most common method is that:depth-image is firstly pre-processed and finally thedisocclusion regions are inpainted. Preprocessing depth-imageleads to serious deformation of virtual view image. Algorithms for image inpainting are sophisticated and fail to obtain ideally results. In this paper, a double-side DIBR method without preprocessing depth-image is proposed. An algorithm for reducing tiny holes is utilized during the process of image rendering,and algorithm for image merging is improved. The experimental results show that deformation is fundamentally eliminated and the complication for inpainting disocclusion regions is also greatly decreased.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121692061","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":"3D Shape Reconstruction and Realistic Rendering of Flowering Rape (Brassica napus L.)","authors":"Lili Zhao, Shenglian Lu, Xinyu Guo, Weiliang Wen, Sheng Wu","doi":"10.1109/CMSP.2011.154","DOIUrl":"https://doi.org/10.1109/CMSP.2011.154","url":null,"abstract":"This paper presents a fast and efficient method for modeling the flowering rape (Brassica napus L.). Based on the analysis and observation of the morphological structure of rape, Ball B-splines based method has been used for modeling the shape of rape organs, with use of template technology to describe local detail features and to augment the realistic effects, and several principal control parameters with explicit biological background for these geometric models of organs were extracted. The proposed methods for modeling the 3D shape of organs and simulating rape could be integrated easily with agricultural knowledge, and the generated morphological models have realistic effects. The flexibility and suitability of the proposed methods can be applied to the visual simulation of the different varieties of plant.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114973417","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":"Face Recognition Based on Kernel Schur-Orthogonal Neighborhood Preserving Discriminant Embedding","authors":"Yan Wang, Wan-rong Bai","doi":"10.1109/CMSP.2011.130","DOIUrl":"https://doi.org/10.1109/CMSP.2011.130","url":null,"abstract":"In order to recognize faces more accurately, this paper proposes a new manifold learning algorithm named Kernel Schur-Orthogonal Neighborhood Preserving Discriminant Embedding (KSONPDE) which puts the vector orthogonal and kernel mapping into the Neighborhood Preserving Discriminant Embedding (NPDE). The algorithm extracts nonlinear information from face image by kernel method, mapping it into a high-dimensional space and finding optimal projection vector by schur-orthogonal when solving eigenvalues in order to extract the face features from the structure of nonlinear local area. The experiment on the ORL and Yale face database demonstrates effectiveness of the proposed method.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747626","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":"Multiple Speaker Localization in a Smart Room","authors":"M. M. Nejad, D. Mahmoodi, Salehe Zohroudi","doi":"10.1109/CMSP.2011.152","DOIUrl":"https://doi.org/10.1109/CMSP.2011.152","url":null,"abstract":"in recent years, there has been growing an interest in intelligent system. Human-machine interaction and the automatic analysis of meeting in smart room is an emerging research field. One of the most important tasks in a smart room is localization of multi-speaker that permits a wide spectrum of application. In this paper, by using the Combined of hyperbolae produced by time delay estimation (TDE) between several microphones pair and the head orientation information, a new acoustic multi-speaker localization function has been proposed that we call it OPROD-PHAT function. We implement a grid-based, multiple speaker localization method. On the multiple moving speaker location estimation, the new approach has been proposed, that to find number of active source in each time frame, the power of cross correlation function has been used. After find the loudest source present by maximizing the energy of a steered beamformer, in order to localize other source, the process is repeated by removing the contribution of the first source. The result of simulation show superior performance of proposed system.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125945323","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":"Cycle Slips Detection and Repairing to GPS Phase Observation Based on Sym4 Wavelet","authors":"Bo Wang, D. Chen, Hefang Bian","doi":"10.1109/CMSP.2011.73","DOIUrl":"https://doi.org/10.1109/CMSP.2011.73","url":null,"abstract":"Processing for cycle slips is one of the most troublesome problems during GPS data preprocessing, firstly the paper analyzes briefly the reason to cycle slips and its characteristics and then analyzes and illustrates it is feasible to detect cycle slips by the wavelet technology combined with simulation experiment. Secondly, the author does the experiment of detecting cycle slips with different wavelets to determine optimal wavelet function. Experiment shows the wavelet of Sym4 is optimal to detect cycle slips precisely regardless of little cycle slips or many cycle slips and can repair 1 cycle slip correctly and precisely at least combined with polynomial fitting in order 2.So the authors think of detecting cycle slips based on wavelet technology as an undoubtedly effective method during practical GPS data preprocessing with predominance in higher automatization positioning in accuracy and intuitionism.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127666149","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 Modified Wiener Filtering Method for DT-CWT Domain Image Denoising","authors":"Hongxia Wang, Bo Chen","doi":"10.1109/CMSP.2011.66","DOIUrl":"https://doi.org/10.1109/CMSP.2011.66","url":null,"abstract":"A novel scheme for reducing additive Gaussian noise from images in the dual tree complex wavelet transform (DTCWT) domain is introduced in this paper. The doubly Wiener filtering algorithm is investigated and a simple one-step Wiener filtering method in DT-CWT domain is derived by choosingoptimal parameter to minimize the local expected square error. Comparing with the current best denoising techniques, the proposed method outputs comparable results (visually and PSNRs) but requires far lower computations. The experimental results demonstrate the effectiveness of the proposed scheme.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126887610","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}
P. Wang, Xiyuan Hu, B. Xuan, Jiancheng Mu, Silong Peng
{"title":"Super Resolution Reconstruction via Multiple Frames Joint Learning","authors":"P. Wang, Xiyuan Hu, B. Xuan, Jiancheng Mu, Silong Peng","doi":"10.1109/CMSP.2011.79","DOIUrl":"https://doi.org/10.1109/CMSP.2011.79","url":null,"abstract":"This paper presents a novel multi-frame joint learning approach for image super resolution via sparse representation. Based on the assumption that several low-resolution patches degraded from a same high-resolution patch under subpixel translation can preserve similar structures, we can use those similar low-resolution patches together to recover the sparse coefficients for the corresponding high-resolution patch, and the differences between them can help to supply more information.So, unlike the learning-based super resolution algorithm from single image which uses one patch in the learning process, we take into consideration some other well matched patches in 3D domain. Computer simulations demonstrate that, comparing with those single frame learning algorithms, our method will not only restore more details but also can effectively overcome the over learning and is more robust to noise.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117344094","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":"The Cell Image Segmentation Based on the K-L Transform and OTSU Method","authors":"Zhonghua Lin","doi":"10.1109/CMSP.2011.14","DOIUrl":"https://doi.org/10.1109/CMSP.2011.14","url":null,"abstract":"Automatic analysis of medical cell images has been gaining more importance in pharmacology research. Segmentation of cell images is the crucial step in their analysis since results of segmentation directly affect the following quantitative analysis steps. In this paper, we present a cell image segmentation method based on the K-L transform and OTSU method. By K-L transform we choose one channel and ensure an automatic threshold value by OTSU method. The method has been applied to the segmentation of several kinds of cell images. The experimental results show that the method is practical and effective; it has good robustness and ensures the accuracy.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127935413","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 Exploration on Improving Statistical Machine Translation Performance by Using Post-Editing Information","authors":"Dong Yu, Bo Xu","doi":"10.1109/CMSP.2011.144","DOIUrl":"https://doi.org/10.1109/CMSP.2011.144","url":null,"abstract":"Manually Post-editing (PE) is a traditional and effective way of improving machine translation outputs. However, it is costly and time consuming. In this paper, manually PE knowledge including word and phrase revision information is used for updating statistical machine translation (SMT) model, the updated system can avoidsimilar mistakes and achieve better translation performance. A number of SMT model compatible features are extracted from PE process, and then an updating process is implemented to combine such PE knowledge into the original SMT model. Experiments on Chinese to English translation are carried out. Results show that our approach could improve the performance of baseline SMT system. Additionally, the updated SMT model has the capability of generating user expected outputs through PE information combination process.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127548180","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}