{"title":"Hardware friendly background analysis based complexity reduction in H.264/AVC multiple reference frames motion estimation","authors":"Yiqing Huang, Zhenyu Liu, S. Goto, T. Ikenaga","doi":"10.1109/ISPACS.2007.4445957","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445957","url":null,"abstract":"In H.264 standard, multiple reference frame motion estimation (MRF- ME) can help to generate small residues and improve the performance. However, MRF-ME is also a computation intensive task for video coding system. Many software oriented fast algorithms have been proposed to shorten MRF-ME process. For hardwired real-time encoder, the division of ME part into two pipeline stages degrades the efficiency of many fast algorithms. This paper gives one hardware friendly MRF-ME algorithm to reduce computation complexity in MRF-ME procedure. The proposed algorithm is based on the analysis of macroblock's (MB's) feature and restricts search range for static background MB. Through experiment results, with negligible video quality degradation, the proposed background analysis based MRF-ME algorithm can averagely reduce 41.75% ME time for sequences with static background. Moreover, the proposed algorithm is compatible to other fast algorithms and friendly to hardware implementation of H.264 real-time encoder.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128289367","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":"Adaptive anti-jamming algorithm based on the characteristics of the GPS signal","authors":"Ping Li, D. Lu, R. Wu, Zhigang Su","doi":"10.1109/ISPACS.2007.4445856","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445856","url":null,"abstract":"In this paper, a novel adaptive anti-jamming algorithm for Global Positioning System (GPS) is proposed, which uses the characteristics of the GPS signal. Firstly, the interference is suppressed by projecting the received signal onto the interference orthogonal subspace. Then, the interference- free signal is processed by cyclic adaptive beamforming (CAB) algorithm in order to enhance the GPS signal. Additionally, we make a brief analysis of the conjugate cyclic correlation (CCC) matrix under finite snapshots. And in the estimation of CCC matrix we introduce the Hankel approximation method which helps to improve the performance of the proposed algorithm.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"2004 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128291031","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":"Variable Step-Size correlation phase algorithm: Analysis and simulations","authors":"S. Koike","doi":"10.1109/ISPACS.2007.4445926","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445926","url":null,"abstract":"Based on \"phase\" of a correlation between error signal and filter reference input, this paper first derives correlation phase algorithm (CPhiA) for adaptive filters in the complex-number domain, and further proposes a simple variable step-size control method to be combined with the CPhiA. The proposed VSS-CPhiA achieves significant improvement in convergence speed of the CPhiA, while preserving its robustness against impulse noise. Through analysis and experiment, we demonstrate effectiveness of the VSS-CPhiA in realizing sufficiently fast-convergent and robust adaptive filters. Good agreement between simulated and theoretical convergence behavior in transient phase and steady state proves the validity of the analysis.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384669","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":"Hierarchical threshold technique oriented to video object segmentation","authors":"Jiali Zheng, Yongdong Zhang, Guangnan Ni","doi":"10.1109/ISPACS.2007.4446023","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4446023","url":null,"abstract":"This paper proposed a motion vector error function to segment the objects in video sequence. The key point of the segmentation technique is how to set the appropriate threshold to distinguish the global motion region from the local motion region precisely. This paper also proposed a hierarchical threshold technique based on global motion estimation to solve this problem. Experimental results show that the proposed techniques are robust techniques which refine the set of global motion pixels hierarchically and segment the video objects effectively.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122249351","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 general mobility model for wireless cellular communication","authors":"Haibin Shi, Guangxi Zhu, Peng Zhu, Hongzhi Lin","doi":"10.1109/ISPACS.2007.4445820","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445820","url":null,"abstract":"The mobility model of mobile terminals in cellular communication has heavy impact on call admission control (CAC) algorithm. The traditional models have a common defect that a channel is the minimum resource allocation unit which leads to the unsuitability for data communication. However, researches on shared channel in CAC are still lacking. In this article, a general mobility model for cellular communication is put forward and corresponding mathematic formula for admission probability is given. From such model, many mobility models can be derived by combining or decomposing some parameters from different viewpoint. The defect of traditional models is overcome by introducing bandwidth into the model. A methodological idea is also generalized which may be helpful for researching systematic problems such as QoS.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"25 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123362245","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 cyclostationarity based iterative algorithm for multi-component chirp signal parameter estimation","authors":"Yan Jin, H. Ji","doi":"10.1109/ISPACS.2007.4445905","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445905","url":null,"abstract":"This paper is concerned with the problem of estimating the phase parameters of multi-component chirp signals embedded in additive noise. An iterative algorithm based on cyclocstationarity is proposed. The main characteristics of the proposed algorithm include reduction in error propagation effect, increase in estimation accuracy and operation over a wider range of phase parameter values. Simulation results demonstrate that the new iterative algorithm has better performance as compared with the conventional cyclostationary estimation method.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130716526","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":"Inter-temporal vector prediction for motion estimation in scalable video coding","authors":"S. Kamp, D. Heyden, J. Ohm","doi":"10.1109/ISPACS.2007.4445955","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445955","url":null,"abstract":"Motion estimation plays an important role for the coding performance achieved in current video coding schemes. However, the computational burden of motion estimation algorithms is often high, especially if the temporal distance between pictures is large. We describe a predictive motion estimation algorithm that takes advantage of motion correlation found specifically in scalable video coding using open-loop hierarchical B pictures or motion-compensated temporal filtering. The simulation results illustrate that our proposed algorithm significantly reduces the computational complexity of motion estimation while maintaining objective and visual quality almost identical to an exhaustive full search algorithm.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130952484","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":"Proof of a simple formula for ICI caused by single frequency offset in wireless OFDM system","authors":"S. Feng, Han Yubing, Xie Ren-hong, C. Shixin","doi":"10.1109/ISPACS.2007.4445843","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445843","url":null,"abstract":"Exact interchannel interference (ICI) expression caused by single frequency offset (SFO) is shown to be a function of normalized SFO (NSFO). Due to its high complexity, it is inconvenient for communication engineer to use this expression to calculate ICI value. Some upper bounds ICI, such as Moose and Feng, has been derived to reduce computational amount. But, they are still about 2 dB difference from real ICI value. Fortunately, this real ICI is proved to equal a third of the square of NSFO from mathematics under the condition that NSFO is small and N large. Numerical simulation further indicates that this identity holds when |NSFO|les0.2.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134321785","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 novel peer management model for live peer-to-peer streaming","authors":"Rongtao Liao, Sheng-sheng Yu, Lijun Dong","doi":"10.1109/ISPACS.2007.4445943","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445943","url":null,"abstract":"Due to the peer heterogeneity and dynamic, the peer management to construct high quality streaming overlay poses significant challenges in peer-to-peer streaming. In this paper, we propose a fully distributed scheme to achieve optimal peer selection and dynamic peer management, which gains global optimal performance in a highly diverse and dynamic peer-to-peer network. We designed this distributed management model based on an efficient peer selection algorithm and a set of dynamic maintenance scheme. It leverages the performance information and synchronization estimation between peers to select the best peers as senders. With the dynamic peer management protocol, our model is resilient to network dynamic that is characteristic in peer-to-peer networks. The validity and effectiveness of our approach are demonstrated in simulations.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133550474","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":"Deriving filter parameters using dual-images for image de-noising","authors":"Lingyu Wang, Graham Leedham, Siu-Yeung Cho","doi":"10.1109/ISPACS.2007.4445861","DOIUrl":"https://doi.org/10.1109/ISPACS.2007.4445861","url":null,"abstract":"This paper presents a novel technique to derive the filter parameters for removing signal dependent noise (SDN) in the image. In order to remove SDN, many de-noising algorithms rely on a <i>priori</i> knowledge of noise parameters, especially the variance sigma<sub>n</sub> <sup>2</sup>, and the gamma value gamma of the specific imaging technique. This paper proposes a technique to automatically derive the signal variance sigma<sub>f</sub> <sup>2</sup> and use this parameter to construct the Local. <i>Linear</i> <i>Minimum</i> <i>Mean</i> <i>Square</i> <i>Error</i> (LLMMSE) filter without the need to know the values of sigma<sub>n</sub> <sup>2</sup> and gamma. Two image instances of the same noisy scene are used to calculate the signal variance which is then used to construct the LLMMSE filter. Experiments with both the \"Lena\" image and real-life far-infrared (FIR) vein pattern images showed that the proposed technique can predict the signal variance consistently, and the constructed LLMMSE filter performs well in removing the signal dependent noise.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132113022","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}