{"title":"Using RSSI value for distance estimation in wireless sensor networks based on ZigBee","authors":"K. Benkič, M. Malajner, P. Planinsic, Z. Cucej","doi":"10.1109/IWSSIP.2008.4604427","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604427","url":null,"abstract":"In todaypsilas modern wireless ZigBee-based modules, there are two well-known values for link quality estimation: RSSI (received signal strength indicator) and LQI (link quality indicator). In respect to wireless channel models, received power should be a function of distance. From this aspect, we believed that RSSI can be used for evaluating distances between nodes. The experiment described in this paper indicates that RSSI is, in fact, a poor distance estimator when using wireless sensor networks in buildings. Reflection, scattering and other physical properties have an extreme impact on RSSI measurement and so we can conclude: RSSI is a bad distance estimator.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128638205","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":"Simple and efficient deblocking algorithm for H.264/AVC decoder","authors":"Jung-Ah Choi, Yo-Sung Ho","doi":"10.1109/IWSSIP.2008.4604459","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604459","url":null,"abstract":"Block-based coding in H.264/AVC creates discontinuities at block boundaries. The blocking artifact is regarded as the most visible artifact in block-based video coding. In H.264, a deblocking filter is used to reduce such a blocking artifact. However, it requires a significant amount of complexity and it occupies one-third of the computational complexity of the decoder. In this paper, we propose a simple and efficient deblocking algorithm. It consists of mode decision and filtering. For mode decision, we define three different modes: weak mode, strong mode, and special mode. For filtering, we design two new filters for strong mode and special mode. Experimental results show that the proposed deblocking algorithm provides comparable objective quality, better subjective video qualities, and lower computational complexity, compared to the deblocking filter in H.264.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129634300","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":"Fingerprint verification using filter-bank of Gabor and Log Gabor filters","authors":"R. Nemati, M. Y. Javed","doi":"10.1109/IWSSIP.2008.4604442","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604442","url":null,"abstract":"This paper describes efficiency of Log Gabor filters in fingerprint verification by giving a performance-based comparative analysis with Gabor filter-bank based approach. The proposed method locates the core point through complex filtering technique and then tessellates the image around core point. A bank of filters is used to capture requisite distinctive fingerprint features as a fingerCode and matching is based on Euclidean distance between FingerCodes of query and registered images. A bank of six Log Gabor filters outperforms Gabor filter approach in terms of acceptance and success rates achieving 97% GAR, 3% FRR and 1% FAR whereas Gabor approach pulls off similar GAR but FRR and FAR swell up to 3.1% with a preset dataset of fingerprint images. It has also been noticed that the images, falsely accepted or rejected in case of Gabor filter-bank approach, were correctly verified through Log Gabor method.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121528365","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":"Real-time traffic analysis in Ethernet","authors":"T. Kovácik, I. Kotuliak, P. Podhradský","doi":"10.1109/IWSSIP.2008.4604369","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604369","url":null,"abstract":"This article presents our framework intended for measurement of the Ethernet traffic, its evaluation and finally graphical representation. Whole project consists of three main parts network measurement, trace analysis and user interface.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124490419","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":"Iterative unsupervised object detection system","authors":"S. Onis, Henri Sanson, Christophe Garcia","doi":"10.1109/IWSSIP.2008.4604450","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604450","url":null,"abstract":"Current object detection systems provide good results, at the expense of requiring a large training database. This paper presents an unsupervised iterative object detection system using a selection of previously detected objects in order to perform new object detection. Our experiments show that this method enables face detection with a greatly reduced set of examples and outperforms the detection rates of our non iterative detection system based on normalized cross-correlation and affine deformation compensation.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117327972","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":"E-training system for operators, technological engineers and maintenance automation systems, safety and security","authors":"A. Cazan, C. Bratu, R. Varbanescu","doi":"10.1109/IWSSIP.2008.4604473","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604473","url":null,"abstract":"The general objective of the project refers to the creation of some online services, meaning the creation of some modern instruction procedures using IT&C facilities to come as a solution to the continuous needs of knowledge and formation of different users. The main objective is that of building a virtual instruction and evaluation system of the exploitation and maintaining personnel of the automation systems, based on a model of knowledge which corresponds to a need of training on different industrial sectors.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133153593","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}
A. Levada, D. C. Corrêa, D. H. P. Salvadeo, J. H. Saito, N. Mascarenhas
{"title":"Novel approaches for face recognition: Template-matching using Dynamic Time Warping and LSTM neural network supervised classification","authors":"A. Levada, D. C. Corrêa, D. H. P. Salvadeo, J. H. Saito, N. Mascarenhas","doi":"10.1109/IWSSIP.2008.4604412","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604412","url":null,"abstract":"This paper presents novel methodologies for face recognition: template-matching using Dynamic Time Warping (DTW) and Long-Short-Term-Memory (LSTM) neural network supervised classification. The advantage of the DTW algorithm is that it requires only one prototype (sample) for each class, that is, a single representative template is enough for classification purposes. The LSTM network is a novel recurrent network architecture that implements an appropriate gradient-based learning algorithm. It overcomes the vanishing-gradient problem. Experiments with images from the MIT-CBCL face recognition database provided good results for both approaches. For DTW, the obtained results indicate that the proposed method is robust against the presence of random noise on observations and templates, since it is capable to deal with unpredictable variations. The LSTM training achieved good performance even with small feature sets.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"157 52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124873615","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}
G. Camara-Chavez, F. Precioso, M. Cord, S. Phillip-Foliguet, A. Araújo
{"title":"An interactive video content-based retrieval system","authors":"G. Camara-Chavez, F. Precioso, M. Cord, S. Phillip-Foliguet, A. Araújo","doi":"10.1109/IWSSIP.2008.4604385","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604385","url":null,"abstract":"The actual generation of video search engines offers low-level abstractions of the data while users seek for high-level semantics. The main challenge in video retrieval remains bridging the semantic gap. Thus, the effectiveness of video retrieval is based on the result of the interaction between query selection and a goal-oriented human user. The system exploits the human capability for rapidly scanning imagery augmenting it with an active learning loop, which tries to always present the most relevant material based on the current information. We describe in this paper, a machine learning system for interactive video retrieval. The core of this system is a kernel-based SVM classifier. The video retrieval uses the core as an active learning classifier. We perform an experiment against the 2005 NIST TRECVID benchmark in the high-level task.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129525927","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":"Visual analysis of urban road traffic","authors":"Á. Utasi, L. Czúni","doi":"10.1109/IWSSIP.2008.4604462","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604462","url":null,"abstract":"The authors discuss the problem of understanding urban traffic motion flow in noisy environments. We propose pixel based modeling of motion directions with the help of Gaussian mixture models (GMMs) and hidden Markov models (HMMs). This way there is no need for object tracking and the proposed modification in the original hidden Markov model gives us a more usable tool for the analysis of hundreds of samples at a time. The proposed methods can be used for visualization and anomaly detection purposes.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129160078","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 Empirical Mode Decomposition for Signal Enhancement with application to speech","authors":"N. Chatlani, J. Soraghan","doi":"10.1109/IWSSIP.2008.4604377","DOIUrl":"https://doi.org/10.1109/IWSSIP.2008.4604377","url":null,"abstract":"Speech enhancement is performed in a wide and varied range of instruments and systems. In this paper, a novel approach to signal enhancement using adaptive empirical mode decomposition (SEAEMD) is presented. Spectral analysis of non-stationary signals can be performed by employing techniques such as the STFT and the Wavelet transform, which use predefined basis functions. The empirical mode decomposition (EMD) performs very well in such environments and it decomposes a signal into a finite number of data-adaptive basis functions, called intrinsic mode functions (IMFs). The new SEAEMD system incorporates this multi-resolution approach with adaptive noise cancellation in order to perform signal enhancement on an IMF level. In comparison to the conventional adaptive noise cancellation, the application of SEAEMD to speech gives rise to improved quality and lower level of residual noise.","PeriodicalId":322045,"journal":{"name":"2008 15th International Conference on Systems, Signals and Image Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130624042","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}