{"title":"A Bayesian network-based tunable image segmentation algorithm for object recognition","authors":"F. Alam, I. Gondra","doi":"10.1109/ISSPIT.2011.6151528","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151528","url":null,"abstract":"We present a Bayesian network-based tunable image segmentation algorithm that can be used to segment a particular object of interest (OOI). In tasks such as object recognition, semantically accurate segmentation of the OOI is a critical step. Due to the OOI consisting of different-looking fragments, traditional image segmentation algorithms that are based on the identification of homogeneous regions tend to oversegment. The algorithm presented in this paper uses Multiple Instance Learning to learn prototypical representations of each fragment of the OOI and a Bayesian network to learn the spatial relationships that exist among those fragments. The Bayesian network, as a probabilistic graphical model, in turn becomes evidence that is used for the process of semantically accurate segmentation of future instances of the OOI. The key contribution of this paper is the inclusion of domain-specific information in terms of spatial relationships as an input to a conventional Bayesian network structure learning algorithm. Preliminary results indicate that the proposed method improves segmentation performance.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114054746","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 technique of time domain sequential data embedding into real object image using spatially modulated illumination","authors":"Y. Ishikawa, K. Uehira, K. Yanaka","doi":"10.1109/ISSPIT.2011.6151537","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151537","url":null,"abstract":"We propose a new technique that uses spatially modulated illumination for embedding time domain sequential data into moving picture data. This is based on the “optical watermarking” technology that can be applied to protect “analog” objects like pictures painted by artists from having photographs taken of them illegally. Another important application of optical watermarking is embedding real time data sequence into real object images unconsciously, which may be moving pictures. We carried out experiments that sequential watermarking image data that had 10 fps (frame per second) were irradiated onto objects with projector, and moving image data with the picture rate of 30 fps were taken with a video camera. The result was that the embedded sequential watermarking information could be detected accurately from the obtained moving image data. In the experiments we embedded 256 bit information into watermarking image area of each frame that had the image size of 128 × 128 pixels, that is, the bit-rate of embedding information was 2.5kbps. The experimental results indicate that faster bit-rate and improved detection accuracy may be achieved when lager size of the area of embedding watermarks and higher resolution image for each frame are used.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127936925","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":"Some results on low resolution airborne ultrasonic image generation and processing","authors":"D. Aiordachioaie, L. Frangu","doi":"10.1109/ISSPIT.2011.6151608","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151608","url":null,"abstract":"The paper presents some preliminary results of airborne ultrasonic image generation and processing. The work relates to mobile robots which use artificial vision to navigate and to recognize objects from the environment. Ultrasonic images are generated by sonar heads. The images are obtained by a discrete approach, i.e. element by element. Two methods of building ultrasonic images are presented, both under biomimetic behavior of wild animals (bats): one emitter and two receivers. The first method uses a minimum number of processing functions in order to detect - as quickly as possible - the obstacle (size and shape) from the explored environment. The second method has - comparing with the first one - more processing functions and could be used to generate ultrasonic images for object recognition. Ultrasonic images have low resolution, i.e. 20 by 20 elements. The obtained results show that such low resolution ultrasonic images can be used for various navigation tasks, such as detection and recognition of objects.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129607105","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}
Mao-shen Jia, C. Bao, Xin Liu, Xiao-ming Li, Ru-wei Li
{"title":"An embedded stereo speech and audio coding method based on principal component analysis","authors":"Mao-shen Jia, C. Bao, Xin Liu, Xiao-ming Li, Ru-wei Li","doi":"10.1109/ISSPIT.2011.6151581","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151581","url":null,"abstract":"In this paper a compressive sampling method of MLT coefficients which is used for extracting stereo information is adopted based on principal component analysis (PCA) and Modulated Lapped Transform (MLT). With this method, an embedded variable bit-rates stereo speech and audio coding algorithm is proposed in this paper. In this codec, the stereo signal sampled at 32 kHz and 16 kHz can be coded in terms of scalable bit rates, the structure of bit-stream is embedded and the bit-stream can be divided into several layers. The core codec is ITU-T G.729.1 which can process mono signal with 7 kHz bandwidth. Besides there are four extra bit-rates added include 40, 48, 56, and 64kb/s. The maximum bit-rates of wideband stereo signal and super-wideband stereo signal are 48kb/s and 64kb/s, respectively. The objective and subjective test results show that the quality of the proposed codec is no worse than the reference codec which is requested by ITU-T.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122456616","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":"Digital watermarking method based on fuzzy image segmentation technique","authors":"M. Gaata, W. Puech, Sattar Sadkhn","doi":"10.1109/ISSPIT.2011.6151563","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151563","url":null,"abstract":"In this paper, we propose new watermarking method for image copyright protection in spatial domain based on fuzzy image segmentation technique. The fuzzy image approach is employed to determine appropriate locations to hiding watermark by identifying the features map (edges regions) which are less sensitive to the human visual system. Our method optimizes robustness and imperceptibility which are known to be inversely proportional to each other. Transparency performance of proposed method was evaluated by four image quality measures are PSNR, SSIM and two similarity measures which are based on the fuzzy logic S1, S2. The evaluation results demonstrate the high robustness of the proposed algorithm against the common image processing operators. Our method is also is efficient as it only uses simple operations such image fuzzification and fuzzy image segmentation technique.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"21 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120858900","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 interactive super resolution coding approach of images and videos for enhanced user visualization","authors":"G. Fahmy","doi":"10.1109/ISSPIT.2011.6151566","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151566","url":null,"abstract":"In this paper we propose an interactive super resolution coding technique to enhance user's visualization of received low resolution (LR) images. The proposed technique hides/embeds high frequencies and edges in the LR image, and constructs a high resolution (HR) image upon a user click. The proposed technique is suitable for many applications (eg. digital libraries) that display images and videos to the user in small sizes, and should be capable of reconstructing a HR version of the image or video upon a click on the LR version. The proposed approach consists of an insertion part and an extraction part. In the insertion part (that could be treated as an acquisition algorithm), high frequency components of the sensed image are embedded/inserted among the content of the finally delivered LR image in an invisible manner. The resulting sensed image is a regular low resolution image, however when performing the extraction part on it, a HR image is constructed without any side information in a blind, fast, robust and effective manner. The proposed approach has been tested on several images and video sequences against noise and compression, and gave very competitive results with current literature methods.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129141943","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}
I. Jimenez, Stephan Weiss, M. Mendicute, E. Arruti
{"title":"Multiuser MIMO amplify-and-forward relaying schemes with vector precoding","authors":"I. Jimenez, Stephan Weiss, M. Mendicute, E. Arruti","doi":"10.1109/ISSPIT.2011.6151615","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151615","url":null,"abstract":"A two-hop multiuser multiple-input multiple-output (MIMO) amplify-and-forward (AF) relay scenario is analyzed in this paper, where the main design challenge resides on the selection of the interdependent precoding and relaying matrices. After analyzing the optimal joint iterative linear design of the precoding and relaying matrices, two simpler non-iterative approaches are proposed and derived: hop-by-hop minimum mean squared error (MMSE) minimization and block diagonal geometric mean decomposition (BD-GMD). The combination of these two techniques and vector precoding (VP) is then proposed to greatly improve the performance of the systems. Provided simulation results prove that the combination of non-linear precoding and simpler matrix design strategies can outperform the optimal and complex joint iterative design with linear transmission.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127317564","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 joint channel and noise variance estimation and primary user signal detection for cognitive radios","authors":"Ayman Assra, Arash Vakili, B. Champagne","doi":"10.1109/ISSPIT.2011.6151578","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151578","url":null,"abstract":"In this paper, we introduce a joint channel and noise variance estimation, and primary user (PU) signal detection scheme using the expectation-maximization (EM) algorithm for cognitive radios. In our investigation, we consider two scenarios: In the first scenario, the channel and noise variance are assumed to be perfectly known by the secondary user (SU). Here, we propose a maximum-likelihood (ML) solution of the PU signal detection as an upper bound on the performance of the proposed joint estimation and detection (JED) scheme. We also provide an iterative implementation of the ML-based detector using the EM algorithm. In the second case, we extend our work to the problem of channel and noise variance estimation in cognitive radios, where we propose an iterative JED scheme based on the EM algorithm. The simulation results show that the proposed JED scheme can iteratively attain a reliable performance with few iterations and modest computational complexity.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122954733","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":"Simulation of the anti-collision process of RFID systems based on multiple access protocol modeling","authors":"Hadjer Saadi, R. Touhami, M. Yagoub","doi":"10.1109/ISSPIT.2011.6151530","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151530","url":null,"abstract":"In this paper, the authors targeted multiple access protocols to analyze the problem of collision and collision avoidance in RFID systems. By considering user terminals as tags and access point as reader, the authors efficiently modelled the wireless communication channel by considering the capture effect. Otherwise, if the capture effect is not considered, the system is modelled under wired communication.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115912530","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 interactive city framework: Mobile Cloud Computing approach","authors":"H. E. A. E. Aty, Hanan A. Hassan, W. Sheta","doi":"10.1109/ISSPIT.2011.6151526","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151526","url":null,"abstract":"This paper presents a mobile augmented reality framework for an interactive three-dimensional city. One of the challenging issues in the design of mobile scalable augmented reality systems is the limitation of computational power. The proposed framework provides a scalable, service-based and open source approach to integrate the real and virtual scene. The key strength of the proposed framework is adopting an emerging and challenging approach: Mobile Cloud Computing. The main advantage of this approach is reducing mobile constraints: limited battery life and limited memory size. The paper focus on the proposed framework architecture and rationale behind designing its infrastructure to provide interactivity and scalability features.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124992659","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}