Real-Time ImagingPub Date : 2004-10-01DOI: 10.1016/j.rti.2004.07.002
Gang Cao , Zhijun Lei , Jintao Li , Nicolas D. Georganas , Zhenmin Zhu
{"title":"A novel DCT domain transcoder for transcoding video streams with half-pixel motion vectors","authors":"Gang Cao , Zhijun Lei , Jintao Li , Nicolas D. Georganas , Zhenmin Zhu","doi":"10.1016/j.rti.2004.07.002","DOIUrl":"10.1016/j.rti.2004.07.002","url":null,"abstract":"<div><p><span>Video transcoding<span> is one of the key techniques to provide heterogeneous multimedia applications with </span></span><em>Universal Multimedia Access</em> (UMA) service. Recently, compressed domain (DCT, Discrete Cosine Transform) transcoding architectures have been proposed to achieve fast transcoding, in which DCT domain <em>Inverse Motion Compensation</em><span><span> (IMC) is the most important module to reduce computational complexity. The problem of IMC has been studied for integer-pixel precision motion vectors (MVs), and, subsequently, for half-pixel precision MVs in which extra filtering, hence, extra computation is introduced. Since most current video coding standards, such as H.263, MPEG-2, etc., use half-pixel precision MVs to achieve better quality, reducing computational complexity of IMC for half-pixel MVs is important for real time fast transcoding video streams encoded by these standards. In this paper, we propose a novel half-pixel filter for IMC, which simplifies the extract operations by integrating the interpolation and translation operations into one single step. Compared to other existing half-pixel </span>filtering algorithms<span>, the proposed filter does not introduce any distortion and drift errors. Experimental results demonstrate that the proposed filter achieves faster transcoding than other DCT domain transcoders, and almost the same video quality as that of pixel domain transcoders.</span></span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 5","pages":"Pages 331-337"},"PeriodicalIF":0.0,"publicationDate":"2004-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.07.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88789924","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}
Real-Time ImagingPub Date : 2004-10-01DOI: 10.1016/j.rti.2004.08.003
Byeong-Doo Choi, Kang-Sun Choi, Min-Cheol Hwang, Jun-ki Cho, Sung-Jea Ko
{"title":"Real-time DSP implementation of motion-JPEG2000 using overlapped block transferring and parallel-pass methods","authors":"Byeong-Doo Choi, Kang-Sun Choi, Min-Cheol Hwang, Jun-ki Cho, Sung-Jea Ko","doi":"10.1016/j.rti.2004.08.003","DOIUrl":"10.1016/j.rti.2004.08.003","url":null,"abstract":"<div><p><span><span>This paper presents a real-time implementation of Motion-JPEG2000 encoder using a fixed-point DSP chip. Among several modules in JPEG2000 encoder, the lifting algorithm for discrete wavelet transform (DWT) and the embedded block coding with optimized truncation (EBCOT) comprise more than 85% of the encoding complexity. Thus, it is very important to design and optimize these two modules in order to increase the performance of the hardware implementation. First we propose an overlapped block transferring (OBT) method that can significantly improve the performance of the lifting algorithm for DWT by increasing the </span>cache hit rate. We show that the execution time of the lifting scheme can be further reduced by programming the DSP software using the </span>single instruction multiple data (SIMD) instructions and the super scalar pipeline structure. Moreover, we introduce a parallel-pass method for fast implementation of EBCOT. This method reduces the processing time of EBCOT by processing the three coding passes of the same bit-plane in parallel. Experimental results show that our developed Motion-JPEG2000 DSP system meets the common requirement of the real-time video coding [30 frames/s (fps)] and is proven to be a practical and efficient DSP solution.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 5","pages":"Pages 277-284"},"PeriodicalIF":0.0,"publicationDate":"2004-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.08.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84127452","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}
Real-Time ImagingPub Date : 2004-10-01DOI: 10.1016/j.rti.2004.08.005
Wei Feng, Ashraf A. Kassim, Chen-Khong Tham
{"title":"A scalable video codec for layered video streaming","authors":"Wei Feng, Ashraf A. Kassim, Chen-Khong Tham","doi":"10.1016/j.rti.2004.08.005","DOIUrl":"10.1016/j.rti.2004.08.005","url":null,"abstract":"<div><p><span>A wavelet-based video codec that performs layering of encoded bit streams to support layered scalable video streaming is presented in this paper. The proposed codec can generate separate bit streams comprising different cumulative layers. A new sorting algorithm is incorporated to produce spatial and temporal resolution scalable bit streams, and a specially designed </span><em>layer-ID</em> is used to identify the layer that a particular data packet belongs to. The proposed codec is more suitable for real network environments as it is able to correctly decode bit streams that have experienced losses incurred during network transmission loss.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 5","pages":"Pages 297-305"},"PeriodicalIF":0.0,"publicationDate":"2004-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.08.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73685623","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}
Real-Time ImagingPub Date : 2004-08-01DOI: 10.1016/j.rti.2004.05.003
Kátia Cristina de Andrade Waldemarin , Marcelo Emílio Beletti , Luciano da Fontoura Costa
{"title":"Nuclear morphometry of neoplastic cells as a method for diagnosis of histiocytoma, mastocytoma and transmissible venereal tumor in dogs","authors":"Kátia Cristina de Andrade Waldemarin , Marcelo Emílio Beletti , Luciano da Fontoura Costa","doi":"10.1016/j.rti.2004.05.003","DOIUrl":"10.1016/j.rti.2004.05.003","url":null,"abstract":"<div><p>Image analysis has been used in medicine and veterinary science as an increasingly important auxiliary tool for histopathology evaluation, because of its potential for decreasing the intrinsic subjectivity of the human visual analysis. However, the geometrical features currently used are often inefficient, not always leading to correct diagnosis. The present work has as its main objective to suggest several approaches to geometric and texture characterization of the cell nuclei, characterized by low computational cost, rapid analysis and sound biological interpretation and good agreement with the visual analysis by expert pathologists. We consider digital images of histological slides obtained from histiocytoma, mastocytoma and transmissible venereal tumors in dogs. Segmented cell nuclei of these tumors were evaluated morphometrically considering the features normally used in medicine together with novel features suggested in the present work, applied in order to characterize the distribution and morphology of the nucleoli and heterochromatin inside the nuclei. Statistical characterization<span> of the obtained results was performed through variance and discriminant analysis, leading to the identification of the most important features. The approach proposed in this article has been verified to be an effective auxiliary tool for differential diagnosis of histiocytoma, mastocytoma and TVT in dogs. Its low computational cost allows fast morphometric evaluation, paving the way for real-time tumor diagnosis.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 197-204"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91423995","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}
Real-Time ImagingPub Date : 2004-08-01DOI: 10.1016/j.rti.2004.05.007
Manuel G. Forero , Filip Sroubek , Gabriel Cristóbal
{"title":"Identification of tuberculosis bacteria based on shape and color","authors":"Manuel G. Forero , Filip Sroubek , Gabriel Cristóbal","doi":"10.1016/j.rti.2004.05.007","DOIUrl":"10.1016/j.rti.2004.05.007","url":null,"abstract":"<div><p><span>Tuberculosis and other mycobacteriosis are serious illnesses which control is based on early diagnosis. A technique commonly used consists of analyzing sputum images for detecting bacilli. However, the analysis of sputum is time consuming and requires highly trained personnel to avoid high errors. Image-processing techniques provide a good tool for improving the manual screening of samples. In this paper, a new autofocus algorithm and a new bacilli detection technique is presented with the aim to attain a high specificity rate and reduce the time consumed to analyze such sputum samples. This technique is based on the combined use of some invariant shape features together with a simple thresholding operation on the chromatic channels. Some feature descriptors have been extracted from bacilli shape using an edited dataset of samples. A </span><span><math><mi>k</mi></math></span><span>-means clustering technique was applied for classification purposes and the sensitivity vs specificity results were evaluated using a standard ROC analysis procedure.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 251-262"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77815587","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}
Real-Time ImagingPub Date : 2004-08-01DOI: 10.1016/j.rti.2004.02.007
Daniela Mayumi Ushizima Sabino , Luciano da Fontoura Costa , Edgar Gil Rizzatti , Marco Antonio Zago
{"title":"A texture approach to leukocyte recognition","authors":"Daniela Mayumi Ushizima Sabino , Luciano da Fontoura Costa , Edgar Gil Rizzatti , Marco Antonio Zago","doi":"10.1016/j.rti.2004.02.007","DOIUrl":"10.1016/j.rti.2004.02.007","url":null,"abstract":"<div><p>Millions of white blood cells are manually classified in laboratories using microscopes, a painstaking and subjective task. A trained medical technician takes about 15<!--> <span><span><span>min to evaluate and count 100 cells for each blood slide, a time consuming and susceptible to error procedure. Leukocyte shape is usually insufficient to differentiate even among normal types since it varies widely. The current paper addresses the pattern recognition problem of blood image analysis and how textural information can improve differentiation among leukocytes. Cooccurrence probabilities can be used as a measure of </span>gray scale image<span> texture, a statistical method for characterizing the spatial organization of the gray-tones. We calculate five textural attributes based on gray level </span></span>cooccurrence matrices<span> (GLCM) as energy, entropy, inertia and local homogeneity, testing these features in leukocyte recognition. Several parameters must be estimated for obtaining GLCM, therefore we implement datamining algorithms for estimating suitable scales. Feature selection methods are also applied to define the most discriminative attributes for describing the cellular patterns. Experimental results show that texture parameters are essential to differentiate among the five types of normal leukocytes and chronic lymphocytic leukemia, evidencing the importance of biological aspects regarded by hematologists as nuclear chromatin and cytoplasmical granularity.</span></span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 205-216"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.02.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77959867","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}
Real-Time ImagingPub Date : 2004-08-01DOI: 10.1016/j.rti.2004.05.009
Xiang Liu , Wangdo Kim , Burkhard Drerup
{"title":"3D characterization and localization of anatomical landmarks of the foot by FastSCAN","authors":"Xiang Liu , Wangdo Kim , Burkhard Drerup","doi":"10.1016/j.rti.2004.05.009","DOIUrl":"https://doi.org/10.1016/j.rti.2004.05.009","url":null,"abstract":"<div><p>Anatomical landmarks</p><p>Biomechanics</p><p>Curvature maps</p><p>The landmarks on the body surface are important to shape and motion analysis. It is much better if the landmarks are anatomical ones, which are independent of position and coordinate system. The objective of this method is to present an easy-implemented method for extracting anatomical landmarks on the cylindraceous body surface which could be used in motion analysis or in medical treatment. The surface is scanned by FastSCAN (Polhemus, Colchester, Vermont, USA) and described by scattered three-dimensional surface points. The method provides the estimation of second-order derivatives by way of least-squares surface fitting to calculate the Gaussian curvature and mean curvature. To separate convexity from concavity<span>, the Koenderink<span><span> shape index maps of foot and leg are given as examples. The landmarks formed by underlying muscles and skeletal structures such as the malleoli distinguish themselves clearly on the Koenderink shape index maps. Minutes after the foot and leg are scanned, the curvature maps of the foot and leg provide the shape information and the loci of landmarks avail the </span>statistical shape analysis as well as foot underside deformation analysis. Furthermore, the anatomical landmarks around the knee and ankle, defining the transcondylar and transmalleolar axis, make it possible to calculate the tibial torsion by this non-invasive way. Generally, this method is fast and accurate. However, it gives some inaccurate results on the patch edge, which should be interpreted with caution, when it is applied on a surface patch in other occasions because of a small number of points unevenly distributed in the operator. Presently, the method is computationally intensive although the time can be reduced to a few seconds at the sacrifice of image resolution. Further efforts will be made to get the real-time information.</span></span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 217-228"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138332105","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}
Real-Time ImagingPub Date : 2004-08-01DOI: 10.1016/j.rti.2004.05.008
Antonio P.G. Damiance Jr., Liang Zhao, Andre C.P.L.F. Carvalho
{"title":"A dynamical model with adaptive pixel moving for microarray images segmentation","authors":"Antonio P.G. Damiance Jr., Liang Zhao, Andre C.P.L.F. Carvalho","doi":"10.1016/j.rti.2004.05.008","DOIUrl":"10.1016/j.rti.2004.05.008","url":null,"abstract":"<div><p><span>Gene expression analysis is one of the main research issues in computational biology. Such analysis can provide very relevant information related to cell activity. Several techniques have been employed for this analysis. One of them is the analysis of microarray images. This paper proposes a new data </span>clustering method<span> based on dynamical system modelling for the segmentation of microarray images.</span></p><p>The proposed approach employs a network consisting of interacting elements, where each element represents an input data as an attribute vector. Each element of the network receives attractions from other elements within a certain region. Those attractions, determined by a predefined similarity measure, drive the elements to converge to their corresponding cluster centre. With this model, neither the number of pixel clusters nor the initial guessing of cluster centres is required. Moreover, the proposed model allows the omission of the gridding process. The results obtained so far have been very promising.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 189-195"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78508623","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}
Real-Time ImagingPub Date : 2004-08-01DOI: 10.1016/j.rti.2004.05.005
O. Camara , O. Colliot , I. Bloch
{"title":"Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentation","authors":"O. Camara , O. Colliot , I. Bloch","doi":"10.1016/j.rti.2004.05.005","DOIUrl":"10.1016/j.rti.2004.05.005","url":null,"abstract":"<div><p><span>This paper presents an original hierarchical segmentation approach of several thoracic and abdominal structures in CT and emission PET images. Segmentation results will be used to initialize a non-linear registration procedure between these complementary </span>imaging modalities<span><span>. Therefore, structures involved in the segmentation system must be visible in both CT and emission PET images in order to compute a spatial transformation between them. Thus, the chosen structures include lungs, kidneys and liver (skin and skeleton are also segmented as support structures). In the hierarchical segmentation procedure, the extraction of a given structure is driven by information derived from a simpler one. This information is composed of spatial constraints inferred from the previously segmented structures and expressed by means of Regions Of Interest (ROI) in which the search for new structures will take place. The segmentation of each structure follows a two-phase process: a first stage is composed of automatic thresholding and other low-level operations in the ROI defined by previously segmented objects; a second stage employs a 3D </span>deformable model to refine and regularize results provided by the former step. Visual inspection by medical experts has stated that the proposed segmentation approach provides results which are accurate enough to guide a subsequent non-linear registration procedure.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 4","pages":"Pages 263-273"},"PeriodicalIF":0.0,"publicationDate":"2004-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78957787","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 characterization and localization of anatomical landmarks of the foot","authors":"Xiang Liu, Wangdo Kim, B. Drerup","doi":"10.1145/1044588.1044641","DOIUrl":"https://doi.org/10.1145/1044588.1044641","url":null,"abstract":"The anatomical landmarks on the body surface are important to shape and motion analysis. This paper presents a method for extracting anatomical landmarks on the foot from scattered 3D surface points collected by FastSCAN (Polhemus, Colchester, Vermont, USA). By least squares surface fitting, the surface is reconstructed from the scattered points and the Gaussian curvature and mean curvature are calculated. The landmarks formed by underlying muscles and skeletal structures distinguish themselves clearly on the Koenderink shape index maps. The loci of landmarks avail further analysis such as the arch height and tibial torsion.","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"7 1","pages":"217-228"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85801310","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}