Conferences related to Image sequence analysis

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Multimedia and Expo (ICME)

Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.

  • 2019 IEEE International Conference on Multimedia and Expo (ICME)

    speech, audio, image, video, text and new sensor signal processingsignal processing for media integration3D imaging, visualization and animationvirtual reality and augmented realitymulti-modal multimedia computing systems and human-machine interactionmultimedia communications and networkingmedia content analysis and searchmultimedia quality assessmentmultimedia security and content protectionmultimedia applications and servicesmultimedia standards and related issues

  • 2018 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME also features an Exposition of multimedia products and prototypes.

  • 2017 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to: – Speech, audio, image, video, text and new sensor signal processing – Signal processing for media integration – 3D visualization and animation – 3D imaging and 3DTV – Virtual reality and augmented reality – Multi-modal multimedia computing systems and human-machine interaction – Multimedia communications and networking – Media content analysis – Multimedia quality assessment – Multimedia security and content protection – Multimedia databases and digital libraries – Multimedia applications and services – Multimedia standards and related issues

  • 2016 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to:- Speech, audio, image, video, text and new sensor signal processing- Signal processing for media integration- 3D visualization and animation- 3D imaging and 3DTV- Virtual reality and augmented reality- Multi-modal multimedia computing systems and human-machine interaction- Multimedia communications and networking- Media content analysis- Multimedia quality assessment- Multimedia security and content protection- Multimedia databases and digital libraries- Multimedia applications and services- Multimedia standards and related issues

  • 2015 IEEE International Conference on Multimedia and Expo (ICME)

    With around 1000 submissions and 500 participants each year, the IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2014 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications. In 2014, an Exposition of multimedia products, prototypes and animations will be held in conjunction with the conference.Topics of interest include, but are not limited to:

  • 2013 IEEE International Conference on Multimedia and Expo (ICME)

    To promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2012 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE Societies. It exchanges the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2011 IEEE International Conference on Multimedia and Expo (ICME)

    Speech, audio, image, video, text processing Signal processing for media integration 3D visualization, animation and virtual reality Multi-modal multimedia computing systems and human-machine interaction Multimedia communications and networking Multimedia security and privacy Multimedia databases and digital libraries Multimedia applications and services Media content analysis and search Hardware and software for multimedia systems Multimedia standards and related issues Multimedia qu

  • 2010 IEEE International Conference on Multimedia and Expo (ICME)

    A flagship multimedia conference sponsored by four IEEE societies, ICME serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2009 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2008 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2007 IEEE International Conference on Multimedia and Expo (ICME)

  • 2006 IEEE International Conference on Multimedia and Expo (ICME)

  • 2005 IEEE International Conference on Multimedia and Expo (ICME)

  • 2004 IEEE International Conference on Multimedia and Expo (ICME)

  • 2003 IEEE International Conference on Multimedia and Expo (ICME)

  • 2002 IEEE International Conference on Multimedia and Expo (ICME)

  • 2001 IEEE International Conference on Multimedia and Expo (ICME)

  • 2000 IEEE International Conference on Multimedia and Expo (ICME)


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Periodicals related to Image sequence analysis

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Image sequence analysis

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Xplore Articles related to Image sequence analysis

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7A-4 A New Method for Enhancing Dynamic Vascular Patterns of Focal Liver Lesions in Contrast Ultrasound

2007 IEEE Ultrasonics Symposium Proceedings, 2007

The differential diagnosis of focal liver lesions (FLL) frequently presents a dilemma, as FLL cannot be reliably characterized with conventional ultrasound. Recently, ultrasound contrast agents (UCA) and contrast-specific imaging methods have substantially improved the characterization of FLL. This was made possible by the known differences in dynamic vascular patterns (DVP) between healthy parenchyma and various FLL types, revealed by UCA. ...


Motion-compensated iterative sparse data reconstruction for interventional 3-D coronary artery imaging

2008 IEEE Nuclear Science Symposium Conference Record, 2008

Three-dimensional (3-D) reconstruction of the coronary arteries from a rotational X-ray angiography sequence can support diagnosis of coronary artery disease, treatment planning, and intervention guidance during catheter interventions. 3-D reconstruction enables quantitative vessel analysis, including vessel dynamics from a time-series of reconstructions. This contribution presents a method for reconstructing coronary arteries with high contrast and high level of detail. It ...


Medical image analysis a challenge for computer vision research

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 1998

Automating the analysis of multidimensional medical images is extremely promising to improve diagnosis and therapy quality of tomorrow's medical practice. This automation will require the solution of a number of challenging research problems, many of them being closely related to computer vision problems. The paper presents first the medical tasks that will benefit from automated medical image analysis. Then, it ...


Tracking and Motion Analysis of Impact Fragments

7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007

Automation for the motion analysis of fragments has been requested in a field of collision and destruction experiments. While extracting and tracking of targeted fragments have been analyzed manually in a sequence of images and movie, we substituted arrangements of 2DCDP (two dimensional continuous dynamic programming) for that manual works. Four large fragments in test data were succeeded in handling ...


The theorem analysis on optical flow estimation from three frames of image sequences

[1988 Proceedings] 9th International Conference on Pattern Recognition, 1988

The method presented, based on three frames of an image sequence, avoids using any supplementary constrained requirement such as smoothness requirement. According to the inertia theorem in kinematics, the velocity of an object point is considered constant during the three consecutive images, so that the acceleration of the moving object point is set to zero. A series of simple operations ...


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Educational Resources on Image sequence analysis

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IEEE-USA E-Books

  • 7A-4 A New Method for Enhancing Dynamic Vascular Patterns of Focal Liver Lesions in Contrast Ultrasound

    The differential diagnosis of focal liver lesions (FLL) frequently presents a dilemma, as FLL cannot be reliably characterized with conventional ultrasound. Recently, ultrasound contrast agents (UCA) and contrast-specific imaging methods have substantially improved the characterization of FLL. This was made possible by the known differences in dynamic vascular patterns (DVP) between healthy parenchyma and various FLL types, revealed by UCA. The purpose of this work was to develop a new method, called DVP processing, which provides a DVP- enhanced imaging mode of FLL using contrast ultrasound; this mode allows an improved differentiation of benign from malignant lesions. DVP processing consists in generating a sequence of images, where hyper-echoic and hypo- echoic pixels, compared to reference levels taken in healthy parenchyma, are coded over time in warm and cold colors, respectively. For example, a benign lesion remains hyper-echoic over time, while a malignant lesion is hyper- echoic in the arterial phase and turns into hypo-echoic in the portal phase. This method was implemented as an image-processing software program, which was the object of clinical evaluation. Sequences of 111 FLL were acquired with real-time low-MI contrast- specific ultrasound after a 2.5-mL bolus injection of SonoVuetrade, and subsequently analyzed off-fine with DVP processing. The sensitivity and specificity achieved by two clinical observers in this way were 92%, and 86%, respectively. These results reflect a significant improvement over accuracy scores achieved with contrast-enhanced ultrasound alone, having resulted in 93% and 82% in sensitivity and specificity, respectively.

  • Motion-compensated iterative sparse data reconstruction for interventional 3-D coronary artery imaging

    Three-dimensional (3-D) reconstruction of the coronary arteries from a rotational X-ray angiography sequence can support diagnosis of coronary artery disease, treatment planning, and intervention guidance during catheter interventions. 3-D reconstruction enables quantitative vessel analysis, including vessel dynamics from a time-series of reconstructions. This contribution presents a method for reconstructing coronary arteries with high contrast and high level of detail. It employs an iterative reconstruction algorithm in combination with projection-based motion compensation. An efficient implementation using a graphics processing unit delivers reconstruction times close to clinically acceptable values. Reconstructions from clinical human cases, acquired on an interventional C-arm system, are presented. Excellent image quality is achieved.

  • Medical image analysis a challenge for computer vision research

    Automating the analysis of multidimensional medical images is extremely promising to improve diagnosis and therapy quality of tomorrow's medical practice. This automation will require the solution of a number of challenging research problems, many of them being closely related to computer vision problems. The paper presents first the medical tasks that will benefit from automated medical image analysis. Then, it describes a selection of the associated research problems, with illustrations of recent results and advances.

  • Tracking and Motion Analysis of Impact Fragments

    Automation for the motion analysis of fragments has been requested in a field of collision and destruction experiments. While extracting and tracking of targeted fragments have been analyzed manually in a sequence of images and movie, we substituted arrangements of 2DCDP (two dimensional continuous dynamic programming) for that manual works. Four large fragments in test data were succeeded in handling and measuring velocities and sizes of them. We also introduced a new method to prepare better reference images for every frames by a combination of 2DCDP and affine transformation. These labor-saving procedures are effective in analysis of objects in movies.

  • The theorem analysis on optical flow estimation from three frames of image sequences

    The method presented, based on three frames of an image sequence, avoids using any supplementary constrained requirement such as smoothness requirement. According to the inertia theorem in kinematics, the velocity of an object point is considered constant during the three consecutive images, so that the acceleration of the moving object point is set to zero. A series of simple operations lead to a second-order equation about the component U of displacement vector. A discrimination function is established to select one accurate solution from the two equations' solutions. Another component, V, can be derived from the original line-constrained equation.<<ETX>>

  • 3D recovery using calibrated active camera

    We describe a system to generate dense depth maps from image sequences recorded from a camera mounted on a robot. Two color images of the sequence are treated as a stereo pair. A color edge detector is applied, lines are segmented from the edge images, and approximations as sequences of straight lines and circular arcs are computed. An initial depth map results from lines of these compound segmentation objects. This map is refined to a dense map by a block matching algorithm. We describe results of a parallel implementation using object-oriented programming techniques. The results show substantial improvements in comparison to a monochrome system with respect to speed, accuracy, and completeness.

  • CDMA-based watermarking resisting to cropping

    In this paper, we propose an image watermarking algorithm in DWT domain with self-synchronization, focusing on resisting to cropping attack. In embedding, the CDMA encoded watermark, concatenated by the synchronization code, is embedded into the selected DWT coefficients of the original image. During the oblivious watermarking detection, the corresponding DWT coefficients of the cropped watermarked image are relocated by self-synchronizing efficiently, and then the correlation between the extracted watermark information and the Gold sequence is analyzed. By exploiting the time-frequency localization characteristics of DWT, we reduce the computation load to search the synchronization code. The experiment results demonstrate that the thus generated watermark is robust to cropping, JPEG, Gaussian noise and other common attacks.

  • Redundancy Removing by Adaptive Acceleration and Event Clustering for Video Summarization

    In this paper, we propose a novel approach to summarize rushes. Our processing is composed of several steps. First, we remove unusable content and we dynamically accelerate video according to motion activity to maximize the content per time unit. Then, one-second video segments are clustered into similarity clusters. The most important nonredundant pieces of shot are selected such that they maximize the coverage of those similarity clusters. The produced summaries have been evaluated by an automatic method with a strong positive correlation with the TRECVID campaign evaluation.

  • Non-negative matrix factorization of dynamic images in nuclear medicine

    Recently suggested non-negative matrix factorization (NMF) seems to overcome fundamental limitations of factor analysis at least In theoretical aspect. NMF cost function uses Poisson statistics as a noise model, rather than the Gaussian statistics, and provides a simple learning rule, in contrast to the tricky optimization in factor analysis. To study the feasibility of NMF for the analysis of dynamic image sequences in nuclear medicine, NMF was applied to H/sub 2//sup 15/O dynamic myocardial PET Images acquired from dog studies, and the results were compared with those obtained by conventional factor analysis method. Using NMF we could obtain basis images corresponding to major cardiac components. Their time-activity curves showed reasonable shapes that we have been familiar with. With the assumption of proper number of factors, NMF presented good results at least similar with those by factor analysis. Our results showed that NMF would be feasible for image segmentation and factor extraction from dynamic image sequences in nuclear medicine.

  • Low-pass frequency-domain filtering of oligonucleotide microarray data images

    Oligonudeotide microarrays technologies offer the possibility of simultaneously monitoring thousands of hybridization reactions. These arrays show high potential for many medical and scientific applications as gene expression monitoring, sequence analysis, and genotyping. Nevertheless microarrays are exposed to errors during manufacturing, similar to silicon circuit electronics and the hybridization process may be contaminated by different reasons. Other source of errors is due to optical noise during scanning and processing, or to interactions between molecular structures and light (dispersion among others). To reduce some of these effects are used replicates of experiments with the cost of increasing expenses. In order to detect noise contamination in microarray data images well-known computational techniques are proposed to help in visual analysis. Some experiments are shown to check the effectiveness of these approaches.



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