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3 edition of A robust model-based coding technique for ultrasound video found in the catalog.

A robust model-based coding technique for ultrasound video

A robust model-based coding technique for ultrasound video

  • 48 Want to read
  • 31 Currently reading

Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Telemedicine.,
  • Coding.,
  • Data compression.,
  • Ultrasonics.,
  • Compression ratio.

  • Edition Notes

    Other titlesRobust model based coding technique for ultrasound video
    StatementAlen Docef and Mark J.T. Smith.
    SeriesNASA contractor report -- NASA CR-204472
    ContributionsSmith, Mark J. T., United States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL17126528M

    We present a fully automatic system for 2D model-based image coding of human faces for potential applications such as video telephony, database image compression, and face recognition. The system operates by locating a face in the input image, normalizing its scale and geometry and representing it in terms of a parametric image model obtained. Model-Based Imaging Dr. Charles A. Bouman Over the last two decades, model-based imaging techniques have emerged as a principled framework for understanding and solving many of the most important problems in imaging research. The approach of model-based imaging is to construct a model of both the image.

    Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy Wen Wu Terrence Chen Adrian Barbu y Peng Wang Norbert Strobel z Shaohua Kevin Zhou Dorin Comaniciu Image Analytics and Informatics, Siemens Corporate Research, Princeton, NJ , USA yDepartment of Statistics, Florida State University, Tallahassee, FL , USA. Search the leading research in optics and photonics applied research from SPIE journals, conference proceedings and presentations, and eBooks.

    Wong, A., A. Mishra, P. Fieguth, D. A. Clausi, N. M. Dunk, and J. Callaghan, "Shape-guided active contour based segmentation and tracking of lumbar vertebrae in video fluoroscopy using complex wavelets", 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, 08/ BibTex. Background Conventional Teaching/Playback still widely used model-free: neither task-specific models nor object-specific models are necessary for constant task conditions e.g.) initial pose of object does not change 2.


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A robust model-based coding technique for ultrasound video Download PDF EPUB FB2

Get this from a library. A robust model-based coding technique for ultrasound video. [Alen Docef; Mark J T Smith; United States.

National Aeronautics and Space Administration.]. Robust contour tracking in ultrasound tongue image sequences. (Snake model)-based method [19] miniature ultrasound machine, and video camera, and. Model-based coding is a new approach to image coding, which makes use in some sense of the 3-D properties of the scene.

The methods are categorized into three classes: 2-D approach, 3-D approach and hybrid or model-assisted approach. This chapter summarizes these methods and describes 2-D and 3-D model-based coding by:   Medical ultrasound video coding with H/HEVC based on ROI extraction Article (PDF Available) in PLoS ONE 11(11) November with Reads How we measure 'reads'.

Model-based coding is a promising very low bit rate video coding technique. The idea behind this technique is to parameterize a talking head and to extract and transmit the parameters de-scribing facial movements. At the receiver, the parameters are used to reconstruct the talking head.

Since only high-level animation parameters are transmitted. Methods. In our method, we generate a feature-based atlas based on aligning the training CT images C i using the extended FBA method (Section ).Utilizing the alignment information, the individual training lung shapes S i can be transformed to the atlas space and averaged using existing landmarks.

The main purpose of building an atlas is to embed an average lung shape Cited by: Sparse deconvolution is widely used in the field of non-destructive testing (NDT) for improving the temporal resolution. Generally, the reference signals involved in sparse deconvolution are measured from the reflection echoes of standard plane block, which cannot accurately describe the acoustic properties at different spatial by: 3.

Time-Varying Image Processing and Moving Object Recognition, 4-V. Cappellini (Ed.) 9 Elsevier Science B.V. All fights reserved. 79 Time-Varying Image Processing for 3D Model-Based Video Coding 1 T.

Huang, R. Lopez, A. Colmenarez University of Illinois at Urbana-Champaign ~05 N. Mathews Ave., Urbana, IL Abstract This paper presents a framework for Author: T.S. Huang, R.

Lopez, A. Colmenarez. IEEE is doubles the coding efficiency compared with the state-of-art of video coding standards. This talk will report the recent developments of MBC video coding, specifically on background picture model based surveillance coding and cloud-based image coding, the challenging problems and future directions will be discussed also.

Model Based Video Coding. This page summarizes published results in 3D model based video coding. Most of the work is the result of a collaboration with Ericsson Research in Kista. People. The principal investigator for this project is Per-Erik Forssén.

The project also employed the PhD student Jens Ogniewski. Research Topic. Model-based image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body.

In this paper we describe a Kalman filtering-based technique to robustly recover 3D structure and kinematics of the head and arm in view from optical by: 1.

A real-time facial video coding/decoding system was proposed based on the establishment of 2D/3D mixed coding/decoding scheme. It has better rate/distortion performance at ultra-low bit-rate.

Multi-measurements and online appearance models were applied to track the 3D facial motion from video by the improved particle filtering. 3D facial animation was Cited by: 4. Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the same data set.

Increasingly, robust estimation techniques, some borrowed from the statistics literature and others described in the computer Cited by: A Robust Model-Based Approach for 3D Head Tracking in Video Sequences Marius Malciu and Françoise Prêteux Institut National des Télécommunications ARTEMIS Project Unit {, x}@ Abstract We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated.

Robust Machine Learning. October 5, Real data often has incorrect values in it. Origins of incorrect data include programmer errors, ("oops, we're double counting!"), surprise API changes, (a function used to return proportions, suddenly it instead returns percents), or.

tion of fetal anatomies in ultrasound images [6], [7], [14], [17], [23], [28], [35]. One possible reason for this, as mentioned by Jardim [17], is the low quality of fetal ultrasound images, which can be caused by low signal-to-noise ratio, markedly different ways of.

AN EFFICIENT SEGMENTATION METHOD FOR ULTRASOUND IMAGES BASED ON A SEMI-SUPERVISED APPROACH AND PATCH-BASED FEATURES A. Ciurte 1; 2, N.

Houhou, S. Nedevschi, A. Pica3, F.L. Munier4, 2, X. Bresson5, M. Bach Cuadra2 1Department of Computer Science, Technical University of Cluj-Napoca (UTCN), Roumania 2Signal.

Traditional methods of detection tend to under perform in the presence of the strong and variable background clutter that characterize a medical ultrasound image. In this paper, we present a novel diffusion based technique to localize acoustically dense objects in an ultrasound image.

The approach is premised on the observation that the topology of noise in ultrasound images is. The three-volume set LNCS, and constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAIheld in Boston, MA, USA, in September Based on rigorous peer reviews, the program committee.

This paper presents a QoS-aware, content-aware and device-aware nonintrusive medical QoE (m-QoE) prediction model over small cell networks. The proposed prediction model utilises a Multilayer Perceptron (MLP) neural network to predict m-QoE. It also acts as a platform to maintain and optimise the acceptable diagnostic quality through a device-aware adaptive Cited by: 3.

An Automated Initialization System for Model-Based Lung Segmentation 3 2 Methods Our approach to initialization of our robust lung segmentation method [8] is based on two main processing steps.

First, given a new lung CT data set to process, three key landmark points are estimated by utilizing a feature-based alignment approach.Dear Colleagues, Ultrasonic sensors are widely used in a multitude of applications, in diverse industrial and nonindustrial settings.

This Special Issue aims to highlight advances in the development of novel ultrasonic sensors, including modeling with applications in diverse fields.Model-based 3-D Pose Estimation and Feature Tracking for Robot Assisted Surgery with Medical Imaging C.

Doignon, F. Nageotte, B. Maurin and A. Krupa Abstract—In this paper we address the problem of the pose estimation based on multiple geometrical features for monoc-ular endoscopic vision with laparoscopes and for stereotaxy with CT scanners.