A robust model-based coding technique for ultrasound video
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A robust model-based coding technique for ultrasound video

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


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

Book details:

Edition Notes

Other titlesRobust model based coding technique for ultrasound video.
StatementAlen Docef and Mark J.T. Smith.
Series[NASA contractor report] -- NASA-CR-204472., NASA contractor report -- NASA CR-204472.
ContributionsSmith, Mark J. T., United States. National Aeronautics and Space Administration.
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL18121663M

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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. 3. 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. S. 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.