The Resource Control grid motion estimation for efficient application of optical flow, hristine M. Zwart and David H. Frakes, (electronic book)
Control grid motion estimation for efficient application of optical flow, hristine M. Zwart and David H. Frakes, (electronic book)
Resource Information
The item Control grid motion estimation for efficient application of optical flow, hristine M. Zwart and David H. Frakes, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Control grid motion estimation for efficient application of optical flow, hristine M. Zwart and David H. Frakes, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- Motion estimation is a long-standing cornerstone of image and video processing. Most notably, motion estimation serves as the foundation for many of today's ubiquitous video coding standards including H.264. Motion estimators also play key roles in countless other applications that serve the consumer, industrial, biomedical, and military sectors. Of the many available motion estimation techniques, optical flow is widely regarded as most flexible. The flexibility offered by optical flow is particularly useful for complex registration and interpolation problems, but comes at a considerable computational expense. As the volume and dimensionality of data that motion estimators are applied to continue to grow, that expense becomes more and more costly. Control grid motion estimators based on optical flow can accomplish motion estimation with flexibility similar to pure optical flow, but at a fraction of the computational expense. Control grid methods also offer the added benefit of representing motion far more compactly than pure optical flow. This booklet explores control grid motion estimation and provides implementations of the approach that apply to data of multiple dimensionalities. Important current applications of control grid methods including registration and interpolation are also developed
- Language
- eng
- Extent
- 1 electronic text (viii, 79 p.)
- Contents
-
- 1. Introduction -- 1.1 Registration and motion estimation -- 1.2 Block-based motion estimation -- 1.3 Optical flow -- 1.4 Conventions -- 1.5 Organization of the book --
- 2. Control grid interpolation (CGI) -- 2.1 Conventional CGI formulation -- 2.1.1 One-dimensional -- 2.1.2 Two-dimensional -- 2.2 Multiresolution and adaptive CGI formulations -- 2.3 Optimization mathematics -- 2.3.1 One-dimensional control grid and one degree of freedom optical flow -- 2.3.2 Two dimensional control grid and one degree of freedom optical flow -- 2.3.3 Two-dimensional control grid and two degrees of freedom optical flow -- 2.4 Symmetric implementations -- 2.5 Summary --
- 3. Application of CGI to registration problems -- 3.1 Registration of one-dimensional data: inter-vector registration -- 3.1.1 Dynamic timewarping -- 3.1.2 Isophote identification -- 3.2 Registration of two-dimensional data: inter-image registration -- 3.2.1 Motion estimation -- 3.2.2 Mitigation of atmospheric turbulence distortion -- 3.2.3 Medical image registration -- 3.3 Summary --
- 4. Application of CGI to interpolation problems -- 4.1 Interpolation of 1D data: inter-vector interpolation -- 4.1.1 Single-image super-resolution -- 4.1.2 Video deinterlacing -- 4.2 Interpolation of 2D data: inter-image interpolation -- 4.2.1 Inter-frame interpolation -- 4.2.2 Inter-slice interpolation -- 4.3 Summary --
- 5. Discussion and conclusions -- 5.1 Strengths and weaknesses -- 5.2 Application to higher-dimensions and multivariate optimization -- 5.3 Final thoughts and conclusions --
- Bibliography -- Authors' biographies
- Isbn
- 9781607051305
- Label
- Control grid motion estimation for efficient application of optical flow
- Title
- Control grid motion estimation for efficient application of optical flow
- Statement of responsibility
- hristine M. Zwart and David H. Frakes
- Language
- eng
- Summary
- Motion estimation is a long-standing cornerstone of image and video processing. Most notably, motion estimation serves as the foundation for many of today's ubiquitous video coding standards including H.264. Motion estimators also play key roles in countless other applications that serve the consumer, industrial, biomedical, and military sectors. Of the many available motion estimation techniques, optical flow is widely regarded as most flexible. The flexibility offered by optical flow is particularly useful for complex registration and interpolation problems, but comes at a considerable computational expense. As the volume and dimensionality of data that motion estimators are applied to continue to grow, that expense becomes more and more costly. Control grid motion estimators based on optical flow can accomplish motion estimation with flexibility similar to pure optical flow, but at a fraction of the computational expense. Control grid methods also offer the added benefit of representing motion far more compactly than pure optical flow. This booklet explores control grid motion estimation and provides implementations of the approach that apply to data of multiple dimensionalities. Important current applications of control grid methods including registration and interpolation are also developed
- Cataloging source
- CaBNVSL
- http://library.link/vocab/creatorName
- Zwart, Christine M
- Dewey number
- 621.367
- Illustrations
- illustrations
- Index
- no index present
- LC call number
- TA1637
- LC item number
- .Z823 2013
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- abstracts summaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1976-
- http://library.link/vocab/relatedWorkOrContributorName
- Frakes, David H.
- http://library.link/vocab/subjectName
- Image processing
- Target audience
-
- adult
- specialized
- Label
- Control grid motion estimation for efficient application of optical flow, hristine M. Zwart and David H. Frakes, (electronic book)
- Bibliography note
- Includes bibliographical references (p. 71-78)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 1. Introduction -- 1.1 Registration and motion estimation -- 1.2 Block-based motion estimation -- 1.3 Optical flow -- 1.4 Conventions -- 1.5 Organization of the book --
- 2. Control grid interpolation (CGI) -- 2.1 Conventional CGI formulation -- 2.1.1 One-dimensional -- 2.1.2 Two-dimensional -- 2.2 Multiresolution and adaptive CGI formulations -- 2.3 Optimization mathematics -- 2.3.1 One-dimensional control grid and one degree of freedom optical flow -- 2.3.2 Two dimensional control grid and one degree of freedom optical flow -- 2.3.3 Two-dimensional control grid and two degrees of freedom optical flow -- 2.4 Symmetric implementations -- 2.5 Summary --
- 3. Application of CGI to registration problems -- 3.1 Registration of one-dimensional data: inter-vector registration -- 3.1.1 Dynamic timewarping -- 3.1.2 Isophote identification -- 3.2 Registration of two-dimensional data: inter-image registration -- 3.2.1 Motion estimation -- 3.2.2 Mitigation of atmospheric turbulence distortion -- 3.2.3 Medical image registration -- 3.3 Summary --
- 4. Application of CGI to interpolation problems -- 4.1 Interpolation of 1D data: inter-vector interpolation -- 4.1.1 Single-image super-resolution -- 4.1.2 Video deinterlacing -- 4.2 Interpolation of 2D data: inter-image interpolation -- 4.2.1 Inter-frame interpolation -- 4.2.2 Inter-slice interpolation -- 4.3 Summary --
- 5. Discussion and conclusions -- 5.1 Strengths and weaknesses -- 5.2 Application to higher-dimensions and multivariate optimization -- 5.3 Final thoughts and conclusions --
- Bibliography -- Authors' biographies
- Control code
- 201212ASE011
- Dimensions
- unknown
- Extent
- 1 electronic text (viii, 79 p.)
- File format
- multiple file formats
- Form of item
- online
- Isbn
- 9781607051305
- Issn
- 1938-1735
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- ill., digital file.
- Reformatting quality
- access
- Specific material designation
- remote
- Label
- Control grid motion estimation for efficient application of optical flow, hristine M. Zwart and David H. Frakes, (electronic book)
- Bibliography note
- Includes bibliographical references (p. 71-78)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 1. Introduction -- 1.1 Registration and motion estimation -- 1.2 Block-based motion estimation -- 1.3 Optical flow -- 1.4 Conventions -- 1.5 Organization of the book --
- 2. Control grid interpolation (CGI) -- 2.1 Conventional CGI formulation -- 2.1.1 One-dimensional -- 2.1.2 Two-dimensional -- 2.2 Multiresolution and adaptive CGI formulations -- 2.3 Optimization mathematics -- 2.3.1 One-dimensional control grid and one degree of freedom optical flow -- 2.3.2 Two dimensional control grid and one degree of freedom optical flow -- 2.3.3 Two-dimensional control grid and two degrees of freedom optical flow -- 2.4 Symmetric implementations -- 2.5 Summary --
- 3. Application of CGI to registration problems -- 3.1 Registration of one-dimensional data: inter-vector registration -- 3.1.1 Dynamic timewarping -- 3.1.2 Isophote identification -- 3.2 Registration of two-dimensional data: inter-image registration -- 3.2.1 Motion estimation -- 3.2.2 Mitigation of atmospheric turbulence distortion -- 3.2.3 Medical image registration -- 3.3 Summary --
- 4. Application of CGI to interpolation problems -- 4.1 Interpolation of 1D data: inter-vector interpolation -- 4.1.1 Single-image super-resolution -- 4.1.2 Video deinterlacing -- 4.2 Interpolation of 2D data: inter-image interpolation -- 4.2.1 Inter-frame interpolation -- 4.2.2 Inter-slice interpolation -- 4.3 Summary --
- 5. Discussion and conclusions -- 5.1 Strengths and weaknesses -- 5.2 Application to higher-dimensions and multivariate optimization -- 5.3 Final thoughts and conclusions --
- Bibliography -- Authors' biographies
- Control code
- 201212ASE011
- Dimensions
- unknown
- Extent
- 1 electronic text (viii, 79 p.)
- File format
- multiple file formats
- Form of item
- online
- Isbn
- 9781607051305
- Issn
- 1938-1735
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- ill., digital file.
- Reformatting quality
- access
- Specific material designation
- remote
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Control-grid-motion-estimation-for-efficient/GsbzEcUFH8c/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Control-grid-motion-estimation-for-efficient/GsbzEcUFH8c/">Control grid motion estimation for efficient application of optical flow, hristine M. Zwart and David H. Frakes, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
