MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02412nam a2200253 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231230t2011 us a||||s|||| 00| 0 eng | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780262015776 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780262298353 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
Universiti Teknologi Brunei |
| Language of cataloging |
eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Blake, Andrew. |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Markov Random Fields for Vision and Image Processing |
| Statement of responsibility, etc. |
Andrew Blake, Pushmeet Kohli, Carsten Rother. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Cambridge, Mass : |
| Name of publisher, distributor, etc. |
The MIT Press. |
| Date of publication, distribution, etc. |
2011. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
This book is automatically accessible within the University internet network. To learn how to access it outside the campus, visit: https://www.utb.edu.bn/media/cv5fcgwb/remote-access-for-ebscohost.pdf |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications.After an introduction to the fundamental concepts used in MRFs, the book reviews some of the main algorithms for performing inference with MRFs; presents successful applications of MRFs, including segmentation, super-resolution, and image restoration, along with a comparison of various optimization methods; discusses advanced algorithmic topics; addresses limitations of the strong locality assumptions in the MRFs discussed in earlier chapters; and showcases applications that use MRFs in more complex ways, as components in bigger systems or with multiterm energy functions. The book will be an essential guide to current research on these powerful mathematical tools. |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Markov random fields |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer vision |
| General subdivision |
Mathematics |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Relator term |
auhtor |
| Personal name |
Kohli, Pushmeet. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Relator term |
author |
| Personal name |
Rother,Carsten. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=386846&site=ehost-live">https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=386846&site=ehost-live</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Local Classification |
| Koha item type |
Ebook Collection |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Internal field |
Electronic Book |
| CC (RLIN) |
Reference No: 4736965 / 10.12.21 / ns277138 Date: 12 October 2021 -- (UTB) – EBSCO International, INC |
