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Novel use of video and image analysi...
~
Stobaugh, John David.
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Novel use of video and image analysis in a video compression system.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Novel use of video and image analysis in a video compression system./
Author:
Stobaugh, John David.
Description:
60 p.
Notes:
Source: Masters Abstracts International, Volume: 54-06.
Contained By:
Masters Abstracts International54-06(E).
Subject:
Electrical engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1592737
ISBN:
9781321883718
Novel use of video and image analysis in a video compression system.
Stobaugh, John David.
Novel use of video and image analysis in a video compression system.
- 60 p.
Source: Masters Abstracts International, Volume: 54-06.
Thesis (M.S.)--The University of Iowa, 2015.
As consumer demand for higher quality video at lower bit-rate increases, so does the need for more sophisticated methods of compressing videos into manageable file sizes. This research attempts to address these concerns while still maintaining reasonable encoding times. Modern segmentation and grouping analysis are used with code vectorization techniques and other optimization paradigms to improve quality and performance within the next generation coding standard, High Efficiency Video Coding. This research saw on average a 50% decrease in run-time by the encoder with marginal decreases in perceived quality.
ISBN: 9781321883718Subjects--Topical Terms:
649834
Electrical engineering.
Novel use of video and image analysis in a video compression system.
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60 p.
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Source: Masters Abstracts International, Volume: 54-06.
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Adviser: Gary Christensen.
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Thesis (M.S.)--The University of Iowa, 2015.
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As consumer demand for higher quality video at lower bit-rate increases, so does the need for more sophisticated methods of compressing videos into manageable file sizes. This research attempts to address these concerns while still maintaining reasonable encoding times. Modern segmentation and grouping analysis are used with code vectorization techniques and other optimization paradigms to improve quality and performance within the next generation coding standard, High Efficiency Video Coding. This research saw on average a 50% decrease in run-time by the encoder with marginal decreases in perceived quality.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1592737
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