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System for video game enhancement us...

Thibeault, Christopher J.

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System for video game enhancement using console emulator state information and scene recognition.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	System for video game enhancement using console emulator state information and scene recognition./
Author:	Thibeault, Christopher J.
Description:	115 p.
Notes:	Source: Masters Abstracts International, Volume: 51-05.
Contained By:	Masters Abstracts International51-05(E).
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1536024
ISBN:	9781303034251

System for video game enhancement using console emulator state information and scene recognition.
Thibeault, Christopher J.

System for video game enhancement using console emulator state information and scene recognition. - 115 p.

Source: Masters Abstracts International, Volume: 51-05.

Thesis (M.S.)--University of Rhode Island, 2013.

Video game console emulators have long had a need to improve the quality of their graphical output to accommodate higher video resolutions and increased consumer expectations. Previous attempts at providing improved visual quality have relied on interpolation-based filters and, more recently, fullscreen raster-to-vector graphics conversion. Interpolation filters produce low-quality results at low computational cost. Conversion to vector graphics can produce high-quality results, but at a high computational cost. In all cases, these algorithms work on the full frame of graphical data at once, which can introduce errors in the result due to the inability of these algorithms to separate foreground graphics from background graphics.

ISBN: 9781303034251Subjects--Topical Terms:

626642
Computer Science.

System for video game enhancement using console emulator state information and scene recognition.
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100 1 $a Thibeault, Christopher J. $3 2095056
245 1 0 $a System for video game enhancement using console emulator state information and scene recognition.
300 $a 115 p.
500 $a Source: Masters Abstracts International, Volume: 51-05.
500 $a Adviser: Jean-Yves Herve.
502 $a Thesis (M.S.)--University of Rhode Island, 2013.
520 $a Video game console emulators have long had a need to improve the quality of their graphical output to accommodate higher video resolutions and increased consumer expectations. Previous attempts at providing improved visual quality have relied on interpolation-based filters and, more recently, fullscreen raster-to-vector graphics conversion. Interpolation filters produce low-quality results at low computational cost. Conversion to vector graphics can produce high-quality results, but at a high computational cost. In all cases, these algorithms work on the full frame of graphical data at once, which can introduce errors in the result due to the inability of these algorithms to separate foreground graphics from background graphics.
520 $a This thesis investigates the modification of an existing emulator to achieve the goals of high-performance and higher-quality enhancement than what has previously been available. Two approaches were implemented and compared. The first uses traditional image processing techniques to perform object detection. The second uses a modified emulator to access virtual hardware state information to perform object detection. The results of object detection are used to perform replacement of all graphics with high-resolution replacements and to implement a form of scene recognition to add additional graphical and audio effects.
520 $a The system developed as part of this research uses a modified version of the FCEUX emulator for the Nintendo Entertainment System. The performance of the using virtual hardware state information as a means of object detection and localization has been found to be more efficient and accurate than using image processing algorithms. Using this system, a substantial audio-visual upgrade was successfully developed for a commercially-released game.
590 $a School code: 0186.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Computer. $3 1669061
690 $a 0984
690 $a 0464
710 2 $a University of Rhode Island. $b Computer Science. $3 2049785
773 0 $t Masters Abstracts International $g 51-05(E).
790 $a 0186
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1536024