2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2017
DOI: 10.1109/isitia.2017.8124051
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Real-time video quality assessment based on fuzzy inference system for analog television tracking antenna system

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Cited by 3 publications
(4 citation statements)
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“…A novel solution for antenna tracking analog terrestrial TV system was proposed by analyzing the synchronization condition on Composite Video Burst Signal (CVBS) [5]. The method that utilizes CVBS shows superiority and effectiveness, however, it was designed and tested for analog TV receiver and needs complex coherent analysis and synchronization on the image, becoming not suitable for practical implementation for the case of unstable images in fuzzy space [6].…”
Section: Introductionmentioning
confidence: 99%
“…A novel solution for antenna tracking analog terrestrial TV system was proposed by analyzing the synchronization condition on Composite Video Burst Signal (CVBS) [5]. The method that utilizes CVBS shows superiority and effectiveness, however, it was designed and tested for analog TV receiver and needs complex coherent analysis and synchronization on the image, becoming not suitable for practical implementation for the case of unstable images in fuzzy space [6].…”
Section: Introductionmentioning
confidence: 99%
“…However, all of the previous proposed methods are highly complex in process. In [4], [10] - [12], Composite Video Baseband Signal (CVBS) is used to obtain video clarity information by calculating rising transition between synchronization level and blanking level. This method is simple and can be applied to microcontroller with low computational capability.…”
Section: Introductionmentioning
confidence: 99%
“…Even so, the CVBS signal processing is still too simple and needs improvement. The CVBS signal processing results are then developed for real time VQA (Video Quality Assessment) [10]. The CVBS signal processing results have been developed with the approach of visual perception [11].…”
Section: Introductionmentioning
confidence: 99%
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