Browsing by Author "Siriwhaddhanah Pongpadpinit"
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    Motion vector recovery for error concealment based on angular similarity
    ( 2009-07) Siriwhaddhanah Pongpadpinit
    This paper presents a motion vector (MV) recovery using the similarity of the angle of the corresponding surrounded MVs. The approach is based on the assumption that a group of macroblocks (MBs) which belongs to the same object and resides in the same region likely to move in the same direction. hence, those corresponded MVs that move in the same direction likely to have similar angle. As a result a lost motion vector can be estimated using a set of candidate MVs selected from the neighbouring MVs on the left, top-left, top, top-right, right, bottom-right, bottom and bottom-left. The experimental resuts for several test video sequences are compared with conventional error concealment methods and higher performance is achieved in both objective peak signal-to-noise ratio (PSNR) measurements and subjective visual quality.
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    Performance Evaluation of Adaptive Rate Control over Uncompressed High-Definition Content Transmission with Paralleled Digital Subscriber Lines
    ( 2015) Surasee Prahmkaew ; Siriwhaddhanah Pongpadpinit ; Piboonlit Viriyaphol ; Chanintorn Jittawiriyanukoon
    High-Definition (HD) information is the consumed bandwidth application in Telecommunication network. The quality of service (QoS) on uncompressed High-Definition content transmission with Paralleled Digital Subscriber Lines is needed in smooth information transmission and most tasks on QoS are served by each telecommunication network operator. The Adaptive Rate Control (ARC) is introduced and deployed on High-Definition (HD) contents transmitting on Paralleled Digital Subscriber Lines and compare with classical mechanism to provide more reliability, utilization, and throughput before served in telecommunication network. In this paper we simulated the application of the paralleled Digital Subscriber Lines (DSLs) to deliver the HD information, As results, the performances of communication are evaluated base on throughputs, utilization, and queue performance matrices. Finally results were impressive to support by ARC.