This paper describes a class of scheduling algorithms for video streaming over distributed channels by applying multiple threshold enhanced mechanism. The theme of this research is to manage the Collaborated Streaming Frame Acquiring Technique (CSFA) to improve the quality and reliability of media streaming which f ulfills the reliable protocol transmission. Another goal of this research is to manage the critical processing stages, which enhances encoded ratio with uniform quantized values. Simultaneously other proposed algorithm (Embedded Enhanced Algorithm) actually improves the image contrast, controls the brightness level, filters the image to remove the noisy effects and also sharpens its edges at the receiving end. T he results show the performance accuracy of 85%-90% gain with better achievement than a number of previous techniques in all the above processes in an encouraging manner.
[1]
Philip A. Chou,et al.
Rate-distortion optimized streaming of packetized media
,
2006,
IEEE Transactions on Multimedia.
[2]
Rabab Kreidieh Ward,et al.
Fast Image/Video Contrast Enhancement Based on WTHE
,
2006,
2006 IEEE Workshop on Multimedia Signal Processing.
[3]
Mahmood Fathy,et al.
A classified and comparative study of edge detection algorithms
,
2002,
Proceedings. International Conference on Information Technology: Coding and Computing.
[4]
Farzin Deravi,et al.
Variation of ISEF edge detector
,
2003
.
[5]
Rashid Ansari,et al.
Lightweight Streaming Protocol (LSP)
,
2002,
MULTIMEDIA '02.