Performance Enhancement for quality inter- layer Scalable Video Coding Abstract: One of advanced video coding standard is scalable video coding (SVC) extension of H.264/AVC, SVC provides multimedia service within variable transport environments. SVC is a large computation complexity in encoding processing, through using the exhaustive search technique. The encoding processing included the select macroblock mode and motion vector layer. This paper introduces a new proposed algorithm to reduce this complexity with saving quality. Scalable quality inter-layer performance enhancement (SQILPE) proposed algorithm depends on analysis amount of change in intensity value of pixels in the MB and video statistics. Experimental results show that the proposed fast mode decision algorithm can achieve computational savings up to 77.6% with almost no loss in quality. Keywords: moition vector, moition estmation, Quality SVC, SNR SVC, macroblocks. 1. INTRODUCTION Many heterogenous demands required this day for a video sequence. SVC is one of recent video coding standards based on H.264/AVC [1] [2], Which provided more resilience in dealing with multiy different requierments of video sequance ensursnce efficient video coding Performance. Through high compression ratio and saving the quality[3]. The SVC/H.264 take considerable time in coding processing for computation the best mode of macroblock and motion estimation through using the exhaustive search techniques [4]. There are eight macroblock models for inter prediction (SKIP, MODE_16x16, MODE_16x8, MODE_8x16, MODE_8x8, MODE_8x4, MODE_4x8, and MODE_4x4) [5] [6] , and two intra modes (INTRA_4x4 and INTRA_16x16 [7] [8]. For the monition vector estimation, there are three-layers full pixel, subpixel (half pixel and quarter pixel) [9] [10]. The reasons for using subpixel come from difference reasons; Sampling: converting, Lighting condition, Noise, Camera shaking: camera shaking can bring motion effect to stationary objects[11] [12]. Mayada Khairy Computers and Systems Dept. Electronics Research Institute, ERI Giza, Egypt Alaa Hamdy, Electronics, Communications & Computers Dept. Helwan University Cairo, Egypt Amr Elsayed Electronics, Communications & Computers Dept. Helwan University Cairo, Egypt Hesham Farouk Computers and Systems Dept. Electronics Research Institute, ERI Cairo, Egypt International Journal of Computer Science and Information Security (IJCSIS), Vol. 15, No. 8, Augus 2017 240 https://sites.google.com/site/ijcsis/ ISSN 1947-5500