A pixel orientation and adaptive search range based complexity reduction in H.264 scalable video coding

H.264 advanced video coding (AVC) is prolonged to scalable video coding (SVC) for all categories of network transmission. Due to the adoption of exhaustive full search method, SVC computational complexity (CC) has increased when compared to AVC. To reduce the computational complexity, various fast mode decision (FMD) algorithms have been developed. In FMD algorithms, the selection of mode in macro block (MB) needs an efficient algorithm to reduce computational complexity. These FMD algorithms reduce Computational Complexity in saving time alone with no increment in peak signal to noise ratio (PSNR) or no detriments in bit rate. In other words, the existing FMD algorithms are effective in one measure viz., time saving as a reduction of computational complexity but doesn't affect PSNR and bit rate. This research paper describes how a pixel orientation algorithm (POA) executed for SVC will result in reduction of computations complexity in all three measures viz., time, PSNR and bit rate compared with the all existing algorithms. From the results, the overall performance of POA resulted in 3.76 % faster time, 1.43 dB increments in PSNR and 0.45 kbps detriments in bit rate as compared to joint scalable video model (JSVM).