Efficient spatial scalability algorithm for H.264/SVC encoders

TLDR: An efficient scalability algorithm (ESA) for H.264/SVC in spatial scalability which uses directional filtering and Linear Minimum Mean Square Estimation (LMMSE) is proposed and the experimental results confirm that the performance of the proposed method is better than that of the existing H. 264/Scalable Video Coding standard.

Abstract: As a scalable extension to the state-of-the-art H.264/AVC video coding standard, Scalable Video Coding (SVC) provides support for multiple display resolutions within a single compressed bit stream (or in hierarchically related bit streams). Similar to H.262 · MPEG-2 Video and MPEG-4 Visual, H.264/scalable video coding (SVC) supports spatial scalable coding, which can be obtained by up-scaling the image sequences with lower resolution. Since the performance of up-scaling technique directly affect the video quality. In order to improve the video quality with an effective up-sampling method, we propose an efficient scalability algorithm (ESA) for H.264/SVC in spatial scalability which uses directional filtering and Linear Minimum Mean Square Estimation (LMMSE). The experimental results confirm that the performance of the proposed method is better than that of the existing H.264/Scalable Video Coding standard.