Depth Partitioning and Coding Mode Selection Statistical Analysis for SHVC

Abstract

Abstract-The Scalable High Efficiency Video Coding (SHVC) has been proposed to improve the coding efficiency. However, this additional extension generally results an important coding complexity. Several studies were performed to overcome the complexity through algorithmic optimizations that led to an encoding time reduction. In fact, mode decision analysis is imperatively important in order to have an idea about the partitioning modes based on two parameters, such as prediction unit size and frame type. This paper presents statistical observations at two levels: coding units (CUs) and prediction units (PUs) selected by the encoder. Analysis was performed for several test sequences with different motion and texture characteristics. The experimental results show that the percentage of choosing coding or prediction unit size and type depends on sequence parameters, frame type, and temporal level.

DSP TMS320C6678 Based SHVC Encoder Implementation and its Optimization

“…Hence, the SHVC standard [1], defined as the scalable extension of the high efficiency video coding standard, is held for a wide range of applications. Moreover, SHVC achieves a high video quality with an efficient data compression when compared to other existing new video coding standards [2]. Coupled with the existing HEVC features, new video coding tools are added to SHVC, making it a more efficient standard.…”

“…Coupled with the existing HEVC features, new video coding tools are added to SHVC, making it a more efficient standard. However, this efficiency entails an additional increase in complexity for both encoding and decoding processes [2].…”

“…Due to the computational complexity of this standard, several implementation solutions are performed on different processors and platforms [2]. However, this implementation still may not satisfy real-time constraints that can be overcome using a high clock frequency and large size memory platforms.…”