Statistical analysis of SHVC encoded video

Wali, Ibtissem; Kessentini, Amina; Ayed, Mohamed Ali Ben; Nouri, Mohammad

doi:10.1109/ipas.2016.7880119

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…As shown in Fig.5. the CTU can be split into MxM, M/2xM/2, M/3xM/3, and M/4xM/4 with M equal to 64 [28],depending on their respective distortion rates. Furthermore, each CU can be split into prediction units (PUs) {symetric: MxM, MxM/2, M/2xM, M/2xM/2, and asymetric: MxM/4, Mx3M/4, M/4xM, and 3M/4xM } then into transform units (TUs) [29].…”

Section: Statistical Observationmentioning

confidence: 99%

Depth Partitioning and Coding Mode Selection Statistical Analysis for SHVC

Wali¹,

Kessentini²,

Ayed³

et al. 2017

ijacsa

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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.

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Section: Statistical Observationmentioning

confidence: 99%