Spatio-Temporal Saliency Map and Its Application in Bitsteam Extraction for Scalable Video Coding

被引：0

作者：

Liu, Wei ^{[1
]}

Chen, Xu ^{[2
]}

Liang, Yong-sheng ^{[1
]}

机构：

[1] Shenzhen Inst Informat Technol, Shenzhen, Peoples R China

[2] HiSilicon Technol Co Ltd, Shenzhen, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE 2014) | 2014年

基金：

中国国家自然科学基金;

关键词：

Scalable video coding; Spatio-Temporal Saliency Map; Bitstream extraction; Subjective perception; QUALITY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A bitsteam extraction method for SVC based on Spatio-Temporal saliency map is presented in this paper. Mathematic models are introduced to describe the tasks in mechanism of Human Visual System (HVS), such as extraction of salient areas and shift of attention focus, which result in a Spatio-Temporal saliency map. According to this map a rate allocation method based on greedy algorithm for enhancement layers is proposed to extract substream, and the algorithm is optimized according to the characteristics of HVS. Experiments show that the proposed method can simulate the characteristics of HVS, and assure subjective visual quality when the bandwidth is limited.

引用

页码：173 / 178

页数：6

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